Senior Full-Stack, Data and AI Agent Engineer

We are looking for a Senior Full-Stack, Data and AI Agent Engineer to join our team developing a production agentic AI platform for upstream oil & gas operations (ESP, gas lift, plunger lift, chemical injection). You will build and maintain the deep-agent core that turns petroleum engineers' natural-language questions into safe, schema-aware SQL and multi-step reasoning workflows.

Responsibilities

• Own the deepagents/LangGraph agent runtime, building and extending agent tools, subagents, and safety middleware
• Design FastAPI endpoints with async I/O (asyncpg/psycopg3) and SSE streaming for real-time agent responses
• Write SELECT-only, injection-safe SQL generation against per-tenant PostgreSQL schemas
• Integrate with AWS Bedrock (Claude via langchain-aws) and manage LLM factory/model routing
• Instrument agent runs with MLflow and contribute to the eval framework
• Work with pgvector, FAISS, and S3-backed document storage for RAG retrieval

Requirements

• 3+ years of backend engineering experience in Python, with strong async/await skills and FastAPI or a comparable framework
• Familiarity with AWS core services such as Bedrock, RDS, and S3, with a strict no-hardcoded-credentials approach
• Hands-on experience with LangGraph, LangChain, or a similar agent-orchestration framework
• Solid SQL/PostgreSQL experience, with comfort owning safety-critical code such as SQL injection prevention and tenant isolation
• Familiarity with LLM APIs (Bedrock, OpenAI, Anthropic) and prompt engineering
• Competency in CI/CD and test discipline, including lint/format gates, pytest/Jest, and GitHub Actions
• Security and tenant-isolation mindset, covering tenant isolation, SELECT-only SQL, and no cross-tenant leakage
• Observability/eval mindset using MLflow or equivalent, with quality, latency, and token measurement before shipping
• Flexibility to learn oil & gas / production-ops terminology (ESP, gas lift, decline curves) even without prior background
• English proficiency for client-facing communication; Spanish is a nice-to-have

Nice to have

• Awareness of TypeScript/React/Next.js, including understanding of SSE event formats, content types, and payload shapes for cross-stack debugging
• Familiarity with uv, Ruff, and pytest
• Knowledge of MLflow
• Familiarity with Redis/APScheduler
• Background in oil & gas domain knowledge

Benefits

• 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