ai engineer

pointer infotech L.L.C

<p><b>Overview</b></p><p>Join our innovative team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform data into actionable insights. In this dynamic role, you will design, implement, and optimize AI models and machine learning frameworks to solve complex problems across various domains. Your expertise will drive the deployment of scalable AI systems, leveraging big data technologies and cloud services to deliver impactful results. This position offers an exciting opportunity to work with advanced tools and methodologies in a collaborative environment dedicated to pushing the boundaries of AI innovation.</p><p><b>Responsibilities</b></p><ul><li><b>Job Summary:</b></li><li>We are looking for an experienced AI Engineer / Senior AI Architect with strong expertise in Agentic AI, Conversational AI, and AI solution development. The ideal candidate will have hands-on experience building AI solutions across Microsoft and Google ecosystems.Key Skills &amp; Responsibilities:Develop Agentic AI solutions, conversational agents, and virtual assistants.Hands-on experience with Microsoft Foundry and Azure AI services.Experience with Azure AI Search, Azure AI Language, Power Platform, and Copilot Studio.Develop AI conversational solutions using Google Dialogflow CX, Google Conversational Agents, and Google CCAI Services.Build and integrate APIs and web services with AI applications.Experience with NLP, Generative AI, LLMs, and AI/ML.Develop and maintain SharePoint Online solutions using Microsoft Power Platform.Train, deploy, monitor, and optimize AI models.Create Looker dashboards for monitoring AI agent performance.Strong programming skills in C#, .NET, JavaScript, or Python.Ensure AI solutions follow security, privacy, governance, and responsible AI practices.Collaborate with business SMEs and cross-functional technical teams.Lead AI Proof of Concept (POC) initiatives and present AI solutions to stakeholders.Required Experience:5+ years of IT experience.2+ years of AI Conversational Agent implementation experience.1+ year of Power Platform experience.Mandatory: Agentic AI development using Microsoft Foundry.Mandatory: SharePoint Online + Microsoft Power Platform.Mandatory: Google Conversational Agents / Dialogflow CX / Google CCAI Services.Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.*</li><li>No Visa sponsorship is available this time</li></ul><p>Pay: $65.00 - $70.00 per hour</p><p>Work Location: In person</p>

AI Engineer

Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Office<p></p><p><b>
Job Description</b></p><p></p><p>
At Thermo Fisher&rsquo;s PPD clinical research business, we&rsquo;re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.</p><p></p><p>
We know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively.</p><p><b><br>
Position Summary:</b></p><p></p><p>
We are seeking a highly motivated <b>AI Engineer</b> (known internally as a Scientist II, Data Sciences, band 5) to help design, build, deploy, and optimize AI solutions that advance CRG's digital strategy. In this role, you will design, implement, and optimize AI models that support data analysis, automation, and innovation. You'll collaborate with data scientists, software engineers, and domain experts to translate business needs into scalable, intelligent solutions.</p><p></p><p>
The ideal candidate will be proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI. Proven experience needed with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques.</p><p></p><p>
Strong knowledge in technical areas such as SQL, Python, Spark, Jupyter, and associated packages and libraries, specifically tailored to Generative AI.</p><p></p><p><b>
AI and Machine Learning Development</b></p><ul><li>
Design, develop, and deploy machine learning and generative AI models to support CRG Digital priorities including predictive analytics, text/NLP solutions, automation, and intelligent decision support.</li><li>
Apply statistics, programming, data modeling, simulation, and advanced mathematics to business problems.</li><li>
Evaluate and optimize model performance using appropriate validation metrics and techniques.</li><li>
Build reusable model pipelines, APIs, and components for scalable AI product deployment.</li></ul><p></p><p><b>
Data Engineering and Data Management</b></p><ul><li>
Preprocess, clean, transform, and integrate structured and unstructured datasets from clinical and operational sources.</li><li>
Build and maintain ETL/data workflows that support ML and generative AI workloads.</li><li>
Work with relational, document, columnar, graph, and object store systems; design schemas for AI and analytics use cases.</li><li>
Ensure data quality, reproducibility, lineage, and governance compliance.</li></ul><p></p><p><b>
Digital Product Integration and Lifecycle Management</b></p><ul><li>
Collaborate with software engineering and platform teams to integrate AI models into production systems with appropriate monitoring and observability.</li><li>
Support documentation, traceability, and regulatory readiness (e.g., auditability, GxP considerations).</li><li>
Contribute to CRG Digital's product development lifecycle including discovery, prototyping, testing, deployment, and iteration.</li></ul><p></p><p><b>
Innovation, Partnerships, and Enablement</b></p><ul><li>
Stay current on emerging AI and ML technologies, evaluating opportunities for CRG Digital roadmaps.</li><li>
Contribute to an innovative ecosystem involving external partners and technology collaborators.</li><li>
Support internal digital and AI upskilling through documentation, best practices, and knowledge sharing.</li></ul><p></p><p><b>
Tools, Technologies, and Platforms</b></p><p>
Programming: Python, SQL, Spark</p><p>
Libraries and Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, LangChain/LangGraph, OpenAI/other LLM SDKs</p><p>
Data Tools: Pandas, NumPy, Jupyter</p><p>
Cloud and Platforms: Databricks, AWS, Azure GCP; S3 or Azure Blob Storage</p><p>
Version Control: Git/GitHub</p><h2 class="jobSectionHeader"><b>
Education and Experience:</b></h2><ul><li>
Bachelor's degree or equivalent and relevant formal academic/vocational qualification. Master's degree preferred.</li><li>
Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years).</li><li>
In some cases, an equivalency, consisting of a combination of appropriate education, training, and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.</li></ul><p></p><p><b>
Knowledge, Skills, and Abilities:</b></p><ul><li>
Proficiency in modern SQL, Python, Spark, and associated AI/ML packages.</li><li>
Experience with generative AI, large language models, NLP, prompt engineering, and LLMOps best practices.</li><li>
Strong exploratory data analysis skills: ability to validate, visualize, and communicate model behavior.</li><li>
Experience with cloud architecture, distributed computing, and modern ML platforms.</li><li>
Familiarity with data governance, data security, and compliance requirements (preferably in a regulated or clinical environment).</li><li>
Ability to manage multiple priorities in a matrixed environment.</li><li>
Excellent analytical thinking, problem-solving, and communication skills.</li><li>
Ability to work independently with minimal supervision and collaborate effectively with cross-functional teams.</li></ul><p></p><p>
At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:</p><ul><li>
Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.</li><li>
Able to work upright and stationary for typical working hours.</li><li>
Ability to use and learn standard office equipment and technology with proficiency.</li><li>
Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.</li><li>
May require as-needed travel (0-20%).</li></ul><p><br>
Location: Remote US- east coast time zone. Relocation assistance is NOT provided.</p><ul><li>Must be legally authorized to work in the United States or Mexico without sponsorship.</li><li>Must be able to pass a comprehensive background check, which includes a drug screening.</li></ul><p><br>
The annual salary range estimated in the US for this position is $80,000- $100,000 USD. Salary range for Mexico will be supplied upon interview. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.</p></div><p></p>

Coforge

AI Engineer -Practitioners who build and deploy AI models and agentic workflows in production, including prompt engineering, fine-tuning, RAG pipelines, and AI-infused application development. These individuals design, develop, customize, and implement AI solutions for others to use. Technology - Java, Frontend and QE (Playwright).
<br>We are seeking an experiencedAI Engineer to design, develop, and deploy AI-powered applications and agentic workflows into production environments. The ideal candidate will have hands-on expertise in building AI solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and modern application development practices.
<br>This role requires a combination ofAI engineering, Java development, Frontend development, and Quality Engineering (Playwright) to deliver scalable, reliable, and enterprise-grade AI solutions.
<br><br>
Key Responsibilities
<br><br>
AI Solution Development
<br><br>
<ul>
<li>Design, develop, and deploy AI-powered applications using modern LLM technologies.</li>
<li>Build and implement agentic workflows leveraging AI agents, orchestration frameworks, and automation platforms.</li>
<li>Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.</li>
<li>Perform prompt engineering, prompt optimization, and model evaluation to improve AI solution accuracy and reliability.</li>
<li>Fine-tune foundation models where applicable to meet business-specific requirements.</li>
<li>Integrate AI capabilities into existing enterprise applications and platforms.</li>
<li>Monitor, optimize, and maintain AI systems in production environments.</li>
</ul>
Application Development
<br><br>
<ul>
<li>Develop backend services and APIs using Java-based frameworks.</li>
<li>Build responsive and scalable frontend applications to deliver AI-driven user experiences.</li>
<li>Collaborate with architects, product owners, and business stakeholders to translate requirements into technical solutions.</li>
<li>Implement integrations with internal and external systems through APIs and microservices.</li>
</ul>
Quality Engineering Testing
<br><br>
<ul>
<li>Develop automated test strategies for AI-enabled applications.</li>
<li>Design and execute UI and API automation using Playwright.</li>
<li>Validate AI outputs through functional, regression, and performance testing.</li>
<li>Establish test frameworks and quality gates for AI solutions deployed in production.</li>
<li>Ensure security, performance, and reliability standards are met.</li>
</ul>
Collaboration Innovation
<br><br>
<ul>
<li>Work closely with AI Architects, Data Scientists, Product Teams, and Business SMEs.</li>
<li>Stay current with emerging AI technologies, frameworks, and industry best practices.</li>
<li>Contribute to AI governance, responsible AI practices, and solution documentation.</li>
</ul>
Required Skills
<br><br>
AI GenAI
<br><br>
<ul>
<li>Prompt Engineering</li>
<li>Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)</li>
<li>Agentic AI Frameworks</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Vector Databases</li>
<li>Model Evaluation and Optimization</li>
<li>Fine-tuning Concepts</li>
<li>AI Application Development</li>
<li>AI Orchestration Frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, etc.)</li>
</ul>
Backend Development
<br><br>
<ul>
<li>Java 8+/11+/17+</li>
<li>Spring Boot</li>
<li>REST APIs Microservices Architecture</li>
<li>API Integration</li>
</ul>
Frontend Development
<br><br>
<ul>
<li>React.js / Angular / Modern JavaScript Frameworks</li>
<li>HTML5, CSS3, JavaScript, TypeScript</li>
</ul>
Quality Engineering
<br><br>
<ul>
<li>Playwright Automation</li>
<li>API Testing</li>
<li>Test Automation Framework Design</li>
<li>Functional Regression Testing</li>
<li>CI/CD Testing Practices</li>
</ul>
Cloud DevOps
<br><br>
<ul>
<li>Azure / AWS / GCP</li>
<li>Docker Kubernetes</li>
<li>CI/CD Pipelines</li>
<li>Git, GitHub, Azure DevOps</li>
</ul>


KeyBank

<div><p><b>Location:</b></p>
4910 Tiedeman Road, Brooklyn Ohio<p></p><p><b>
Department:</b> Contact Center Technology<br>
<b>Experience:</b> 4+ years</p><p></p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
KeyBank is seeking a <b>Lead AI Engineer</b> to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences.</p><p>
Unlike a traditional technical lead role, this position is deeply focused on <b>hands-on AI engineering and solution delivery</b>. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives.</p><p>
The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks.</li><li>
Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives.</li><li>
Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements.</li><li>
Own end-to-end delivery of complex AI features, from concept and design through deployment and production support.</li><li>
Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences.</li><li>
Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies.</li><li>
Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios.</li><li>
Provide technical mentorship and code review support while contributing directly to development efforts.</li><li>
Establish engineering best practices for AI solution development, testing, deployment, and observability.</li><li>
Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness.</li><li>
Ensure solutions comply with security and regulatory requirements (PII / PCI).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h3><ul><li>
4+ years of software engineering experience, including 2+ years as a <b>Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role</b>.</li><li>
Strong hands-on experience building and deploying AI-powered applications and services.</li><li>
Strong, hands-on experience with Node.js / TypeScript.</li><li>
Proven experience designing and delivering cloud-native solutions on GCP.</li><li>
Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks.</li><li>
Solid understanding of microservices architecture, APIs, and distributed systems.</li><li>
Hands-on Kubernetes experience, including GKE cluster setup and platform operations.</li><li>
Experience with IVR, voice bots, conversational AI, or contact center technologies.</li><li>
Strong collaboration skills across engineering, product, and operations teams.</li><li>
Excellent technical judgment, communication, and problem-solving skills.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).</li><li>
Experience developing AI agents, orchestration workflows, and multi-agent solutions.</li><li>
Knowledge of voice flows, call routing, containment, and agent escalation.</li><li>
Experience working in regulated or financial services environments.</li><li>
Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.</li><li>
Experience working in Agile delivery models at enterprise scale.</li><li>
Demonstrated experience with Agentic &quot;Vibe Coding&quot; &mdash; rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows.</li></ul><p></p><p><i>
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.</i></p><p></p><p>
COMPENSATION AND BENEFITS</p>
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.<p></p><p>
Please click here for a list of benefits for which this position is eligible.</p><p></p><p>
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.</p><p></p>
Job Posting Expiration Date: 09/11/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.<p></p><p>
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.</p><br>
<p></p>
#LI-Remote</div>

Lead AI Engineer

Dechert LLP

<p></p><div><div><div><div><div><div><div><div><div>Dechert, LLP is a global specialist law firm focused on high end legal work. The AI Engineer partners directly with attorneys, legal professionals, and business-services teams to identify, design, build, and deploy secure AI-enabled solutions that improve the delivery of legal services and firm operations. This role operates at the intersection of business discovery, rapid application development, artificial intelligence, automation, and enterprise technology.
</div><div></div><div>The role translates complex legal and operational needs into practical, scalable solutions&mdash;including generative AI applications, retrieval-augmented generation (RAG) solutions, workflow automations, intelligent agents, integrations, and custom web applications.
</div><div></div><div>The position is part of the IT Applications rapid-development function and is responsible for moving high-value opportunities from idea through proof of concept, pilot, production readiness, and transition to the appropriate enterprise applications, platform, or operations team for long-term support. The engineer works within the firm&rsquo;s security, privacy, data governance, architecture, and AI-risk-management standards.
 </div><div></div><div><b>ESSENTIAL JOB FUNCTIONS:</b>
</div><ul><li>Partner with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business-services teams to understand workflows, pain points, and desired outcomes.</li>
<li>Facilitate technical discovery sessions; assess business problems for AI, automation, workflow, integration, and custom application opportunities.</li>
<li>Rapidly design and develop proof-of-concept and pilot solutions using approved AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.</li>
<li>Build secure AI-enabled applications, including generative AI assistants, document and knowledge-search solutions, RAG applications, workflow copilots, intelligent agents, and decision-support tools.</li>
<li>Develop and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third-party services.</li>
<li>Design AI solutions that appropriately address data classification, confidentiality, ethical use, model limitations, human review, auditability, access controls, retention, and regulatory obligations.</li>
<li>Work with enterprise solutions architecture, information security, privacy, records management, risk management, and legal teams to ensure solutions meet global firm standards before production deployment.</li>
<li>Evaluate and select appropriate technical approaches based on business value, solution complexity, data sensitivity, scalability, supportability, and time-to-value.</li>
<li>Develop reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards that accelerate future AI and automation delivery.</li>
<li>Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI-enabled solutions.</li>
<li>Establish solution success measures, such as time saved, adoption, accuracy, user satisfaction, process-cycle reduction, risk reduction, and business impact.</li>
<li>Create technical documentation, architecture diagrams, support materials, operating procedures, and knowledge-transfer artifacts.</li>
<li>Transition mature solutions to the appropriate applications support and operations or enterprise application development, ensuring clear ownership, support readiness, and lifecycle plans.</li>
<li>Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.</li>
<li>Stay current on AI engineering practices, legal-industry AI use cases, emerging tools, AI governance requirements, and applicable technology trends.</li>
<li>Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.</li>
<li>Partner with Legal, Risk, Security, and Compliance Teams to ensure AI initiatives meet applicable legal and regulatory obligations.</li>
<li>Ensure AI systems handling client or confidential information meet applicable privacy, security, and data handling requirements across all operating jurisdictions.</li><br>
</ul><div></div><br>
<div><b>KNOWLEDGE:</b>
 </div><ul><li>Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, model evaluation, and responsible AI practices.</li>
 <li>Application development concepts, including APIs, microservices, web applications, databases, authentication, authorization, logging, monitoring, testing, and CI/CD practices.</li>
 <li>Cloud and enterprise technology environments, including secure API integration, DevOps, identity and access management, data governance, and application lifecycle management.</li>
 <li>Automation and orchestration technologies, such as workflow platforms, robotic process automation, low-code/no-code development tools, and integration platforms.</li>
 <li>Data privacy, confidentiality, information security, records retention, and risk considerations applicable to professional-services or legal environments.</li>
 <li>Software development methodologies, including Agile, Kanban, rapid prototyping, product discovery, and iterative delivery.</li>
 <li>Legal-industry workflows and systems is preferred, including document management, knowledge management, time and billing, matter management, legal research, e-discovery, client intake, and financial systems.</li>
</ul><div><b>SKILLS:</b>
</div><ul><li>Strong software engineering skills in one or more modern programming languages, such as Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL, or similar technologies.</li>
<li>Ability to build and deploy AI-enabled applications using APIs, SDKs, orchestration frameworks, cloud services, and enterprise platforms.</li>
<li>Ability to translate ambiguous business needs into clearly defined user stories, technical requirements, solution designs, and delivery plans.</li>
<li>Strong consultative and communication skills, with the ability to work effectively with attorneys, senior business leaders, technical teams, vendors, and nontechnical users.</li>
<li>Ability to explain AI capabilities, limitations, risks, and recommended controls in clear, practical language.</li>
<li>Strong analytical, problem-solving, and systems-thinking abilities.</li>
<li>Ability to balance speed and experimentation with security, quality, governance, maintainability, and long-term supportability.</li>
<li>Experience designing user-centered solutions and incorporating feedback into rapid iterations.</li>
<li>Strong organization and prioritization skills in a fast-moving environment with multiple concurrent initiatives.</li>
<li>Knowledge of responsible AI frameworks such as React and emerging international AI regulations.</li>
</ul><div><b>INTERESTS:</b>
</div><ul><li>Genuine curiosity about applying AI to meaningful legal, client-service, and business-operations challenges.</li>
<li>Interest in working directly with end users and seeing solutions through from discovery to measurable adoption.</li>
<li>Interest in responsible AI, data protection, human-centered design, and practical technology governance.</li>
<li>Enthusiasm for experimentation, continuous learning, emerging technologies, and building reusable enterprise capabilities.</li>
<li>Interest in improving how attorneys and professional-services teams access knowledge, complete work, collaborate, and serve clients.</li>
 </ul><div></div><div><b>EDUCATION AND EXPERIENCE:</b>
</div><div></div><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline required; equivalent combination of education, training, and relevant experience may be considered.</li>
<li>Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles.</li>
<li>Minimum of 2 years of experience designing, developing, or deploying AI-enabled, machine-learning, generative AI, automation, or intelligent workflow solutions preferred.</li>
<li>Experience building applications using large language model APIs, RAG architectures, AI orchestration frameworks, Model Context Protocol (MCP), Azure/OpenAI, vector search technologies, or agentic workflow patterns strongly preferred.</li>
<li>Experience with cloud platforms such as Microsoft Azure or Amazon Web Services⁠.</li>
<li>Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management required.</li>
<li>Experience in a law firm, legal technology provider, consulting firm, financial-services organization, or other regulated professional-services environment strongly preferred.</li>
<li>Experience working with cross-functional stakeholders and delivering technology solutions from discovery through production deployment required.</li>
<li>Relevant certifications in cloud engineering, AI, software development, security, automation, Agile delivery, or legal technology are preferred but not required.</li></ul></div></div></div></div></div></div></div></div><div></div>

Egen Solutions Inc

<div><div><div><b>About Egen:</b></div>
<div></div>
<div>Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.</div>
<div></div>
<div><i>Want to learn more about life at Egen? Check out these resources in addition to the job description.</i></div>
<div></div>
<div>Meet Egen</div>
<div>Life at Egen</div>
<div>Culture and Values at Egen</div>
<div>Career Development at Egen</div>
<div>Benefits at Egen</div>
<div></div>
<div><b>About the opportunity:
</b></div><div><p>As a Lead AI Engineer, you will be at the forefront of our Generative AI initiatives. We treat AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features&mdash;specifically document intelligence and RAG pipelines&mdash;taking them from initial prototype to robust, scalable production services. You will solve for real-world constraints like latency, error handling, and cost optimization.</p>
<p>
You&rsquo;ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>What You Will Do:</b></h3><div><div><ul>
<li>Architect &amp; Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud</li>
<li>
<p>Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone</p>
</li>
<li><p>Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance</p>
</li>
<li><p>Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks</p>
</li>
<li><p>Collaborate &amp; Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques</p>
</li>
<li><p>Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved</p>
</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Your Technical Toolkit:</b></h3><div><div><ul>
<li><b>Core Languages</b>: Mastery of Python and shell scripting</li>
<li>
<p><b>AI/LLM Ecosystem</b>: Extensive experience with Google Gemini, GPT-4, or LLaMA; deep knowledge of Prompt Engineering and Fine-tuning</p>
</li>
<li><p><b>Data &amp; Search</b>: Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and implementing Semantic Search</p>
</li>
<li><p><b>Infrastructure</b>: Hands-on experience with Google Cloud (Vertex AI) and building scalable software architectures</p>
</li>
<li><p><b>Frameworks</b>: Proficiency in LangChain, LlamaIndex, or similar orchestration layers</p>
</li>
<li><p><b>Mindset:</b> A strong software engineering foundation&mdash;you write clean, maintainable code and understand the full SDLC</p>
</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Basic Qualifications:</b></h3><div><div><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field</li>
<li>
<p>8+ years of experience in AI/ML</p>
</li>
<li><p>Proven track record of deploying GenAI products to a production environment</p>
</li>
<li><p>Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus</p>
</li>
<li><p>Knowledge of Data Engineering and SQL</p>
</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Personal Attributes:</b></h3><div><div><ul>
<li>Ownership: You take pride in your code and see projects through from concept to deployment</li>
<li>
<p>Curiosity: The AI landscape changes weekly; you are a lifelong learner who stays ahead of the curve</p>
<p>
Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value</p>
<p>
Ethics: You prioritize responsible AI development and data privacy</p><br>
<p></p>
</li>
</ul></div></div></div></div><div><div>$159,300 - $230,000 a year</div><p>
This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.<br>
<br>
Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.</p></div>
<div><div><b>
Compensation &amp; Benefits:</b></div>
<div></div>
<div>This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:</div>
<ul><li>Comprehensive Health Insurance</li></ul>
<ul><li>Paid Leave (Vacation/PTO)</li></ul>
<ul><li>Paid Holidays</li></ul>
<ul><li>Sick Leave</li></ul>
<ul><li>Parental Leave</li></ul>
<ul><li>Bereavement Leave</li></ul>
<ul><li>401 (k) Employer Match</li></ul>
<ul><li>Employee Referral Bonuses</li></ul>
<div></div>
<div>Check out our complete list of benefits here - &gt;https://egen.ai/people/#benefits</div>
<div></div>
<div><b>Important:</b><b> </b>All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.</div>
<div></div>
<div><b>EEO and Accommodations:
</b></div>
<div></div><div>Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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></div></div>

BV Teck

<div><p><b>Bright Vision Technologies</b> is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.</p><p><b>
Job Title:</b> Applied AI Engineer<br>
<b>Location:</b> 100% Remote (Continental United States)<br>
<b>Position Type:</b> Full-time, Direct W2<br>
<b>Salary Range:</b> $100,000&ndash;$150,000 Annually<br>
<b>Experience Required:</b> 6+ Years<br>
<br>
<b>Sponsorship:</b> U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.</p><h3 class="jobSectionHeader"><b>
Job Summary:</b></h3><p>
We are seeking an <b>Applied AI Engineer</b> to design, develop, and deploy production-ready AI and machine learning solutions. The ideal candidate will have expertise in <b>Python, PyTorch or JAX, deep learning, LLMs, computer vision, NLP, and ML pipelines</b>, with experience taking AI models from research to production while optimizing performance, scalability, and reliability.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul><li>
Design, build, and deploy AI/ML solutions for real-world business problems.</li><li>
Develop and optimize training and inference pipelines.</li><li>
Train, fine-tune, and evaluate deep learning and LLM models.</li><li>
Collaborate with cross-functional teams to deliver scalable AI applications.</li><li>
Monitor model performance, data quality, and production reliability.</li><li>
Document solutions and contribute to AI best practices.</li></ul><h3 class="jobSectionHeader"><b>
Required Qualifications:</b></h3><ul><li>
6+ years of experience in applied AI, machine learning, or deep learning.</li><li>
Strong proficiency in <b>Python</b> and <b>PyTorch or JAX</b>.</li><li>
Experience with LLMs, NLP, computer vision, distributed training, and ML deployment.</li><li>
Strong understanding of machine learning, statistics, and model evaluation.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h3><ul><li>
Experience with LLM fine-tuning, RAG, agentic AI, or multimodal AI.</li><li>
Publications, open-source ML contributions, or experience with Responsible AI.</li></ul><p><b>
Interested in this opportunity? Apply today for immediate consideration!</b></p><p>
Email your updated resume: jaya@bvteck.com<br>
Call or Text: (908) 505-3545<br>
Learn more: www.bvteck.com</p><p><b>
Bright Vision Technologies is an Equal Opportunity Employer.</b></p><p>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>hRyF7l0Fgk</p></div>

Applied AI Engineer

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