Lead Python Developer
We are seeking a Lead Python Developer to drive technical direction and hands-on development within our pod, focusing on backend AI services, LLM orchestration and agentic experiences. You will write production code, mentor engineers, and collaborate cross-functionally with Security, Data and Infrastructure teams while partnering with US-based product and engineering counterparts. This role blends embedded leadership with deep technical ownership, ensuring observability, reliability and operational excellence across pod services.
Responsibilities
- Set technical direction for the pod and own architecture decisions within scope
- Write production code (~50%+ of the time) across backend AI services, LLM orchestration and frontend integration
- Design and build Agentic Experiences (AX) with streaming, low-latency agent UIs
- Mentor 3 Senior Engineers and 1 Data Engineer within the pod
- Partner with Security, Data and Infrastructure teams on daily collaboration
- Align with US-based product and engineering counterparts
- Conduct design reviews and unblock sprint deliverables
- Enforce observability, SLOs and reliability standards for pod services
Requirements
- 5+ years of software engineering experience with a track record of owning complex backend systems end-to-end
- 1–2+ years on LLM-era AI/ML platforms such as LangChain, LangGraph or Bedrock in a production context; candidates with deeper pre-LLM ML backgrounds (TensorFlow, scikit-learn) who have made a clear and recent pivot to generative AI will also be considered
- Expert-level proficiency in Python for backend services and AI integration as the primary language for all backend and AI work
- Hands-on expertise in LangChain, LangGraph and LangSmith for orchestrating multi-step, multi-agent workflows and evaluation/observability
- Proven background in AWS, Docker and microservices at production scale
- Skills in GitHub Actions, ArgoCD and OpenTofu/Terraform
- Competency in secure coding practices, auth/authz awareness and data governance as default standards
- Expertise in API design including RESTful APIs and microservices
- English proficiency at B2 level or higher
Nice to have
- Fluency in React and TypeScript with the capability to contribute to UI-layer code and review frontend work
- Familiarity with MCP (Model Context Protocol) and emerging agent interoperability standards
- Knowledge of AI evaluation tooling such as RAGAS or custom eval frameworks
- Background in designing and optimizing RAG pipelines with vector databases (Amazon Kendra, OpenSearch)
- Understanding of identity/security domains (IAM, CIAM) and handling unstructured data (images, videos) with prompt context management via LangGraph State
