Lead GenAI Engineer

Senior Lead Generative AI Engineer

Location - Remote, USA

We are seeking a Senior Generative AI Engineer with a passion for building intelligent, agentic systems that transform how consumers interact with healthcare. This role is ideal for hands-on, driven individuals who want to be at the forefront of AI innovation—designing and deploying LLM-powered agents that provide dynamic, context-aware, and personalized chat experiences.

As a Senior Engineer, you will contribute to the development of agentic AI platforms that leverage Lang Graph, multi-agent orchestration, and LLM tool use to deliver scalable, secure, and human-centric solutions. You will work across architecture, product, and engineering teams to build the next generation of conversational AI that empowers our members throughout their health journeys.

• Proven experience designing and deploying agentic AI systems using LLMs, vector databases, and orchestration frameworks like Lang Graph or Lang Chain
• Deep understanding of LLM tool use, memory management, retrieval-augmented generation (RAG), and multi-agent collaboration
• Strong ability to work with cross-functional stakeholders to define and implement scalable, extensible AI architectures
• Experience building stateful, goal-driven agents that can reason, plan, and act autonomously in complex environments
• Passion for building human-centric AI that is ethical, explainable, and aligned with user needs and regulatory standards
• Excellent communication and evangelism skills to influence technical direction and promote best practices

• Architect and implement agentic AI chat systems that integrate LLMs with tools, APIs, and memory for dynamic task execution
• Design and develop Lang Graph-based workflows for orchestrating multi-step, multi-agent interactions
• Collaborate with Product Managers, Architects, and Engineering Leads to define AI capabilities and roadmap
• Build and maintain reference architectures, POCs, and technical documentation to guide engineering teams
• Ensure AI systems meet non-functional requirements such as performance, scalability, observability, and security
• Mentor engineers and foster a culture of innovation, experimentation, and continuous learning in GenAI
• Advocate for responsible AI practices, ensuring compliance with PII/PHI handling, ADA, and other regulatory standards
• Stay current with advancements in LLMs, agentic frameworks, and AI safety to inform strategic decisions

• 10+ years of software engineering experience, with 3+ years in AI/ML or LLM-based application development
• 2+ years of hands-on experience with LLM orchestration frameworks (e.g., Lang Graph, Lang Chain, Semantic Kernel)
• 2+ years of experience building agentic AI systems or autonomous agents using OpenAI, Anthropic, or open-source LLMs
• Strong proficiency in Python, FastAPI, vector databases (e.g., FAISS, Weaviate), and RAG pipelines
• Experience with cloud platforms (GCP preferred), microservices, and API-first development
• Familiarity with CI/CD, Dev Ops, and observability tools for AI systems

• Experience with Lang Graph or similar graph-based agent orchestration tools
• Knowledge of LLMOps, prompt engineering, and fine-tuning or RAG optimization
• Experience with chatbot frameworks, voice assistants, or multimodal agents
• Background in healthcare, HIPAA compliance, or regulated AI systems
• Strong understanding of AI safety, alignment, and ethical AI design