We are seeking a Senior AI Engineer to design and deliver production-grade AI agents, data integration pipelines, and tool APIs in a cloud-native Python environment. You will focus on agent-tool development, safe data access patterns, and observability while partnering with cross-functional stakeholders.
Responsibilities
-
Design production-grade AI agents and supporting tool APIs for analytical reasoning and automated recommendations
-
Build and maintain agent tools, system prompts, and structured JSON output parsing for reliable downstream use
-
Implement read-only MCP server capabilities that provide safe access to enterprise datasets
-
Develop asynchronous task handlers that trigger low-risk actions or generate tickets via an action gateway
-
Write and optimize SQL queries against normalized cost datasets while adhering to partitioning and clustering standards
-
Implement observability standards including health probes, structured JSON logging, and trace propagation
-
Collaborate through peer reviews and co-located unit and integration tests to keep quality high
Requirements
-
3+ years of production software development experience with Python
-
2+ years of experience building LLM integrations, AI agents, or data-intensive backend services
-
Senior-level autonomy and ownership across design, implementation, and delivery
-
Strong project execution skills in small, self-managed engineering teams
-
Expert Python skills with AsyncIO and modern backend patterns
-
Strong SQL skills for analytics and backend data integration
-
Proven REST API design skills including RFC 7807 error handling conventions
-
Hands-on Docker skills for building and running containerized services
-
Working knowledge of Model Context Protocol (MCP) and tool-calling integrations
-
Timezone flexibility skills to align working hours through 1 PM CT
-
Strong communication skills for collaborating with engineers and product partners
-
Upper-Intermediate English skills (B2, Upper-Intermediate)
Nice to have
-
Google Cloud BigQuery
-
Google Vertex AI
-
LangChain
-
LangGraph
-
Terraform
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.