Senior Gen AI Engineer

Role: Senior Gen AI Engineer Location: Hybrid (almost remote) Type: Contract Job Description: Job Purpose The Senior GenAI Engineer is responsible for designing, developing, and deploying advanced Generative AI products and capabilities, including fine-tuning V/LLM models and implementing cutting-edge RAG and Graph-RAG solutions. This hands-on role requires deep technical expertise and plays a key part within the GenAI team to build, optimize, and scale GenAI agents for the global supply chain. Why This Role Is Critical This position ensures the effective and responsible adoption of Generative AI across a complex, global supply chain. By architecting robust solutions, enhancing model performance, and enforcing strong AI governance, the Senior GenAI Engineer delivers reliable, secure, and scalable AI applications—directly improving operational efficiency and enabling data-driven strategic decision-making. Key Responsibilities 1. Technical Ownership & Delivery of GenAI Capabilities Rapidly prototype GenAI scenarios and user experiences for testing and validation. Implement state-of-the-art Generative AI, agent frameworks, and industry best practices. Design, develop, and validate GenAI applications aligned with business objectives. Build automated pipelines and workflows following LLMOps standards. Deliver scalable, secure, and cost-efficient GenAI solutions that support current and future needs. Prototype, benchmark, and optimize across the AI/ML tech stack, including LLMOps and AgentOps frameworks. Identify and resolve issues in AI applications, collaborating with infrastructure and application teams. Drive innovation, promoting an experimental and collaborative engineering culture. 1. Cross-Functional Collaboration Identify opportunities to integrate new advancements in LLMs, GenAI agents, and related technologies. Work with cross-functional teams to iteratively deliver features and enhancements. Educate IT and business stakeholders on GenAI concepts, capabilities, risks, and value. 1. Security, Governance & Compliance Ensure all AI solutions comply with enterprise security policies and AI governance frameworks. Incorporate best practices for responsible AI, data protection, and ethical system design. 1. Technical Expertise & Support Provide deep subject-matter expertise across Generative AI technologies, frameworks, and architectures. Serve as a technical escalation point for complex issues, offering hands-on engineering and troubleshooting support. Desired QualificationsEducation & Experience Advanced degree (PhD preferred) in Engineering, Computer Science, Data Science, Applied Mathematics, Physics, Bioinformatics, or related field. 5+ years of experience in at least two AI domains (NLP, NLG, Machine Learning, Computer Vision, GenAI, etc.). Proven hands-on experience fine-tuning or training LLMs and deploying complex RAG/Graph-RAG solutions in production environments. Technical Skills Deep expertise with cloud platforms (Azure preferred; Databricks strongly valued), including: Azure Machine Learning, Azure AI Search, Azure OpenAI, Vertex AI, Databricks, MosaicML, Genie, Azure Web Apps, Azure Service Bus, Azure DevOps, Azure CLI, App Insights. Strong knowledge of LLM and agent frameworks/libraries: LangChain, LangGraph, PromptFlow, Semantic Kernel, AutoGen, GraphRAG, PromptFlow. Solid software engineering background, including API development, frontend integration, and secure coding practices. Experience with FastAPI, Asyncio, and modern Python frameworks is a plus. Experience with GenAI deployment and monitoring tools (e.g., CI/CD pipelines, Weights & Biases, GitHub Actions). Strong understanding of AI security, compliance, and ethical considerations. Soft Skills Strong analytical, problem-solving, and critical-thinking skills with the ability to iterate quickly during the discovery phase. Excellent communication and collaboration abilities, capable of translating complex technical topics into clear insights. Business-focused mindset with the ability to propose practical, value-driven solutions. Job Type: Contract Pay: $80.00 - $90.00 per day Application Question(s): USA Citizen only Experience: Generative AI technologies : 3 years (Required) AI domains: 5 years (Required) LLMs : 3 years (Required) Graph RAG solutions: 3 years (Required) cloud services and tools (Azure): 2 years (Required) Azure Machine Learning: 2 years (Required) LLM Python libraries: 3 years (Required) Gen AI model deployment : 2 years (Required) Total: 6 years (Required) Work Location: Remote