Chief Python Developer
We are seeking a Chief Python Developer to set technical strategy while staying hands-on across backend AI services, LLM orchestration, and agentic experiences. You will deliver production-grade code, mentor engineers, and partner with Security, Data, and Infrastructure while coordinating with US-based product and engineering peers. Help us raise the bar on observability, reliability, and operational excellence—apply now
Responsibilities
- Set technical direction for the pod and own architecture decisions within scope
- Deliver production-ready code for roughly 50%+ of your time across backend AI services, LLM orchestration, and frontend integration
- Design and build Agentic Experiences (AX) with streaming and low-latency agent UIs
- Mentor 3 Senior Engineers and 1 Data Engineer within the pod
- Collaborate daily with Security, Data, and Infrastructure teams
- Coordinate closely with US-based product and engineering colleagues
- Lead design reviews and clear blockers impacting sprint deliverables
- Maintain observability, SLOs, and reliability standards for pod services
Requirements
- Proven track record with 5+ years in software engineering, owning complex backend systems end to end
- Hands-on experience of 1–2+ years running LLM-era AI/ML platforms such as LangChain, LangGraph, or Bedrock in production; candidates with strong pre-LLM ML experience (TensorFlow, scikit-learn) who have clearly shifted to generative AI are also considered
- Expert-level Python skills for backend services and AI integration as the primary language for backend and AI work
- Practical expertise using LangChain, LangGraph, and LangSmith to orchestrate multi-step, multi-agent workflows with evaluation/observability
- Demonstrated experience delivering at production scale with AWS, Docker, and microservices
- Proficiency with GitHub Actions, ArgoCD, and OpenTofu/Terraform
- Baseline capability in secure coding practices, auth/authz awareness, and data governance
- Strong skills in API design for RESTful APIs and microservices
- English proficiency at B2 (Upper-Intermediate) level or above
Nice to have
- Strong React and TypeScript skills to contribute to UI-layer code and review frontend changes
- Awareness of MCP (Model Context Protocol) and new standards for agent interoperability
- Familiarity with AI evaluation tools such as RAGAS or custom eval frameworks
- Experience designing and tuning RAG pipelines using vector databases like Amazon Kendra and OpenSearch
- Knowledge of IAM and CIAM plus experience managing unstructured data (images, videos) with prompt context handled via LangGraph State
