Found Description
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 Gen AI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency. Build and extend internal products on top of the Lang Chain ecosystem (Lang Graph, Lang Smith) to support prompt management, evaluation, and agent orchestration across the team. Must‑have Skills Bachelor's or Master's degree in C...