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
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