We are looking for a Lead Full-Stack, Data and AI Agent Engineer to build a production-grade agentic AI platform for upstream oil & gas operations (ESP, gas lift, plunger lift, chemical injection). As a Lead Full-Stack, Data and AI Agent Engineer, you will evolve the deep-agent core that converts petroleum engineers’ natural-language questions into safe, schema-aware SQL and multi-step reasoning workflows, and help the team ship reliably.
Responsibilities
- Lead ownership of the deepagents/LangGraph agent runtime, extending agent tools, subagents, and safety middleware
- Design FastAPI endpoints using async I/O (asyncpg/psycopg3) and SSE streaming to deliver real-time agent responses
- Implement SELECT-only, injection-safe SQL generation across per-tenant PostgreSQL schemas
- Integrate AWS Bedrock (Claude via langchain-aws) and manage LLM factory/model routing decisions
- Instrument agent runs with MLflow and contribute improvements to the eval framework
- Collaborate on RAG retrieval using pgvector, FAISS, and S3-backed document storage

Requirements




- Proven track record with 5+ years of backend engineering in Python, including strong async/await skills and FastAPI or a comparable framework
- Hands-on experience with AWS core services such as Bedrock, RDS, and S3, following a strict no-hardcoded-credentials approach
- Practical experience using LangGraph, LangChain, or a similar agent-orchestration framework
- Solid SQL/PostgreSQL experience, with confidence owning safety-critical code such as SQL injection prevention and tenant isolation
- Deep understanding of LLM APIs (Bedrock, OpenAI, Anthropic) and prompt engineering techniques
- Strong CI/CD and testing discipline, including lint/format gates, pytest/Jest, and GitHub Actions
- Security-first mindset for tenant isolation, including tenant isolation, SELECT-only SQL, and no cross-tenant leakage
- Observability and eval mindset using MLflow or equivalent, measuring quality, latency, and tokens before shipping
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📌 Lead Full-Stack, Data and AI Agent Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina