Senior AI Engineer

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, pass@k, 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;