Lead Backend Developer, AI Pods

EPAM Systems, Inc.; Colombia; A distancia; COP 110.000.000 - 150.000.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a Lead Backend Developer to deliver secure, scalable AI-driven API services and orchestration layers. You will connect language models to internal systems, vector databases, and external tools, building robust backend frameworks for rapid product delivery.

You will own API contracts, ensure service reliability, security, and observability while collaborating with frontend, data, and infra teams to enable enterprise-grade AI workflows across global projects.

Formación

• 5+ years backend engineering experience focused on microservices and distributed systems
• Hands-on Python to build high-performance backend services and cloud-native APIs
• Strong RESTful API design and secure coding practices
• Proficient in AWS and containerization with Docker; ECS/EKS
• Experience with AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock) is a plus
• Hands-on exposure to vector databases and retrieval systems
• Familiarity with LangChain, LlamaIndex, LangGraph, and related tooling (LangSmith, Langfuse, Arize)
• English proficiency at B2 level or higher

Responsabilidades

• Design and build backend API services and LLM orchestration layers
• Own API contracts and service reliability end-to-end
• Integrate LLMs with disciplined systems engineering, observability and cost awareness
• Implement RAG pipelines: ingestion, chunking, embedding, retrieval
• Develop and connect agent tools using LangChain and LangGraph
• Build reusable orchestration frameworks for downstream developers
• Ensure security, privacy, observability, and test coverage across workflows
• Collaborate with frontend, data, and infra teams on architecture and standards

Conocimientos

Python

Microservices

Distributed systems

RESTful APIs

English (B2+)

React

TypeScript

Security best practices

Herramientas

AWS

Docker

ECS/EKS

LangChain

LangGraph

LangSmith

Langfuse

Arize

MCP

OpenSearch

Amazon Kendra

OpenAI API

Descripción del empleo

We are looking for a Lead Backend Developer to deliver secure, scalable AI-driven API services and agentic workflows for our AI Pods. You will connect language models to internal systems, vector databases, and external tools via orchestration frameworks, treating LLMs as distributed components.ResponsibilitiesDesign and build backend API services along with LLM orchestration layersOwn API contracts and service reliability end-to-end, ensuring AI edge cases fail gracefullyIntegrate LLMs with disciplined systems engineering, including evaluation, observability, fallback handling, and cost awarenessImplement and maintain advanced RAG pipelines, covering document ingestion, chunking, embedding, and retrieval optimizationDevelop and connect agent tools using LangChain, LangGraph, and potentially MCP (Model Context Protocol)Build dependable, reusable orchestration frameworks and logic for downstream developer consumptionEnsure security, privacy, enterprise-grade observability, and test coverage across all backend workflowsContribute to architecture decisions and engineering standards within the podCollaborate with frontend engineers, data engineers, and infrastructure teamsRequirementsProven backend engineering experience (5+ years) centered on microservices and distributed systemsHands-on proficiency in Python to build high-performance backend services and cloud-native APIsWorking knowledge of AWS plus containerization with Docker and orchestration via ECS/EKSStrong understanding of RESTful APIs and practical API design experienceSolid grasp of secure coding practices, including strong auth/authz fundamentalsEnglish proficiency at B2 (Upper-Intermediate) level or higherNice to have2+ years of hands-on experience with AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent) in productionPractical experience with vector databases (Amazon Kendra, OpenSearch), embedding strategies, and retrieval systemsHands-on experience with LangChain, LlamaIndex, or LangGraphFamiliarity with AI evaluation tooling or real-time APM (LangSmith, Langfuse, Arize)Skills in React and TypeScriptExperience deploying to EKS environments at scaleUnderstanding of agent interoperability patterns (MCP)Knowledge of identity/security domain (IAM, CIAM)Flexibility to use secondary languages such as Java, Node.js, or GoWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.