Role overview
We are hiring two AI/LLM Engineers (1 Mid-Level, 1 Senior) to join a small, focused team building backend features for an existing Retrieval-Augmented Generation (RAG) service. You will be primarily coding in Python, creating API endpoints, developing LangGraph plugins that integrate with the content retrieval pipeline. You’ll work across the full RAG workflow—data ingestion, embeddings, retrieval, prompt engineering, generation, and evaluation—ensuring reliable production performance. Must be able to work independently, communicate clearly, and collaborate to refine workflows. This is a fast paced role that requires delivering high quality, well architected backend functionality for client facing solutions.
What we're looking for
- Experience with LangChain
- Proficiency with GitHub and version control workflows
- Experience with model and pipeline evaluation, including the use of RAG specific metrics (RAGAS: accuracy, relevance, and groundedness)
$65/hr to $80/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of
employment, including options for medical, dental, and vision insurance. Eligibility to enroll in
the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this
role will have access to paid sick leave and other paid time off benefits as required under the
applicable law of the worksite location.