Job Title

Join our team as a Senior AI Engineer, where we're focused on graduating AI from interesting demos to indispensable products. You will architect reliable, self-improving systems that empower subject matter experts to automate their most complex, high-value work. This is a role for engineers who have already shipped AI into production and want to own the hardest problems: building AI tools that are trusted to make critical decisions.Key ResponsibilitiesArchitect and Build AI-Enabled Products: Own the technical direction of products built on LLMs and foundation models. You will push new techniques into production fast, not write reports about them.High-Performance Search and RAG: Architect, build, and optimize our data indexing, ranking, and query processing systems for high-performance Search and Retrieval-Augmented Generation (RAG).Own Evaluation Frameworks: Design and own robust frameworks to evaluate the performance of our agents, RAG systems, and various LLMs. We take a polyglot approach to working with LLMs, with a strong preference for getting workloads running on open-source models.Raise the Bar: Set technical standards, drive architectural decisions, and make the engineers around you better through design reviews, mentorship, and leading by example.Qualifications5+ years of experience in Software Engineering or end-to-end Data Science, with strong proficiency in Python and data-oriented algorithms.Deep expertise in one or more of: distributed AI agents, data systems, or machine learning engineering.Track record of leading technical projects end-to-end, from system design through production deployment and iteration.Modern Python microservices with FastAPI, Ray.IO for distributed AI workloads, and Kubernetes orchestration, powering enterprise-scale AI agent execution with gRPC inter-service communication and Google Cloud Pub/Sub event streaming.AI Agent Stack: Anthropic, OpenAI, Qdrant, ParadeDB, Sentence-Transformers, FAISS, building sophisticated AI agent orchestration with tool coordination, vector search, and real-time data processing.Demonstrated experience shipping agents, training and evaluating emerging LLMs, building RAG systems, or working with vector databases in production. We encourage you to share your projects with us!Familiarity with our core technologies is a plus: Ray, Postgres, Iceberg, Google Cloud, and Docker/Kubernetes/Helm.Our TeamWe are a rapidly growing startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!