Senior Engineer

Senior Engineer role to design and develop AI-driven applications using LLMs and advanced reasoning workflows. Responsibilities include building and optimizing Retrieval-Augmented Generation (RAG) pipelines, embeddings, and vector search systems; implementing tool-integrated AI systems that interface with multiple data sources; improving response quality, explainability, and structured outputs; working with LangChain/LangGraph or similar orchestration tools; designing scalable data pipelines for structured and unstructured data; developing real-time and batch data processing systems; modeling and optimizing data for analytics, forecasting, and AI consumption; ensuring data quality, governance, and observability; building and managing microservices/serverless applications on cloud platforms; ensuring scalability, reliability, and performance. Minimum requirements emphasize extensive hands-on experience across distributed, data-intensive, and cloud-based architectures, with cloud providers (AWS, GCP, Azure) and experience in AI/ML-driven systems. Benefits and inclusive hiring statements are included in the posting.