Chief Python Developer

Description

Summary: Seeking a Chief Python Developer to set technical direction, lead hands-on delivery for backend AI services and LLM orchestration, and mentor engineers while ensuring operational excellence. Highlights: 1. Define technical direction and own architecture decisions for AI services 2. Lead hands-on delivery and write production Python for AI and LLM orchestration 3. Mentor engineers and collaborate with diverse technical teams We are building a **Chief Python Developer** role to set technical direction and lead hands\-on delivery for backend AI services and LLM orchestration. You will write production Python, mentor engineers, and collaborate with Security, Data, and Infrastructure while aligning with US\-based product and engineering partners. Help raise observability, reliability, and operational excellence across pod services—apply now. **Responsibilities** * Define technical direction for the pod and own architecture decisions within scope * Deliver 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 * Coach 3 Senior Engineers and 1 Data Engineer within the pod * Collaborate daily with Security, Data and Infrastructure teams * Coordinate with US\-based product and engineering counterparts * Run design reviews and remove blockers to protect sprint deliverables * Uphold observability, SLOs and reliability standards for pod services **Requirements** * Proven track record with 7\+ years of software engineering experience owning complex backend systems end\-to\-end * Hands\-on experience of 3\+ years with LLM\-era AI/ML platforms such as LangChain, LangGraph or Bedrock in production; deeper pre\-LLM ML backgrounds (TensorFlow, scikit\-learn) with a clear recent pivot to generative AI are also considered * Expert\-level proficiency in Python for backend services and AI integration as the primary language for backend and AI work * Deep expertise in LangChain, LangGraph and LangSmith to orchestrate multi\-step, multi\-agent workflows plus evaluation/observability * Solid background running production workloads with AWS, Docker and microservices * Practical skills with GitHub Actions, ArgoCD and OpenTofu/Terraform * Strong understanding of secure coding practices, auth/authz awareness and data governance as default standards * Advanced knowledge of API design including RESTful APIs and microservices * English proficiency at B2 (Upper\-Intermediate) level or higher **Nice to have** * Fluency in React and TypeScript with ability 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 designing and optimizing RAG pipelines with vector databases (Amazon Kendra, OpenSearch) * Understanding of identity/security domains (IAM, CIAM) and working with unstructured data (images, videos) using prompt context management via LangGraph State **We offer** * International projects with top brands * Work with global teams of highly skilled, diverse peers * Healthcare benefits * Employee financial programs * Paid time off and sick leave * Upskilling, reskilling and certification courses * Unlimited access to the LinkedIn Learning library and 22,000\+ courses * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn