ai workflow engineer

Sysinn 

We are looking for a mid-level AI Automation &amp; Agent Engineer with 1&ndash;2 years of experience in AI workflows, automation, and integrations. The ideal candidate should be able to build and manage AI-driven systems that automate business operations, SEO workflows, reporting, lead generation, and internal processes.Key Responsibilities<ul><li>Build and manage AI agents and automation workflows</li><li>Automate daily operational, reporting, and marketing tasks</li><li>Develop AI workflows for:</li><li>- IT and digital marketing related tasks</li><li>- Lead generation &amp; outreach</li><li>- Monitoring &amp; reporting</li><li>- Employee performance tracking</li><li>- Task and workflow management</li><li>Integrate AI tools with CRMs, websites, spreadsheets, APIs, and databases</li><li>Create automated dashboards and reporting systems</li><li>Monitor and optimize AI agent performance</li><li>Research and implement new AI tools and automation technologies</li></ul>Requirements<ul><li>1&ndash;2 years of experience in AI automation or workflow automation</li><li>Experience with AI agents, ChatGPT/OpenAI APIs, Claude, Gemini, or similar AI platforms</li><li>Familiarity with tools like n8n, Make.com, Zapier, Airtable, Notion, Clawbot, and similar automation platforms</li><li>Basic programming/scripting knowledge (Python or JavaScript is a plus)</li><li>Understanding of APIs, webhooks, and integrations</li><li>Knowledge of SEO workflows, reporting systems, or business automation</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Skills<ul><li>Experience with CrewAI, LangChain, AutoGen, MCP, or similar agent frameworks</li><li>Experience with vector databases, RAG systems, or AI memory systems</li><li>Familiarity with cloud/VPS deployment and automation servers</li><li>Experience working in digital marketing, SEO, SaaS, or agency environments</li></ul>Work Location: Remote

AI Automation & Agent Engineer

The Que Studio

Job Title: AI Content &amp; Prompt EngineerWe are looking for a smart, creative, and forward-thinking AI Content &amp; Prompt Engineer to join our growing team. The ideal candidate will be responsible for using artificial intelligence tools to improve productivity, create high-quality content, automate workflows, and develop effective prompts that support marketing, sales, operations, and brand growth.Key Responsibilities:<ul><li>Develop and optimize prompts for AI tools such as OpenAI ChatGPT and other platforms</li><li>Create marketing content, captions, proposals, sales replies, and internal documents using AI tools</li><li>Build AI systems to improve workflow efficiency and team productivity</li><li>Research and implement new AI tools relevant to the business</li><li>Assist in automating repetitive tasks and communication processes</li><li>Train team members on effective AI usage and best practices</li><li>Review AI-generated outputs for quality, accuracy, and brand tone</li><li>Support management with innovation ideas and digital transformation initiatives</li></ul>Requirements:<ul><li>Strong understanding of AI tools, prompt writing, and automation workflows</li><li>Excellent writing and communication skills in Arabic and English preferred</li><li>Creative thinking with strong problem-solving ability</li><li>Organized, proactive, and results-driven mindset</li><li>Ability to adapt quickly to new technologies</li><li>Experience in marketing, operations, content creation, or business systems is a plus</li><li>Basic knowledge of no-code tools and integrations is an advantage</li></ul>What We Offer:<ul><li>Competitive salary based on experience</li><li>Opportunity to work on innovative and future-focused projects</li><li>Career growth opportunities</li><li>Dynamic and ambitious work environment</li></ul>If you are passionate about AI, innovation, and creating smarter business systems, we would love to hear from you.Pay: From KD450.000 per monthWork Location: In person

Prompt Enginner AI

Cooley LLP

<div>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.
Position summary: 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:
Position responsibilities:<ul><li>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</li><li>
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</li><li>
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</li><li>
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</li><li>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</li><li>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</li><li>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</li><li>
Coordinate training, support, documentation and resource material in support of processes and systems</li><li>
Engage with end-users to gather feedback, observe and map routines and processes</li><li>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</li><li>
All other duties as assigned or required</li></ul>
Skills and experience:
Required:<ul><li>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</li><li>
Ability to work extended and/or weekend hours, as required</li><li>
Ability to travel, as required</li><li>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</li><li>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</li><li>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</li><li>
Experience designing and implementing retrieval-grounded generation in permissioned environments</li><li>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</li></ul>
Preferred:<ul><li>
Bachelor&rsquo;s degree</li><li>
Working knowledge of business analysis, knowledge management, information systems or other-related field</li><li>
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</li><li>
Knowledge of legal concepts related to the business of the firm and the legal industry</li><li>
Familiarity with agile development methodologies</li><li>
Experience engaging with end-users to gather feedback, observe and map routines and processes</li><li>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</li><li>
Excellent attention to detail</li><li>
Excellent analytical skills</li><li>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</li><li>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</li><li>
Strong customer focus, with an emphasis on efficient and effective communications</li><li>
Solid relationship management, presentation and collaboration skills</li><li>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</li><li>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</li><li>
Entrepreneurial by nature</li><li>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</li><li>
Ability to drive projects to completion and achieve goals</li><li>
Team-player with collaborative spirit</li></ul>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.
EOE.
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.
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.</div>

Artificial Intelligence (“AI”) Solutions Engineer

Freedom Care

<div>Started in 2016, FreedomCare (FC) is a Healthcare company that is innovating and revolutionizing the way home care is delivered. We bring dignity and support to patients needing care in their homes and to the caregivers who care for them. We're the largest consumer-directed home care agency in NY State, and are continually expanding our areas of focus including operations in other states and tech-based innovations.
We pride ourselves on our values which drive the level of care that we deliver to our patients:
<ul>
<li>Here For You (An attitude of service, empathy, and availability)</li>
<li>Own It (Drive and ownership)</li>
<li>Do the Right Thing (High integrity)</li>
<li>Be Positive (Great attitude and a can-do positive approach to challenges)</li>
</ul>
Join our team and make a positive impact on the lives of others! We are looking for an Assistant Manager of Training Delivery &amp; Excellence for our People &amp; Culture team.

Must be willing to travel: This role is remote and requires occasional travel to any FreedomCare location nationally when necessary.
Department &amp; Position Overview:

As we scale, we're focused on improving how work gets done across operations and service delivery. AI will play a key role in reducing manual effort, improving decision making, and driving more consistent outcomes across these workflows. FreedomCare is a healthcare organization operating in a highly regulated environment, how we design and apply AI must also align with compliance, accuracy, and auditability requirements. We're looking for a highly technical individual contributor to own how AI is applied across the business.

The AI Prompt Engineer will focus on designing, building and optimizing prompts, agents and AI driven workflows implemented at the company. You will work across teams to integrate AI into real business processes to streamline processes, improve output quality, and reduce operational friction. This hands-on role is expected to both build and improve solutions.

Everyday You Will:

Apply AI to Core Business Workflows
<ul>
<li>Identify and implement AI solutions across key areas
</li><li>Improve how teams handle high volume, repetitive tasks by embedding AI into existing processes</li>
<li>Partner with business leaders to prioritize and solve operational bottlenecks
</li></ul>Prompt Engineering &amp; AI Optimization
<ul><li>Design, test and refine prompts to drive accurate, consistent, and high-quality outputs from AI systems
</li><li>Build and optimize AI agents and copilots used by internal teams
</li><li>Analyze output quality and continuously iterate to improve performance, reliability, and alignment with business needs</li>
</ul>
Build &amp; Integrate Solutions
<ul><li>Develop tools, automations and systems to support AI-driven workflows</li>
<li>Integrate AI into existing platforms and tools using APIs and scripting
</li><li>Connect data sources and systems to enable end-to-end automation
</li></ul>Drive Measurable Impact
<ul><li>Define and track metrics to evaluate AI output quality and workflow performance (i.e. turnaround time, accuracy, throughout and team efficiency)
</li><li>Analyze results to identify gaps and continuously improve prompts, agents and workflows</li>
<li>Quantify impact of AI solutions and communicate results to stakeholders</li>
<li>Ensure solutions are scalable, reliable, and aligned with compliance requirements</li>
</ul>
Enable Adoption Across Teams
<ul><li>Partner closely with cross-functional teams to effectively implement solutions
</li><li>Train teams on how to use AI tools and embed them into daily workflows
</li><li>Document best practices and standardize how AI is used across the business
</li></ul>What Success Looks Like
<ul><li>You've identified and implemented high impact AI use cases within core workflows, reducing manual effort or turnaround time</li>
<li>Teams are effectively using AI-enabled workflows you've built, with clear improvement in output quality and consistency
</li><li>You've established baseline metrics (i.e. accuracy, turnaround time, throughout) and can clearly demonstrate where
</li><li>AI is driving improvements AI outputs are not only faster, but reliable and consistent within a regulated environment, minimizing rework and downstream issues
</li><li>You've created a framework to approach identifying, testing, and scaling AI use cases across the business</li>
</ul>
Ideal Candidate will Possess
<ul>
<li>5+ years of experience in software engineering, automation or technical solution roles</li>
<li>Hands-on experience applying AI or LLMs to real world workflows (not just experimentation)
</li><li>Strong technical skills (Python, APIs, scripting, system integrations)
</li><li>Experience building internal tools, automations, or workflow solutions
</li><li>Ability to analyze outputs systematically improve performance</li>
<li>Experience working with high-volume operations</li>
</ul>
Nice to Have
<ul><li>Experience with automation platforms</li>
<li>Familiarity with AI agents, copilots, or workflow orchestration tools</li>
<li>Experience working in healthcare, service operations, or other regulated environments</li>
</ul>
Why work at FreedomCare?

We are here for you and committed to providing a best-in-class employee experience. We offer competitive compensation, medical benefits, retirement plans, wellness programs, fun company events and ongoing learning opportunities to grow your career.

This is a place where your voice matters, where we build great relationships, and your work has meaning and a tangible positive impact on others!

At FreedomCare, we celebrate diversity and are committed to creating an inclusive environment for all employees. We are an Equal Opportunity Employer and do not discriminate based upon race, religion, color, national origin, ancestry, age, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, status as a protected veteran, status as an individual with a disability, citizenship or immigration status, or other applicable legally protected characteristics.

#INDLV</div>

AI Prompt Engineer

Metropolitan Commercial Bank

<div>Come Work With Us:

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.

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.

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.

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. 


Position Summary:

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.

Standard 4-day in-office requirement, 1 day remote (of your choosing)

Essential Functions &amp; Responsibilities

Applied AI solution development &amp; analysis:
<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>
Agentic workflow design &amp; orchestration:
<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>
Microsoft Foundry, Copilot, and enterprise platform enablement:
<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>
Evaluation, testing, and monitoring:
<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>
AI governance, intake documentation, and cybersecurity/privacy controls:
<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>
Cross-functional partnership and continuous learning:
<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>
Innovation and best practices:
<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>
Qualifications &amp; Skills:
<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>
Preferred Qualifications &amp; Skills
<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> 


Potential Salary: $120,000 - $150,000 annually

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.

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.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div>

Applied AI Analyst

Robert Half

<div>
 
 
 Position Intel:
 
 This is part of a new team built out to oversee the internal LLM and AI platforms. This person will be part of a four person AI group however they will be working with many other technical teams and no technical stakeholders across the organization. This person will be responsible for building the agentic workflow systems. Someone who is more of a developer background such as Python/Node would be ideal. Also someone who is in a machine learning function but wants to get away from the training and more into business logic side would be a fit as well. This person will be writing code to do orchestration, integrate business logic, and more complex tasks than a typical model training/tuning. Looking for this person to be involved with applied data science, n8n, understanding agentic workflow patterns, MCP tools, integrations, RAG implementation, and Python. An example would be creating the chat bot to query data sources, this can be in low code/no code but must have worked with code. Because this is a new division for the organization someone proven in the AI world will be a valuable asset. There is already a roadmap in place however this person will also be looked at to make suggestions, improvements, and champion future initiatives. If someone would like to be a true lead/manager of others this position allows for individual contributor but also formal lead structure. This is all on a Nvidia backed infrastructure.
 
 
 
 
 
 
 Top Requirements:
 
 
 <ul>
 <li>
 Experience working on/in AI &amp; LLM platforms or services
 </li>
 <li>
 Developer or Machine Learning background
 </li>
 <li>
 Nvidia AI Enterprise Components- ideal not required.
 </li>
 </ul>
 
 
 
 
 &ldquo;Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.&rdquo;
 
 
 
</div>

Artificial Intelligence Engineer

Niural AI

<div>
 
 AI Product Operator Intern
 
 
 
 
 About Niural
 
 
 
 At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance.
 
 
 We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.
 
 
 
 The Role
 
 
 
 You are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them into working systems, fast. You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team.
 
 
 This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.
 
 
 
 What You Will Do
 
 
 
 
 Build Internal Tools
 
 
 
 <ul>
 <li>
 Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
 </li>
 <li>
 Use frameworks like React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use
 </li>
 <li>
 Own the full lifecycle: build, deploy, monitor, and iterate
 
 
 </li>
 </ul>
 
 Engineer AI Workflows &amp; Agents
 
 
 
 <ul>
 <li>
 Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
 </li>
 <li>
 Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&amp;A
 </li>
 <li>
 Implement robust prompt engineering, output validation, and error handling to ensure AI systems perform reliably at scale
 
 
 </li>
 </ul>
 
 Integrate Systems &amp; Automate Pipelines
 
 
 
 <ul>
 <li>
 Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
 </li>
 <li>
 Create data pipelines that automate reporting, reconciliation, and exception handling for the Accounting and Operations teams
 </li>
 <li>
 Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
 
 
 </li>
 </ul>
 
 Ship with AI-Native Development
 
 
 
 <ul>
 <li>
 Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity
 </li>
 <li>
 Vibe code: move fast, prototype rapidly, validate with real users, and iterate
 </li>
 <li>
 Maintain clean, well-documented codebases so that automations and tools can be extended over time
 
 
 </li>
 </ul>
 
 Support Sales &amp; Marketing Systems
 
 
 
 <ul>
 <li>
 Build lead enrichment, CRM hygiene, and outbound personalization workflows
 </li>
 <li>
 Create content generation and repurposing pipelines for the marketing team
 </li>
 <li>
 Develop internal tools that give the Sales team faster access to prospect and market data
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
 </li>
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 Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
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 Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
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 Experience building multi-step AI workflows or agent-based systems
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 Knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed
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 Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
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 Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
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 Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
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 Strong bias toward shipping. You prefer a working prototype today over a perfect plan next week
 
 
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 </ul>
 
 Nice-to-Have
 
 
 
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 Familiarity with automation platforms (n8n, Make, Retool) for rapid prototyping
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 Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations
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 Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
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 Understanding of global payroll compliance, tax regulations, or labor laws
 
 
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 </ul>
 
 How We Will Measure Success
 
 
 
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 30 days: Ship 2-3 working internal tools based on priorities set by the Product Manager; establish your local development and deployment workflow
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 60 days: Have 5+ tools or automations actively used by internal teams; demonstrate measurable reduction in manual hours for at least 2 departments
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 90 days: Own a portfolio of internal AI systems and tools that are reliable, documented, and integrated into daily operations across the company
 
 
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 </ul>
 
 Why Join Niural
 
 
 
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 You will build systems that directly impact how a global fintech platform operates and scales
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 You get to work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
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 You will ship constantly and see your work used by real people every day
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 You are joining a team that values speed, ownership, and ambition over process and perfection
 
 
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 </ul>
</div>

AI Product Operator - Intern

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