We are seeking a Senior Backend Developer to join our AI Pods team, building robust AI-powered API services and agentic workflows. This role focuses on language model interaction with internal systems, vector databases, and external tools via orchestration frameworks, treating LLMs as components in a secure, scalable distributed system.

Responsibilities

- Design and build backend API services and LLM orchestration layers
- Own API contracts and service reliability end-to-end, ensuring AI edge cases fail gracefully
- Integrate LLMs using rigorous systems engineering, bake in evaluation, observability, fallback handling, and cost awareness
- Implement and maintain complex RAG pipelines, including document ingestion, chunking, embedding, and retrieval optimization
- Develop and connect agent tools using LangChain, LangGraph, and potentially MCP (Model Context Protocol)
- Build reliable, reusable orchestration frameworks and logic for downstream developer consumption
- Ensure security, privacy, enterprise-grade observability, and test coverage across all backend workflows
- Contribute to architecture decisions and engineering standards within the pod
- Collaborate with frontend engineers, data engineers, and infrastructure teams

Requirements

- 3+ years of backend engineering experience, focused on microservices and distributed systems
- Proficiency in Python for high-performance backend services and cloud-native APIs
- Familiarity with AWS, Docker, and ECS/EKS
- Knowledge of RESTful APIs
- Understanding of secure coding practices and strong auth/authz fundamentals




- English proficiency at B2 level or higher

Nice to have

- 1+ years of hands-on experience with AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent) in production
- Practical experience with vector databases (Amazon Kendra, OpenSearch), embedding strategies, and retrieval systems
- Hands-on experience with LangChain, LlamaIndex, or LangGraph
- Familiarity with AI evaluation tooling or real-time APM (LangSmith, Langfuse, Arize)
- Skills in React and TypeScript
- Experience deploying to EKS environments at scale
- Understanding of agent interoperability patterns (MCP)
- Knowledge of identity/security domain (IAM, CIAM)
- Flexibility to use secondary languages such as Java, Node.js, or Go

We offer

- International projects with top brands
- Work with general 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

📌 Senior Backend Developer, AI Pods (Colombia)
🏢 EPAM Systems
📍 Colombia