Job Description, Responsibilities & Requirements
About the Position
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
We Offer
- Remote work from Argentina or other locations
- Opportunity to work with cutting-edge AI technologies
- Collaborate with a global team of experts
About the Company
EPAM Systems is a leading global provider of digital platform engineering and software development services. We empower businesses to transform and thrive in the digital age by delivering innovative solutions that drive growth and success.