38173 | Lead AI, Software Engineer
About the position Responsibilities • Design, build, and deploy advanced AI agents using frameworks such as LangChain and LangGraph • Develop and refine prompt engineering and context management frameworks • Research and integrate emerging AI models, RAG techniques, and agentic frameworks • Architect and operate production-scale AI systems in cloud environments • Establish MLOps best practices for reliability, monitoring, and observability (including Langfuse) • Collaborate with product, data science, and engineering teams to deliver scalable solutions • Champion modern development practices using AI code-assist tools • Manage and mentor software, quality, and reliability engineers • Define and maintain engineering metrics including SLA, SLO, and SLI • Partner with product managers, architects, and SREs on strategy and roadmaps • Lead production troubleshooting and issue resolution • Participate in agile ceremonies such as Sprint Planning and Retrospectives • Maintain technical documentation, runbooks, and support guides • Deliver clear technical presentations to both technical and non-technical audiences Requirements • Bachelor's degree or equivalent experience • 7+ years of software engineering experience delivering scalable systems • Experience in AI or ML including model integration and MLOps • Hands-on experience with agentic frameworks such as LangChain or LangGraph • Strong experience with a major cloud platform and its AI/ML services • 3+ years working with Kubernetes workloads • Proficiency in Python, JavaScript/TypeScript, and/or Java • Familiarity with front-end frameworks such as Angular, React, or Vue • Experience with LLM observability tools (such as Langfuse) • Cloud-native skills including: Docker containerization, Kubernetes orchestration, Infrastructure as Code (Terraform or CloudFormation), CI/CD tools such as GitHub Actions, Argo CD, or Jenkins • Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, Firestore) Nice-to-haves • Expertise in Generative AI and models such as Gemini, ChatGPT, Claude, or Llama • Experience using AI-powered code assistants to accelerate development • Background deploying AI agents into production environments • Strong ability to solve complex and ambiguous technical challenges • Clear communication skills and experience mentoring engineers • Passion for applying advanced AI to real-world, large-scale problems Benefits • Healthcare Apply tot his job