[Hiring] Senior Full-Stack, Data and AI Agent Engineer @EPAM

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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.