AI Engineer

Join our team as an AI Engineer, where we're focused on graduating AI from interesting demos to indispensable products. You will build reliable, self-improving systems that empower subject matter experts to automate their most complex, high-value work. This is a role for engineers who want to solve real-world business challenges and create AI tools that are trusted to make critical decisions.

Key Responsibilities

Build AI-Enabled Products : Develop products that are fully enabled by the capabilities of LLMs and other recent developments in foundation models. You will evaluate and assimilate emerging techniques into our production systems.

High-Performance Search and RAG : Build and optimize our data indexing, ranking, and query processing systems for high-performance Search and Retrieval-Augmented Generation (RAG).

Develop Evaluation Frameworks : Create 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.

Qualifications

1-3 years of experience in Software Engineering or end-to-end Data Science, with strong proficiency in Python and data-oriented algorithms.

Strong background in either AI agents, data systems or machine learning engineering.

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 : LlamaIndex, LangGraph, SmolAgent, Instructor, Anthropic, OpenAI, Qdrant, ParadeDB, Sentence-Transformers - building sophisticated AI agent orchestration with tool coordination, vector search, and real-time data processing

Recent demonstrated experience in building agents, training and evaluating emerging LLMs, building RAG systems, or working with vector databases. 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!