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Senior Ai Engineer

Senior Ai Engineer

99X Brazil (Formerly Nextly)São Paulo, Brasil
Há 1 dia
Descrição da vaga

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.ResponsibilitiesDesign, 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 TechnologiesPythonLangChain, LlamaIndex, DeepEvalDocker, KubernetesGraph Databases (Memgraph, Neo4j)PostgreSQLOpenAI APIs, GPT-4LLMCompiler, ReAct, Adaptive RAG, GraphRAG ArchitecturesRequirementsPython (must-have), 3+ years production ML / AI experienceStrong 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 strategiesProduction engineering : Pydantic models, JSON schema, streaming, error handling, performance optimizationEvaluation : LangSmith, , BLEU / ROUGE, observabilityBonus : Experience with complex agent orchestration / state machines, agentic RAG, human-in-the-loop, map-reduce patterns, custom evaluation datasetsBenefitsYour 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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