Army VANTAGE LLM Engineer — Fine-Tune & RAG Architect

Noblis, Inc.; Oklahoma City (OK); Hybrid; USD 116,000 - 181,000; Full time

Job summary

Noblis is seeking an LLM Engineer to support the OptiSource program for AMC's Organic Industrial Base Modernization Office. You will drive LLM integration, prompt engineering, and RAG architectures across DoD AI initiatives, with a focus on Palantir Foundry and enterprise data platform integration.

The role requires active Secret clearance, US citizenship, and hands-on experience deploying LLM interfaces to production, plus collaboration with cross-functional teams to translate customer needs

Qualifications

• Bachelor's degree and a minimum of 5 years ML/NLP/AI engineering.
• Minimum of 2 years focused on LLM development, fine-tuning, prompt engineering, or LLM integration.
• Experience deploying LLM interfaces to production.
• Enterprise data platform integration (Palantir Foundry, Databricks) required.
• Active Secret security clearance is required. US citizenship is required.

Responsibilities

• Collaborate with the existing OptiSource development team to define and implement predictive analytics capabilities within the Army VANTAGE platform
• Translate broadly scoped customer requirements into concrete, deployable AI/ML solutions using the Palantir Foundry toolset
• Support the migration and enhancement of an existing analytics application from a contractor environment into the Army's VANTAGE platform

Skills

ML/NLP engineering

LLM development

Production deployment

Education

Bachelor's degree

Tools

Palantir Foundry

Databricks

LangChain

LlamaIndex

HuggingFace

Pinecone

Chroma

Job description

Noblis is seeking an LLM Engineer to support the OptiSource program for AMC's Organic Industrial Base Modernization Office. You will drive LLM integration, prompt engineering, and RAG architectures across DoD AI initiatives, with a focus on Palantir Foundry and enterprise data platform integration.

The role requires active Secret clearance, US citizenship, and hands-on experience deploying LLM interfaces to production, plus collaboration with cross-functional teams to translate customer needs