Senior AI Engineer

Há 6 dias

São Paulo, São Paulo, Brasil 99x Brazil (formerly Nextly) Tempo inteiro R$90.000 - R$120.000 por ano

We're looking for a Senior AI Engineer with deep hands-on experience in LLM application development, particularly using LangChain and LangGraph. You'll play a key role in architecting and implementing AI-driven features that power insights, recommendations, and user experiences across our platform.

This is an opportunity to join a nimble, fast-moving team where your contributions will have an immediate impact on product direction and company growth.

You will work on a people analytics platform and a private executive network for HR leaders. The product is live, scaling quickly, and already delivering value to a growing community of executives.

The team moves fast, collaborates closely across design and product, and takes pride in writing high-quality code with smart, scalable architecture.

Responsibilities
  • Design, build, and scale LLM-powered applications using LangChain and LangGraph.
  • Collaborate with product managers, designers, and engineers to define AI-driven features.
  • Ensure code quality, maintainability, and performance in production systems.
  • Prototype quickly while also building for long-term scalability.
  • Stay on top of emerging AI frameworks, techniques, and best practices.

Key Technologies

  • Python
  • LangChain, LlamaIndex, DeepEval
  • Docker, Kubernetes
  • Graph Databases (Memgraph, Neo4j)
  • PostgreSQL
  • OpenAI APIs, GPT-4
  • LLMCompiler, ReAct, Adaptive RAG, GraphRAG Architectures

Requirements

  • Python (must-have), 3+ years production ML/AI experience
  • Strong LangChain & LangGraph expertise (LCEL, workflows, multi-agent systems, agent patterns like ReACT/plan-and-solve, RAG, advanced retrieval strategies)
  • Vector DBs (Pinecone, Weaviate, ChromaDB), chunking strategies
  • Production engineering: Pydantic models, JSON schema, streaming, error handling, performance optimization
  • Evaluation: LangSmith, , BLEU/ROUGE, observability
  • Bonus: Experience with complex agent orchestration/state machines, agentic RAG, human-in-the-loop, map-reduce patterns, custom evaluation datasets

Benefits

  • Your pick when it comes to employment models: CLT/PJ/Cooperativa;
  • We provide resources for you to grow and learn on the job, including online courses, mentoring, and the latest gen laptops;
  • A fully remote work environment with flexible working hours;
  • Bonus for any referrals that we end up hiring;

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