Lead AI Developer

EPAM Systems; Argentina; On-site; ARS 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Training & certifications

Global career opportunities

Job summary

EPAM Systems is seeking a hands-on Lead AI Developer to act as the technical partner to the Lead AI Engineer. You will build production-grade C#/.NET tools, architect stateful multi-agent workflows, and deploy automated pipelines across Microsoft and GitHub ecosystems.

You’ll partner with engineering teams to mature agentic AI tooling and optimize SDLC efficiency. You will lead by example, pair program, and coach teams to adopt practical agentic AI transformations, with a focus on security,

Qualifications

• Hands-on experience with modern C#/.NET Core.
• Production-grade LLM applications and agent execution loops.
• Experience automating SDLC pipelines and CI/CD workflows.

Responsibilities

• Build stateful multi-agent workflows and tool call mechanisms.
• Create machine-readable formats from specs and schemas for autonomous coding.
• Develop extensions/plugins for GitHub Copilot, Actions, and Microsoft toolchains.
• Coach engineering teams through practical agentic AI adoption.
• Tune token usage and apply guardrails for safe, production-ready code.
• Collaborate with Lead AI Engineer to optimize prompts and agent loops.
• Identify workflow friction and relay insights to improve developer experience.

Skills

C#

.NET Core

LLM

Agented workflows

GitHub Copilot

GitHub Actions

CI/CD

Pair programming

Communication

Hybrid routing

Tools

Microsoft dev toolchains

Job description

We are looking for a highly hands‑on, execution-focused Lead AI Developer to serve as the ground‑level technical partner to our Lead AI Engineer. While the Lead AI Engineer establishes the architectural vision and transformation roadmap, you will be the core builder in the trenches—writing production‑grade C#/.NET code, engineering stateful agentic workflows, and implementing automated pipelines. Your primary mission is to revolutionize our Software Development Life Cycle (SDLC) and supercharge developer productivity by building, tuning, and deploying agentic AI tools that seamlessly integrate into the client's modern Microsoft and GitHub engineering ecosystem across multiple teams.

Responsibilities

• Construct, validate, and roll out stateful multi-agent workflows, tool/function-calling mechanisms, and structured LLM output parsers in C#/.NET, automating SDLC phases such as requirements translation, code generation, and test suite creation
• Convert specifications, JSON schemas, and structured technical documentation into machine-readable formats that power autonomous multi-agent code and test generation spanning multiple repositories
• Build custom extensions, plugins, and automation scripts that plug into GitHub Copilot, GitHub Actions, and Microsoft developer toolchains to simplify workflows and reduce mental overhead for developers
• Embed directly with engineering teams through pair programming, live troubleshooting, and hands‑on coaching to model effective daily adoption of agentic AI tooling
• Fine‑tune token optimization and FinOps practices, covering context-window management, prompt caching, and hybrid routing between Small Language Models and frontier models to reduce operational token spend
• Apply engineering guardrails, security checks, and code‑quality parsers established by the Lead AI Engineer to keep AI‑generated code safe, compliant, and production‑ready
• Collect day‑to‑day, tactical input from developers on workflow friction points and relay findings to the Lead AI Engineer to continually sharpen prompt sets, agent loops, and overall developer experience

Requirements

• A minimum of 5 years of relevant hands‑on experience
• At least one year of experience in leading and managing teams
• Deep, current coding proficiency in modern C# and .NET Core, including solid understanding of architecture, cloud‑native design patterns, and building resilient backend tooling
• Demonstrated hands‑on background building production‑grade LLM applications, stateful agent execution loops, and structured outputs such as JSON mode/function calling using GitHub Copilot
• Real‑world experience automating software engineering pipelines, custom extensions, and CI/CD workflows through GitHub Actions, GitHub Copilot, and modern developer tooling
• Working knowledge of spec‑driven development, including using structured schemas such as JSON Schema to guide automated code generation and multi‑agent workflows
• Sharp awareness of developer friction points throughout the SDLC, paired with genuine enthusiasm for building tools that boost developer flow, satisfaction, and speed
• Action‑driven, hands‑on working style, ready to partner closely with engineering teams to coach them through practical agentic AI transformations

Nice to have

• Advanced GitHub Copilot proficiency backed by GH‑600/300 certification

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