Responsibilities

• Collaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows.
• Implement optimized vector storage and indexing systems for NLP.
• Develop tools and frameworks for prompt management, automated evaluations, and observability.
• Monitor and improve agentic systems performance for accuracy and efficiency.
• Provide ongoing support, troubleshoot issues, and implement updates for ML solutions.
• Build and maintain data processing pipelines for high volumes of structured and unstructured data.
• Integrate third-party AI APIs (internal and external) to extend the functionality of systems.
• Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.
• Build and extend internal products on top of the LangChain ecosystem (LangGraph, LangSmith) to support prompt management, evaluation, and ...