Summary

What You'll Do 

• Design, architect, and deploy AI-powered systems that directly impact member experience and operational efficiency
• Build and optimize LLM-driven applications using advanced prompt engineering, RAG architectures, and agentic workflows
• Design scalable AI pipelines using modern orchestration frameworks (LangChain, LangSmith, LlamaIndex, etc.)
• Architect multi-agent systems capable of reasoning, planning, and executing complex multi-step tasks
• Implement evaluation and monitoring frameworks to measure AI performance, detect hallucinations, and ensure reliability at scale
• Own cloud-native AI infrastructure for performance, scalability, cost efficiency, and security
• Partner with Product and Engineering leadership to identify and execute high-impact AI initiatives
• Stay at the frontier of the AI ecosystem and translate emerging capabilities into production-ready systems
• Establish internal standards, tooling, and best practices for AI development across the organization

What You'll Bring 

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Administration, or a related field
• 5 years of professional software engineering experience, including meaningful ownership of production systems
• Significant hands-on experience building and deploying AI/ML systems in production
• Strong proficiency in Python and TypeScript (Next.js a plus)
• Deep experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and orchestration frameworks (LangChain, LangSmith, LlamaIndex)
• Strong understanding of advanced prompt engineering techniques and LLM optimization strategies
• Experience designing and deploying RAG systems, vector databases, and semantic search applications
• Cloud infrastructure expertise (AWS preferred): Lambda, Step Functions, API Gateway, DynamoDB, S3
• Strong understanding of LLM behavior: tokenization, embeddings, context limits, evaluation, and hallucination mitigation
• Demonstrated track record of shipping scalable, production-grade AI systems — not prototypes or demos

Nice to Have

• Experience with infrastructure as code (AWS CDK, SAM, Terraform)
• Experience in healthcare, insurance, or regulated environments
• Experience fine-tuning models or building custom model pipelines
• Familiarity with observability tools (DataDog, CloudWatch, LangSmith)
• Contributions to open-source AI projects or published technical work