Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qataq

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.

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 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 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

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qataq

📌 Chief Python Developer (Argentina)
🏢 EPAM Systems
📍 Argentina