Senior LLM Engineer for Naval RAG & AI Analytics

Energy Jobline ZR; Chesapeake (VA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salaries

Comprehensive medical plans

Company paid insurance (short/long‑trm

Traditional and Roth 401(k) plans

Professional development up to $2,500/

Paid flexible time off

9 paid holidays

Job summary

Phoenix Group of Virginia seeks a Senior Data Scientist / AI Engineer to design, develop and deploy production-grade RAG systems and agentic AI workflows for naval maintenance and modernization programs. You will transform complex maintenance data into actionable insights, summaries, and decision-support analytics.

The role requires deep LLM engineering expertise, strong Python skills, and experience with cloud ML platforms.

Qualifications

• Expert-level LLM engineering, RAG architectures, and agentic workflows.
• Strong Python and LLM/data ecosystem skills including Databricks and cloud ML tools.
• Experience delivering production AI features with measurable impact.

Responsibilities

• Design, develop, deploy, and improve production-grade RAG systems and AI workflows.
• Translate naval maintenance data into actionable insights and predictive signals.
• Collaborate with stakeholders and brief leadership on results and limitations.
• Ensure responsible AI practices and governance in deployments.

Skills

LLM engineering

RAG architectures

agentic workflows

prompt engineering

evaluation frameworks

grounding techniques

Python

cloud ML pipelines

Education

Master’s degree or higher

PhD advantageous

Tools

LangChain

LangGraph

Databricks

AWS SageMaker

cURL

Pandas/Polars

Job description

Phoenix Group of Virginia seeks a Senior Data Scientist / AI Engineer to design, develop and deploy production-grade RAG systems and agentic AI workflows for naval maintenance and modernization programs. You will transform complex maintenance data into actionable insights, summaries, and decision-support analytics.

The role requires deep LLM engineering expertise, strong Python skills, and experience with cloud ML platforms.