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

high-performance engineering culture