Job Description

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Role : Senior Generative AI Engineer

What will you do? What are we looking for?

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 LangGraph , 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.

What We Expect of You:

• Proven experience designing and deploying agentic AI systems using LLMs, vector databases, and orchestration frameworks like LangGraph or LangChain
• 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

Responsibilities Include:

• Architect and implement agentic AI chat systems that integrate LLMs with tools, APIs, and memory for dynamic task execution
• Design and develop LangGraph-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

REQUIRED QUALIFICATIONS

• 8+ 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., LangGraph, LangChain, 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 , DevOps , and observability tools for AI systems

PREFERRED QUALIFICATIONS

• Experience with LangGraph 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
• Excellent communication and presentation skills

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