Lead Python AI Engineer

We are seeking a Lead AI Engineer to design and deliver production-grade AI agents and data-integrated tool APIs in a cloud-native Python environment. You will shape agent architecture, ensure reliable observability and schema-compliant access patterns, and collaborate with distributed stakeholders to ship high-quality outcomes.

Responsibilities Design production-grade AI agent architectures and tool interfaces aligned to platform standards

Build scoped AI agents with tool-calling, structured outputs, and robust prompt/tool orchestration

Implement read-only Model Context Protocol servers that securely expose enterprise datasets to agents

Develop FastAPI services and asynchronous task handlers to support low-risk actions and ticket generation

Write and optimize SQL for normalized cost datasets while respecting partitioning and clustering constraints

Implement health and readiness probes, structured JSON logging, and distributed tracing for observability

Establish unit and integration tests co-located with capability modules to protect critical flows

Coordinate peer code reviews and enforce monorepo structure and engineering excellence practices

Collaborate with product and architecture stakeholders to refine requirements and deliver measurable results

Requirements5+ years of production software development experience with Python2+ years of hands-on experience building LLM integrations or AI agents

Lead-level technical leadership experience guiding design and code quality

Strong project ownership skills for delivering production-grade services end to end Advanced Python 3.11+ skills with AsyncIO and clean architecture practices

Strong FastAPI skills for building backend microservices and tool APIsStrong SQL skills for authoring and optimizing analytical queries

Solid Docker skills for packaging and running services reliably

Hands-on Google Agent Development Kit experience for agent and tool development

Model Context Protocol experience implementing safe, read-only data access patterns

Upper-Intermediate English proficiency (B2) for cross-team collaboration

Nice to have Google Cloud Big Query experience optimizing large partitioned datasets

Google Vertex AI experience integrating hosted models and evaluation workflowsCI/CD experience building automated test and release pipelines

Terraform experience provisioning and managing cloud infrastructure as code

LangChain experience building agent workflows and tool integrations

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 Linked In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked

InEPAM 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.