Senior AI Engineer

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 Responsibilities

• Architect 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.

Qualifications

• 5+ 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 Team

We 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!