artificial intelligence specialist

Genpact

<p></p><div><div><div>Ready to build the future with AI?<br>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.</div><div>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.</div><div>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.<br>
<br>
Inviting applications for the role of Consultant - Artificial Intelligence Developer<br>
In this role, you will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications.<br>
<br>
Responsibilities<br>
<ul><li>Build agents/components that reason, plan and act.</li><li>Implement frameworks, develop memory and tool-use capabilities, collaborate with prompt engineers</li><li>Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly.</li><li>Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set.</li><li>Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data.</li><li>Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios.</li><li>Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes.</li><li>Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments.</li><li>Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI.</li><li>Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.</li><li>Verifying data quality, and/or ensuring it via data cleaning</li><li>Defining validation strategies &amp; data augmentation pipelines</li><li>Designing, developing, and researching Machine Learning systems, models, and schemes</li><li>Good working knowledge on deep learning and advanced NLP techniques</li><li>Analyzing the use cases of ML algorithms and ranking them by their success probability</li><li>Should be excellent with Rasa Framework or any other chatbot interface.</li><li>Performing statistical analysis and using results to improve models.</li><li>Training and retraining ML systems and models in real-world situations</li><li>Visualizing data for deeper insights</li><li>Hands-On with Service / Incident Management tools: JIRA / ServiceNow</li><li>Knowledge and experience with Software Version Control systems: GIT, SVN etc.</li></ul></div><div>
Qualification<br>
(Minimum Qualification)<br>
<ul><li>BE/B Tech/MCA</li><li>Excellent written and verbal communication skills</li><li>Basic understanding of Investment Management/financial services domain knowledge</li></ul></div><div>
Preferred Qualifications/Skill<br>
<ul><li>Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to knowledge transfer within the team to foster a collaborative and learning-oriented environment.</li><li>Demonstrated expertise in artificial intelligence, machine learning, and deep learning.</li><li>Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch)</li><li>Experience with reinforcement learning and transfer learning in the context of General AI.</li><li>Knowledge of cognitive science principles and their application to AI development Skill Set</li><li>Machine learning</li><li>NLP and Advanced NLP</li><li>Public</li><li>Deep Learning (CNN,ANN,RNN)</li><li>Rasa</li><li>Pandas, sql</li><li>Python</li><li>Django, Flask</li><li>Tensorflow</li><li>Keras</li><li>Chatbot Development</li><li>Agile</li><li>AWS</li><li>GIT</li></ul></div><div>
Why join Genpact?<br>
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.<br>
Let&rsquo;s build tomorrow together.<br>
The approximate annual base compensation range for this position is $60000 to $75000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant&rsquo;s experience, knowledge, skills, and abilities; geographic location; and internal equity<br>
<ul><li>Work-from-Anywhere Roles &ndash; &ldquo;Los Angeles California-based candidates are not eligible for this role&rdquo;</li><li>Location-based Roles (e.g., Richardson roles &ndash; metro area can be adjusted by role location) &ndash; &ldquo;Los Angeles, California based candidates are not eligible for this role. &lt;Dallas Metro&gt; area candidates are eligible for this role only.&rdquo;</li></ul></div><div><br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobConsultant</p><p>
Primary LocationUSA-New York</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingApr 13, 2026, 9:02:35 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListConsulting</p><p>
Job CategoryFull Time</p></div>

Consultant - Artificial Intelligence Developer

Cooley LLP

<div><p>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.</p><p></p><p><b>
Position summary:</b> As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, under the direction of the Manager of Product Engineering, and collaborating directly with practitioners, technical teams, and innovation stakeholders, the Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer leads process automation initiatives by driving prototype-based discovery and building functional workflow demonstrations that validate repeatable, end-to-end processes&mdash;from defined inputs through tool orchestration to outputs that meet specified acceptance criteria. This includes developing multi-step automations that combine deterministic scripting with AI workflows, including advanced prompting, retrieval-augmented generation (RAG), and agentic techniques. This role partners across multiple domains including Practice Innovation, Knowledge Management, Software Engineering, as well as resource attorneys and other practitioners across a range of offices and practice areas. Specific duties and responsibilities include, but are not limited to, the following:</p><p></p><p><b>
Position responsibilities:</b></p><ul><li><p>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</p></li><li><p>
Elicit attorney/practitioner requirements, map end-to-end process steps, define decision points and failure modes, and produce clear acceptance criteria and test cases that make the workflow measurable and reviewable</p></li><li><p>
Rapidly build and iterate working proofs-of-concept that validate feasibility of repeatable processes, combining deterministic logic (rules/scripting) with AI steps (prompting, retrieval, tool-use/agents) to produce usable outputs aligned to acceptance criteria</p></li><li><p>
Working with Knowledge Management and practitioners, create/maintain the workflow&rsquo;s &ldquo;source of truth&rdquo; (playbooks, templates, matter-type guidance, clause libraries, FAQs), implement retrieval strategies and citation/traceability expectations, and partner with attorneys to ensure substantive content accuracy and ongoing governance of knowledge updates</p></li><li><p>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</p></li><li><p>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</p></li><li><p>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</p></li><li><p>
Coordinate training, support, documentation and resource material in support of processes and systems</p></li><li><p>
Engage with end-users to gather feedback, observe and map routines and processes</p></li><li><p>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</p></li><li><p>
All other duties as assigned or required</p></li></ul><p></p><p><b>
Skills and experience:</b></p><p>
Required:</p><ul><li><p>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</p></li><li><p>
Ability to work extended and/or weekend hours, as required</p></li><li><p>
Ability to travel, as required</p></li><li><p>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</p></li><li><p>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</p></li><li><p>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</p></li><li><p>
Experience designing and implementing retrieval-grounded generation in permissioned environments</p></li><li><p>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</p></li></ul><p></p><p>
Preferred:</p><ul><li><p>
Bachelor&rsquo;s degree</p></li><li><p>
Working knowledge of business analysis, knowledge management, information systems or other-related field</p></li><li><p>
Experience working in professional services, or a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys</p></li><li><p>
Knowledge of legal concepts related to the business of the firm and the legal industry</p></li><li><p>
Familiarity with agile development methodologies</p></li><li><p>
Experience engaging with end-users to gather feedback, observe and map routines and processes</p></li><li><p>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</p></li><li><p>
Excellent attention to detail</p></li><li><p>
Excellent analytical skills</p></li><li><p>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</p></li><li><p>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</p></li><li><p>
Strong customer focus, with an emphasis on efficient and effective communications</p></li><li><p>
Solid relationship management, presentation and collaboration skills</p></li><li><p>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</p></li><li><p>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</p></li><li><p>
Entrepreneurial by nature</p></li><li><p>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</p></li><li><p>
Ability to drive projects to completion and achieve goals</p></li><li><p>
Team-player with collaborative spirit</p></li></ul><p></p><p>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.</p><p></p><p>
EOE.</p><p></p><p>
The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.</p><p></p><p>
We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&amp;D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&amp;D, LTD, short term medical benefits as well as 21 days of Paid Time Off (&ldquo;PTO&rdquo;) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.</p></div>

Artificial Intelligence (“AI”) Solutions Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role - Data &amp; AI Engineer
</div><div>Experience Required - 10+ Years</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div> <ul><li> 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure
</li></ul><ul><li> AI engineers with recent NodeJS/Javascript/Typescript experience
</li></ul><ul><li> Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
</li></ul><ul><li> Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
</li></ul><ul><li> Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
</li></ul><ul><li> Fluency with AI-assisted and agentic development workflows.
</li></ul><ul><li> Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
</li></ul><ul><li> Ability to influence technical direction and align teams without formal authority.
</li></ul><ul><li> Experience in workflow engines, async processing, queues, and streaming systems.
</li></ul><ul><li> Languages: NodeJS/Javascript/Typescript,Python, Go,
</li></ul><ul><li> APIs and services: REST, gRPC
</li></ul><ul><li> Cloud and infrastructure: AWS and/or GCP, Kubernetes
</li></ul><ul><li> Distributed systems: event-driven architectures, including Kafka
</li></ul><ul><li> Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc
</li></ul><ul><li> Integration of commercial and open-source LLMs into agentic workflows
</li></ul><ul><li> Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives
</li></ul><ul><li> Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow
</li></ul><ul><li> Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)</li></ul><div><br>
</div>
<div></div><br>
<div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><ul><li> Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
</li></ul><ul><li> Design, build, and operate production-grade agentic AI systems used across multiple products.
</li></ul><ul><li> Own and evolve shared agentic AI capabilities, including:
</li></ul><ul><li> Agent frameworks and orchestration layers
</li></ul><ul><li> Planning, tool use, and memory strategies
</li></ul><ul><li> Retrieval and grounding (RAG) pipelines
</li></ul><ul><li> LLM infrastructure, inference, and model gateways
</li></ul><ul><li> Evaluation, observability, and safety tooling for au tonomous systems
</li></ul><ul><li> Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
</li></ul><ul><li> Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
</li></ul><ul><li> Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
</li></ul><ul><li> Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul><br>
<div><br>
</div><div>Base Salary Range : $90,000 to $120,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>407237</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Big Data | Node JS</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data & AI Engineer

Aisles & Abroad

<div>
 <strong>
  Location: Remote (U.S.)
  <br/>
 </strong>
 <strong>
  About Us:
  <br/>
 </strong>
 We are a premier travel agency partnered with an award-winning host agency with over 70 years of experience. We specialize in crafting unforgettable getaways, offering cruises, hotels, vacation homes, all-inclusive resorts, and more to our valued clients.
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
 </strong>
 We are seeking a detail-oriented and customer-focused Cruise &amp; Hotel Booking Specialist to join our team. In this role, you will assist clients in planning and securing their ideal vacations, providing expert guidance and exceptional service every step of the way.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Assist clients in researching, planning, and booking cruises, hotels, and vacation packages
  </li>
  <li>
   Provide personalized recommendations based on clients&rsquo; preferences and budgets
  </li>
  <li>
   Work closely with top travel suppliers to secure exclusive deals and promotions
  </li>
  <li>
   Stay informed on industry trends, travel policies, and supplier offers
  </li>
  <li>
   Handle client inquiries, modifications, and cancellations in a professional and timely manner
  </li>
  <li>
   Maintain accurate records of bookings and client interactions
  </li>
  <li>
   Participate in training sessions and supplier webinars to enhance industry knowledge.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be 18+ and legally authorized to work in the U.S
  </li>
  <li>
   Excellent communication and customer service skills
  </li>
  <li>
   Passion for travel and helping others create unforgettable experiences
  </li>
  <li>
   Self-motivated with the ability to work independently
  </li>
  <li>
   Comfortable using online booking platforms and learning new software.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How to Apply:
  <br/>
 </strong>
 If you're passionate about travel and ready to embark on a rewarding career, we'd love to hear from you! Apply now to join our growing team.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Cruise & Hotel Booking Specialist | Fully Remote

Datadog

<div>
 As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.
 <br/>
 <br/>
 Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.
 <br/>
 <br/>
 We are focused on two research areas:
 <br/>
 <br/>
 <ul>
  <li>
   World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
  </li>
  <li>
   Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
  </li>
  <li>
   Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
  </li>
  <li>
   Design and build simulated environments and RL training loops for on-policy agent training and evaluation
  </li>
  <li>
   Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
  </li>
  <li>
   Stay at the forefront of foundation models, world models, and RL-based agent research
  </li>
  <li>
   Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience)
  </li>
  <li>
   You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
  </li>
  <li>
   You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
  </li>
  <li>
   You are familiar with efficient training, post-training, and inference techniques for large foundation models
  </li>
  <li>
   You can explain complex models and research findings to both technical and non-technical audiences
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points (any of the following):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
  </li>
  <li>
   Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
  </li>
  <li>
   Experience writing production data pipelines and applications
  </li>
  <li>
   Hands-on experience with GPU programming and optimization, including CUDA
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you&rsquo;re passionate about technology and want to grow your skills, we encourage you to apply.
  <br/>
  <br/>
 </em>
 <strong>
  Benefits and Growth:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive global benefits
  </li>
  <li>
   New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  </li>
  <li>
   Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
  </li>
  <li>
   Opportunity to attend and present at conferences and meetups
  </li>
  <li>
   Intra-departmental mentor and buddy program for in-house networking
  </li>
  <li>
   An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
  <br/>
  <br/>
 </em>
 <strong>
  About Datadog:
  <br/>
  <br/>
 </strong>
 Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers&rsquo; entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
 <br/>
 <br/>
 <strong>
  Equal Opportunity at Datadog:
  <br/>
  <br/>
 </strong>
 Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
 <br/>
 <br/>
 <strong>
  Your Privacy:
  <br/>
  <br/>
 </strong>
 Any information you submit to Datadog as part of your application will be processed in accordance with Datadog&rsquo;s Applicant and Candidate Privacy Notice.
 <br/>
 <br/>
 Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
 <br/>
 <br/>
 The reasonably estimated yearly salary for this role at Datadog is:
 <br/>
 <br/>
 $140,000&mdash;$400,000 USD
 <br/>
 <br/>
 <strong>
  About Datadog:
  <br/>
  <br/>
 </strong>
 Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers&rsquo; entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
 <br/>
 <br/>
 <strong>
  Equal Opportunity at Datadog:
  <br/>
  <br/>
 </strong>
 Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
 <br/>
 <br/>
 Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
 <br/>
 <br/>
 <strong>
  Privacy and AI Guidelines:
  <br/>
  <br/>
 </strong>
 Any information you submit to Datadog as part of your application will be processed in accordance with Datadog&rsquo;s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
</div>


AI Research Scientist – Datadog AI Research (DAIR)

ReadMe

<div>
 <strong>
  📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US)
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring an AI Engineer to shape how AI shows up across ReadMe&rsquo;s product: from how developers explore and understand APIs to how companies author and maintain their documentation.
 <br/>
 <br/>
 We&rsquo;re at the forefront of a major shift in developer experience:
 <br/>
 <br/>
 <ul>
  <li>
   AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable
  </li>
  <li>
   At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI
   <br/>
   <br/>
  </li>
 </ul>
 We're a small team of humans (and one owl) working together to do big things &mdash; and that&rsquo;s where you come in. In this role you&rsquo;ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture.
 <br/>
 <br/>
 🦉 What we do
 <br/>
 <br/>
 ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you&rsquo;ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you&rsquo;ve used ReadMe!
 <br/>
 <br/>
 We love what we do because it&rsquo;s so much more than just documentation. We&rsquo;re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We&rsquo;ve got great support from our investors at Accel who led our Series A, and our interview process reflects the open, caring, and whimsical culture we want to maintain as we scale.
 <br/>
 <br/>
 ✅ What you&rsquo;ll do here
 <br/>
 <br/>
 This isn&rsquo;t a feature team where a PM hands you tickets. You&rsquo;ll help decide what gets built, why it matters, and how it works end-to-end. You&rsquo;ll work on systems that are already live across thousands of developer hubs and define what they become next.
 <br/>
 <br/>
 ReadMe's AI surface spans three bets we're doubling down on:
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 <ul>
  <li>
   Documentation that writes itself. AI that watches code change and keeps docs current &mdash; from PR-level suggestions to org-wide audits that surface and fix quality issues at scale.
  </li>
  <li>
   Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through.
  </li>
  <li>
   APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines.
   <br/>
   <br/>
  </li>
 </ul>
 Day to day, you&rsquo;ll:
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 <ul>
  <li>
   Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features.
  </li>
  <li>
   Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation.
  </li>
  <li>
   Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality.
  </li>
  <li>
   Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries.
  </li>
  <li>
   Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches.
  </li>
  <li>
   Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail.
  </li>
  <li>
   Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.
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   <br/>
  </li>
 </ul>
 💙 You'll love this job if you...
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 <ul>
  <li>
   Want to own meaningful systems end-to-end, not just features.
  </li>
  <li>
   Care deeply about developer experience and documentation quality.
  </li>
  <li>
   Enjoy working on problems where AI, APIs, and product design intersect.
  </li>
  <li>
   Have strong instincts about what makes AI actually useful and where the industry is headed.
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   <br/>
  </li>
 </ul>
 ️ ⭐️ This role is a great fit if you have...
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 <ul>
  <li>
   Experience building with LLMs in production, not just prototypes.
  </li>
  <li>
   Strong JavaScript/TypeScript or Python experience.
  </li>
  <li>
   Experience working with:
  </li>
  <ul>
   <li>
    Embeddings and retrieval systems (RAG).
   </li>
   <li>
    Prompting and structured outputs.
   </li>
   <li>
    Evaluation and iteration of AI systems (quality, latency, cost).
   </li>
  </ul>
  <li>
   Comfort working with APIs and structured data (JSON, OpenAPI, schemas).
  </li>
  <li>
   Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces.
  </li>
  <li>
   Strong instincts around when to use AI vs. deterministic approaches.
  </li>
  <li>
   Experience improving AI reliability, observability, and production readiness.
  </li>
  <li>
   Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them.
   <br/>
   <br/>
  </li>
 </ul>
 🌱 How you'll grow within one month...
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 <ul>
  <li>
   Build a deep understanding of ReadMe&rsquo;s AI systems and product surfaces.
  </li>
  <li>
   Ship meaningful improvements to existing AI features.
  </li>
  <li>
   Get close to real customer workflows and pain points.
   <br/>
   <br/>
  </li>
 </ul>
 🪴 Within a few months, you'll...
 <br/>
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 <ul>
  <li>
   Own a core part of one of our AI systems.
  </li>
  <li>
   Drive improvements in quality, reliability, and user experience.
  </li>
  <li>
   Contribute to product and technical direction.
   <br/>
   <br/>
  </li>
 </ul>
 🌳 Within your first year, you'll...
 <br/>
 <br/>
 <ul>
  <li>
   Be a key driver of AI across the product.
  </li>
  <li>
   Ship systems used daily by thousands of developers and teams.
  </li>
  <li>
   Help define how AI reshapes developer hubs and API workflows.
   <br/>
   <br/>
  </li>
 </ul>
 🛣️ What's the hiring process like?
 <br/>
 <br/>
 <ul>
  <li>
   We can&rsquo;t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better!
  </li>
  <li>
   If we think we might be a good fit for you, we&rsquo;ll set up a 30 minute phone chat with our VP Engineering Moses! He&rsquo;ll tell you more about the role, and get a chance to hear about your experiences.
  </li>
  <li>
   Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we&rsquo;ll dive a bit more into your background.
  </li>
  <li>
   We&rsquo;ll then do a technical assessment with a couple of ReadMe engineers.
  </li>
  <li>
   Finally we&rsquo;ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you&rsquo;ll be interviewing with, and then have you talk with people one-on-one later on.
  </li>
  <li>
   We&rsquo;ll let you know how things went within a week! If it still seems like a good fit all around, we&rsquo;ll extend you an offer! If not, we will update you to let you know so you aren&rsquo;t left hanging.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ✨ Our Benefits Include&hellip;
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Unlimited PTO with a three-week minimum. 🏝️
  </li>
  <li>
   Fully covered medical, dental, and vision insurance for you, and 100% for your dependents.
  </li>
  <li>
   A One Medical membership. 👨&zwj;⚕️
  </li>
  <li>
   A gym or fitness stipend of up to $150 per month. 🏋️&zwj;&female;️
  </li>
  <li>
   One-to-one donation matching of up to $1,000 per year. 💸
  </li>
  <li>
   Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣
  </li>
  <li>
   Work from home. 🏠
  </li>
  <li>
   Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️
  </li>
  <li>
   Take a look at our handbook for more information on our benefits! 📘
   <br/>
   <br/>
  </li>
 </ul>
 Not sure if you&rsquo;d be the right fit? Apply anyway! We&rsquo;d love to see your application.
 <br/>
 <br/>
 <strong>
  At ReadMe, we&rsquo;re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.
  <br/>
  <br/>
 </strong>
</div>


AI Engineer

Metropolitan Commercial Bank

<div><p><b>Come Work With Us:</b></p>
<p>
Metropolitan Commercial Bank (&quot;MCB&quot; or the &quot;Bank&quot;) is a New York City&ndash;based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.</p>
<p>
Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.</p>
<p>
The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek's Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor's Choice recognition at the Banking Tech Awards USA for Digital Onboarding &amp; Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.</p>
<p>
We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human&ndash;AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank's website at MCBankNY.com.</p><br>
<p></p>
<p><b>
Position Summary:</b></p>
<p>
Metropolitan Commercial Bank (the &quot;Bank&quot;) is seeking an Applied AI Analyst to support the design, configuration, testing, and monitoring of applied AI, Generative AI, machine learning, and agentic workflow solutions in a highly regulated banking environment. Working under the guidance of AI Scientists and in partnership with engineering, risk, and business teams, this role focuses on internal human-in-the-loop use cases such as AI-assisted loan documentation generation, fraudulent transaction detection models, policy and knowledge copilots, workflow automation, and other productivity solutions. A meaningful portion of the role is dedicated to AI solution intake and delivery support&mdash; learning new business domains, engaging business owners, preparing required documentation, and supporting vendor and risk reviews, so that solutions can be built and deployed under strict control gates and documentation standards aligned to internal and external regulations. The role emphasizes strong documentation, human oversight, privacy-by-design, cybersecurity, and disciplined lifecycle controls aligned to internal and external regulations. The role also emphasizes familiarity with Microsoft Foundry / Foundry Agent Service, approved Microsoft Copilot ecosystems, RAG architectures, and enterprise data platforms such as Snowflake.</p>
<p><i>
Standard 4-day in-office requirement, 1 day remote (of your choosing)</i></p>
<p><b>
Essential Functions &amp; Responsibilities</b></p>
<p><b>
Applied AI solution development &amp; analysis:</b></p>
<ul>
<li>Support AI Scientists in building, configuring, and testing applied AI/GenAI solutions for high-value banking use cases such as credit memo generation, policy/regulatory summarization, knowledge assistants, and internal productivity copilots.</li>
<li>Develop and refine prompts, grounding instructions, structured outputs, evaluation datasets, and Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector search, document chunking, and metadata-driven retrieval.</li>
<li>Prepare and transform structured and unstructured data; assist with API integrations, notebooks, and repeatable workflows that improve quality, traceability, and analyst productivity.</li>
</ul>
<p><b>Agentic workflow design &amp; orchestration:</b></p>
<ul>
<li>Assist in designing and testing agentic workflows using approved enterprise platforms and frameworks, including multi-agent patterns, human-in-the-loop approvals, handoffs, and subagent / agents-as-tools designs.</li>
<li>Work with emerging interoperability patterns such as Model Context Protocol (MCP), tool / skill / plugin integration, and Agent-to-Agent (A2A) connectivity under supervision and within approved guardrails.</li>
<li>Document workflow steps, tool schemas, fallback logic, escalation paths, and safe disablement / rollback procedures for agentic and GenAI solutions.</li>
</ul>
<p><b>Microsoft Foundry, Copilot, and enterprise platform enablement:</b></p>
<ul>
<li>Support prototyping and evaluation in Microsoft Foundry / Foundry Agent Service and related Microsoft ecosystems (for example, Microsoft 365 Copilot) while partnering with Engineering and Data teams operating on Snowflake and other approved enterprise platforms.</li>
<li>Assist with prompt and agent configuration, retrieval integration, logging, model / tool versioning, and operational runbooks.</li>
</ul>
<p><b>Evaluation, testing, and monitoring:</b></p>
<ul>
<li>Create and execute test cases for accuracy, groundedness, hallucination, task completion, retrieval quality, bias/fairness, and basic adversarial or prompt-injection scenarios; escalate issues promptly.</li>
<li>Track KPIs/KRIs, output quality, drift indicators, and user feedback; maintain evidence needed for pilot reviews, production monitoring, and periodic reassessment.</li>
</ul>
<p><b>AI governance, intake documentation, and cybersecurity/privacy controls:</b></p>
<ul>
<li>Support AI use-case intake and governance processes by preparing required documentation (e.g., AI intake forms, model/system inventories, change-control artifacts, and audit-ready evidence packs) aligned to MCB's Trustworthy &amp; Responsible AI Principles and internal approval processes.</li>
<li>Learn domain and process context for new use cases by speaking with business owners and control partners; translate requirements into clear problem statements, data needs, user journeys, control gates, and documentation required to comply with internal and external regulations.</li>
<li>Support third-party / AI vendor due diligence by collecting and organizing evidence, reviewing vendor documentation, and helping risk-tier AI vendors and solutions in partnership with Third-Party Risk and Cyber/IT; act as an AI subject matter expert in providing an understanding of AI-specific risks.</li>
<li>Apply privacy-by-design, data minimization, access-control, and secure prompt/data handling practices; follow approved tooling and build standards.</li>
</ul>
<p><b>Cross-functional partnership and continuous learning:</b></p>
<ul>
<li>Communicate findings, limitations, and recommendations clearly to AI Scientists, managers, control partners (Model Risk, Compliance/Legal, Cyber/IT, Data Privacy), and business stakeholders; incorporate feedback quickly and accurately.</li>
<li>Contribute to playbooks, standard operating procedures, and reusable templates for prompts, evaluations, agent patterns, and workflow controls.</li>
</ul>
<p><b>Innovation and best practices:</b></p>
<ul>
<li>Stay current on practical applied-AI methods&mdash;including RAG, evaluation frameworks, agentic workflow design, MCP, A2A, and Microsoft Foundry capabilities&mdash;and recommend fit-for-purpose uses under established control gates.</li>
<li>Demonstrate sound judgment, curiosity, and willingness to learn from senior AI Scientists while promoting responsible AI, reproducibility, and disciplined execution.</li>
</ul>
<p><b>Qualifications &amp; Skills:</b></p>
<ul>
<li>2+ years of work experience.</li>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, Mathematics, or a related field is preferred. Relevant internships, apprenticeships, or comparable hands-on AI, analytics, or automation project experience will be considered.</li>
<li>Working knowledge of Python, SQL, notebooks, REST APIs, JSON/YAML, and version control (e.g., Git) for data analysis and AI workflow support.</li>
<li>Understanding of traditional machine learning model development and lifecycle concepts, including model training, data leakage prevention, testing/validation, monitoring, and common performance metrics for classification and regression.</li>
<li>Familiarity with LLM application patterns, including prompt engineering, structured outputs, function/tool calling, Retrieval-Augmented Generation (RAG), embeddings, and vector search.</li>
<li>Familiarity with Microsoft Foundry (including Foundry Agent Service), Microsoft 365 Copilot / Copilot Studio concepts, and approved enterprise data/AI platforms such as Snowflake.</li>
<li>Understanding of agentic workflow concepts such as MCP servers/tools, skills/plugins, subagents or agents-as-tools, handoffs, human-in-the-loop controls, and A2A integration patterns.</li>
<li>Ability to test and evaluate AI outputs for accuracy, groundedness, hallucination, retrieval quality, bias/fairness, and basic security misuse scenarios.</li>
<li>Working knowledge of model and data governance concepts, including documentation, monitoring, change control, inventories, audit trails, and three-lines-of-defense oversight in a regulated environment.</li>
<li>Strong written and verbal communication skills; ability to turn technical findings into clear summaries, test evidence, and action items for business and risk stakeholders.</li>
<li>Analytical, organized, and adaptable mindset; ability to learn quickly, manage multiple workstreams, and balance innovation with risk discipline.</li>
</ul>
<p><b>Preferred Qualifications &amp; Skills</b></p>
<ul>
<li>Financial services exposure in fraud, AML/KYC/CDD/EDD, underwriting, commercial banking, treasury, policy governance, or contact center analytics.</li>
<li>Hands-on experience with Microsoft Foundry / Foundry Agent Service, Azure AI Search or equivalent retrieval tooling, M365 Copilot / Copilot Studio, Snowflake, or similar enterprise AI platforms is a plus.</li>
<li>Experience with RAG architectures, vector databases / vector search, document chunking, metadata extraction, OCR/document understanding, and prompt engineering.</li>
<li>Exposure to agentic workflow patterns such as MCP tool integration, skills/plugins, handoffs, subagents, A2A, and evaluation frameworks for task completion and tool-call quality.</li>
<li>Familiarity with LangChain, Semantic Kernel, LangGraph, Microsoft Agent Framework, or similar orchestration libraries/frameworks is a plus.</li>
<li>Awareness of external regulations including SR 11-7, SR 23-4, AI use-case intake / inventory processes, privacy, cybersecurity, and third-party risk expectations in a regulated environment.</li>
<li>Ability to work in a constantly evolving environment.</li>
<li>Must have excellent written and verbal communication skills.</li>
<li>Demonstrate analytical, troubleshooting, and problem-solving skills.</li>
<li>The ability to learn new technologies quickly.</li>
<li>Self-directed individual with strong organizational and communication skills.</li>
<li>Ability to synthesize multiple sources of information with an understanding of the bigger picture needs and operations of the Bank.</li>
<li>Collaborative team player who can find practical solutions in a dynamic work environment.</li>
<li>Ability to handle ambiguity, manage multiple tasks at once, and shift effectively between priorities.</li></ul><br>
<p></p>
<p><b>
Potential Salary: $120,000 - $150,000 annually</b></p>
<p>
This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.</p>
<p>
Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</p>
<p>
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</p></div>

Applied AI Analyst

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