Senior AI Agentic Developer

EPAM Systems; Colombia; On-site; COP 120,000,000 - 200,000,000; Full time

Benefits offered by this job

Healthcare benefits

Global career opportunities

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Volunteer and community involvement

Job summary

EPAM Systems is hiring a Senior AI Agentic Developer to lead cutting-edge GenAI initiatives for retail AI transformations. You’ll design AI-powered apps with Python/FastAPI backends and React frontends, leveraging Google Cloud Vertex AI.

You will own architecture, cost, and production readiness while collaborating with cross-functional teams to deliver high-quality AI solutions. Ideal candidates have hands-on GenAI experience, strong Python/React skills, and proficiency with LangFuse, LangSmith,

Qualifications

• 3+ years of experience in software development, with hands-on expertise in generative AI and agentic development, including AI coding assistants such as Claude Code, GitHub Copilot, Cursor, and Windsurf
• Expertise in generative AI application development, GenAI design patterns, and GenAI cloud platforms, including Google Cloud Vertex AI, Gemini, Anthropic Claude, and OpenAI
• Proficiency in LLM observability and tracing with Langfuse, LangSmith, or similar platforms
• Skills in prompt-engineering techniques, including chain-of-thought prompting, few-shot learning, and structured outputs
• Knowledge of LLM orchestration, RAG architectures, multi-agent systems, tool calling, and agent evaluation
• Proficiency in Python, FastAPI, asynchronous programming, Pydantic, and SQLAlchemy ORM
• Background in MySQL and PostgreSQL databases, query optimization, and Alembic migrations
• Familiarity with authentication and authorization patterns, including OAuth 2.0, Okta, JWT, and RBAC
• Competency in Docker, Docker Compose, Kubernetes, and container orchestration
• Skills in React, TypeScript, Zustand state management, and Material UI (MUI)
• Familiarity with data-visualization libraries, including Recharts and D3.js
• Knowledge of Google Cloud Platform, including Vertex AI, Cloud Run, BigQuery, Cloud Storage, and IAM, and experience with Git, CI/CD, GitHub Actions, and ArgoCD
• English proficiency at B2 level or higher

Responsibilities

• Design, develop, deploy, and maintain AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI, while adhering to development best practices and quality standards
• Take end-to-end ownership of assigned GenAI systems, including architectural decisions, feature delivery, operational readiness, production support, and cost optimization
• Adopt AI-augmented development workflows and demonstrate effective collaboration with AI coding assistants such as Claude Code and GitHub Copilot to accelerate delivery and improve code quality
• Partner with solution engineers, architects, and product teams to develop technical design specifications and validate alignment with architectural standards, non-functional requirements, and business needs
• Implement LLM orchestration patterns, including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured-output generation
• Build and maintain observability pipelines for AI platforms, including trace analysis, token-usage tracking, cost monitoring, and quality metrics
• Provide technical guidance and mentorship across the team, helping colleagues build skills in agentic development practices, prompt-engineering techniques, and AI-tool integration
• Perform cross-platform analysis and trade-off assessments across backend technologies, frontend technologies, and AI services to ensure architectural consistency and identify optimization opportunities
• Troubleshoot issues, analyze root causes, and code, test, and implement software enhancements across the full stack
• Ensure timely delivery of AI initiatives by proactively communicating risks, blockers, and schedule impacts, and drive resolution to maintain commitments
• Manage concurrent deliverables across services and platforms, respond to operational requests, and resolve production issues effectively
• Use observability and monitoring tools, including LangFuse, Grafana, Dynatrace, and Splunk, to review dashboards, investigate anomalies, monitor AI-model performance, and track cost metrics

Skills

Python

FastAPI

React

TypeScript

LangFuse

Prompt engineering

RAG

LLM orchestration

SQLAlchemy

PostgreSQL

MySQL

OAuth 2.0

Okta

JWT

RBAC

Docker

Kubernetes

Git

ArgoCD

D3.js

Vertex AI

Tools

Claude Code

GitHub Copilot

Cursor

Windsurf

Grafana

Dynatrace

Splunk

LangSmith

LangFuse

Kubernetes

ArgoCD

Job description

EPAM is a leading global 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 seeking a Senior AI Agentic Developer to spearhead our next-generation AI-powered development initiatives. You will develop cutting-edge solutions that redefine the retail experience and position the client as an industry leader in generative AI.

Responsibilities

• Design, develop, deploy, and maintain AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI, while adhering to development best practices and quality standards
• Take end-to-end ownership of assigned GenAI systems, including architectural decisions, feature delivery, operational readiness, production support, and cost optimization
• Adopt AI-augmented development workflows and demonstrate effective collaboration with AI coding assistants such as Claude Code and GitHub Copilot to accelerate delivery and improve code quality
• Partner with solution engineers, architects, and product teams to develop technical design specifications and validate alignment with architectural standards, non-functional requirements, and business needs
• Implement LLM orchestration patterns, including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured-output generation
• Build and maintain observability pipelines for AI platforms, including trace analysis, token-usage tracking, cost monitoring, and quality metrics
• Provide technical guidance and mentorship across the team, helping colleagues build skills in agentic development practices, prompt-engineering techniques, and AI-tool integration
• Perform cross-platform analysis and trade-off assessments across backend technologies, frontend technologies, and AI services to ensure architectural consistency and identify optimization opportunities
• Troubleshoot issues, analyze root causes, and code, test, and implement software enhancements across the full stack
• Ensure timely delivery of AI initiatives by proactively communicating risks, blockers, and schedule impacts, and drive resolution to maintain commitments
• Manage concurrent deliverables across services and platforms, respond to operational requests, and resolve production issues effectively
• Use observability and monitoring tools, including LangFuse, Grafana, Dynatrace, and Splunk, to review dashboards, investigate anomalies, monitor AI-model performance, and track cost metrics

Requirements

• 3+ years of experience in software development, with hands-on expertise in generative AI and agentic development, including AI coding assistants such as Claude Code, GitHub Copilot, Cursor, and Windsurf
• Expertise in generative AI application development, GenAI design patterns, and GenAI cloud platforms, including Google Cloud Vertex AI, Gemini, Anthropic Claude, and OpenAI
• Proficiency in LLM observability and tracing with Langfuse, LangSmith, or similar platforms
• Skills in prompt-engineering techniques, including chain-of-thought prompting, few-shot learning, and structured outputs
• Knowledge of LLM orchestration, RAG architectures, multi-agent systems, tool calling, and agent evaluation
• Proficiency in Python, FastAPI, asynchronous programming, Pydantic, and SQLAlchemy ORM
• Background in MySQL and PostgreSQL databases, query optimization, and Alembic migrations
• Familiarity with authentication and authorization patterns, including OAuth 2.0, Okta, JWT, and role-based access control (RBAC)
• Competency in Docker, Docker Compose, Kubernetes, and container orchestration
• Skills in React, TypeScript, Zustand state management, and Material UI (MUI)
• Familiarity with data-visualization libraries, including Recharts and D3.js
• Knowledge of Google Cloud Platform, including Vertex AI, Cloud Run, BigQuery, Cloud Storage, and IAM, and experience with Git, CI/CD, GitHub Actions, and ArgoCD
• English proficiency at B2 level or higher

We offer

• International projects with top brands
• Work with global 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.