EPAM is a leading general provider of digital platform engineering and development services.
We are committed to having a positive impact on our customers, our employees, and our communities.
We embrace a dynamic and inclusive culture.
Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.
No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are hiring a Senior Python Engineer to help drive the evolution of an enterprise knowledge base platform.
This platform is transitioning from a Confluence-focused RAG chatbot to a comprehensive agentic knowledge system.
You will play a key role in expanding the platform's capabilities, including hybrid retrieval, multi-source ingestion, evaluation pipelines, agent infrastructure, and shared chat platform primitives.
Responsibilities Architect and develop backend services using Python 3.11, Fast API, Pydantic, SQLAlchemy async, and asyncpg Design retrieval and orchestration strategies that balance quality, latency, cost, safety, and operational simplicity Build robust agent runtime features such as memory boundaries, tool sandboxing, permissions, and budget controls Enhance answer grounding, failure analysis, and citation enforcement to improve reliability and accuracy Establish observability and operational feedback loops with Open Telemetry, Prometheus, Grafana, Docker, Helm, and Git Hub Actions Collaborate with product and engineering teams to support multiple conversational interfaces through a unified knowledge platform Develop ingestion infrastructure for current and future content sources Implement observability across application, pipeline, database,



and model-serving layers Manage cost, latency, throughput, and failure modes for AI-intensive workloads Create release workflows that validate AI behavior changes beyond code compilation Requirements Minimum 3 years of relevant professional experience in software engineering Extensive hands‐on experience with Python in platform, automation, or infrastructure‐focused environments Experience building command‐line tools using Python, Golang, or Rust Practical knowledge of Lang Graph, Lang Chain, pgvector, and modern retrieval pipelines Experience designing evaluation frameworks for LLM‐powered systems, including regression detection and quality assessment Strong background with Docker, Helm, Git Hub Actions, and Kubernetes‐based workflows Understanding of embedding pipelines, vector search, and operational aspects of LLM‐driven systems Advanced observability skills, including metrics, tracing, dashboards, alerting, and log analysis Experience with ingestion, ETL, or large‐scale content‐processing pipelines Ability to approach system design with considerations for reliability, cost, latency, throughput, and recovery Excellent oral and written communication skills in English at B2+ level or higher Nice to have Experience with Fast API for building web APIs Familiarity with Grafana and Splunk for monitoring and log analysis Knowledge of Qdrant, Neo4j, or other vector and graph database infrastructure We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the Linked In 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 Linked In #J-*****-Ljbffr

📌 Senior Python Engineer (México)
🏢 Epam Systems
📍 México