Senior Full-Stack, Data and AI Agent Engineer

EPAM Systems, Inc.; Brasil; Teletrabalho; BRL 90 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Healthcare benefits

Paid time off

Upskilling and certification

Resumo da oferta

EPAM Systems, Inc. seeks a Senior Full-Stack, Data and AI Agent Engineer to build a production agentic AI platform for upstream oil & gas operations.

You will turn engineers' natural-language questions into safe, schema-aware SQL and multi-step workflows, and design FastAPI endpoints with real-time SSE streaming. Responsibilities include owning the LangGraph agent runtime, integrating with AWS Bedrock, LangChain, MLflow, and RAG storage solutions.

Qualificações

• 3+ years backend Python development with async features.
• Strong knowledge of PostgreSQL and safety critical SQL.
• Experience with LangGraph/LangChain or similar orchestration.
• Familiarity with LLM APIs and prompt engineering.
• CI/CD and test discipline with GitHub Actions.

Responsabilidades

• Own the deepagents/LangGraph agent runtime and tooling.
• Design FastAPI endpoints and real-time SSE streaming.
• Write safe, per-tenant SQL generation and isolation.
• Integrate with AWS Bedrock and manage model routing.
• Instrument runs with MLflow and contribute to eval framework.
• Work with vector stores (pgvector/FAISS) and S3 for RAG.

Conhecimentos

Python (async/await)

FastAPI

SQL/PostgreSQL

LLM APIs

LangGraph/LangChain

CI/CD

AWS Bedrock

MLflow

Security/tenant isolation

Observability/Eval

Ferramentas

PostgreSQL

MLflow

SSE streaming

Redis

LangGraph/LangChain

AWS Bedrock

pgvector/FAISS

S3 storage

Descrição da oferta de emprego

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.ResponsibilitiesOwn the deepagents/LangGraph agent runtime, building and extending agent tools, subagents, and safety middlewareDesign FastAPI endpoints with async I/O (asyncpg/psycopg3) and SSE streaming for real-time agent responsesWrite SELECT-only, injection-safe SQL generation against per-tenant PostgreSQL schemasIntegrate with AWS Bedrock (Claude via langchain-aws) and manage LLM factory/model routingInstrument agent runs with MLflow and contribute to the eval frameworkWork with pgvector, FAISS, and S3-backed document storage for RAG retrievalRequirements3+ years of backend engineering experience in Python, with strong async/await skills and FastAPI or a comparable frameworkFamiliarity with AWS core services such as Bedrock, RDS, and S3, with a strict no-hardcoded-credentials approachHands-on experience with LangGraph, LangChain, or a similar agent-orchestration frameworkSolid SQL/PostgreSQL experience, with comfort owning safety-critical code such as SQL injection prevention and tenant isolationFamiliarity with LLM APIs (Bedrock, OpenAI, Anthropic) and prompt engineeringCompetency in CI/CD and test discipline, including lint/format gates, pytest/Jest, and GitHub ActionsSecurity and tenant-isolation mindset, covering tenant isolation, SELECT-only SQL, and no cross-tenant leakageObservability/eval mindset using MLflow or equivalent, with quality, latency, and token measurement before shippingFlexibility to learn oil & gas / production-ops terminology (ESP, gas lift, decline curves) even without prior backgroundEnglish proficiency for client-facing communication; Spanish is a nice-to-haveNice to haveAwareness of TypeScript/React/Next.js, including understanding of SSE event formats, content types, and payload shapes for cross-stack debuggingFamiliarity with uv, Ruff, and pytestKnowledge of MLflowFamiliarity with Redis/APSchedulerBackground in oil & gas domain knowledgeWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.