Security-Cleared RAG & LLM Engineer — API & Self-Hosted AI

GRVTY; Sterling (VA); On-site; USD 175,000 - 225,000; Full time

Benefits offered by this job

Health plan

Health Savings Account

Paid Time Off

Parental Leave

401k with company match

Training and development

Awards programs

Company events

Job summary

GRVTY is seeking a seasoned AI/ML engineer to implement and maintain RAG pipelines, embed generation, and retrieval configuration in support of mission-critical workloads.

You will integrate LLMs into applications via APIs, develop REST interactions, and deploy self-hosted LLMs while contributing to red-teaming of alignment. This role requires strong Python expertise and the ability to adapt to evolving AI methodologies.

Qualifications

• Active TS/SCI with ability to obtain a Polygraph Clearance.
• Experience with Retrieval-Augmented Generation (RAG) and semantic retrieval.
• Strong Python proficiency and API integrations.
• Ability to conduct independent technical research and evaluate AI/ML approaches.
• Adapt quickly to evolving AI methodologies and toolchains.

Responsibilities

• Implementing and maintaining RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
• Integrating LLMs into applications using available APIs and frameworks
• Developing and maintaining REST API interactions to support data retrieval and system integration
• Deploying and maintaining self-hosted LLMs
• Red teaming of LLM alignment

Skills

Python

AI/ML libraries

API integrations

RAG workflows

LLM integration

Education

Bachelor's degree

Master's degree

Doctorate

Tools

Docker

AWS/cloud environments

Containerized workflows

Job description

GRVTY is seeking a seasoned AI/ML engineer to implement and maintain RAG pipelines, embed generation, and retrieval configuration in support of mission-critical workloads.

You will integrate LLMs into applications via APIs, develop REST interactions, and deploy self-hosted LLMs while contributing to red-teaming of alignment. This role requires strong Python expertise and the ability to adapt to evolving AI methodologies.