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

We offer

- International projects with top brands
- Work with general 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
- General career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Senior Full-Stack, Data and AI Agent Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina