AI Engineer: LLM Orchestration & RAG Pipelines (TS/SCI)

Hoplite Solutions LLC; Fort Meade (MD); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

Life insurance

Disability (short/long-term)

401(k) matching 7%

Paid holidays

Education assistance $5,000/year

4 weeks PTO

Job summary

Hoplite Solutions LLC in Fort Meade, MD is seeking an AI Engineer with a strong software engineering background and deep AI/ML experience to support AI/ET mission, capture requirements, aid planning, and enhance the certification process with AI/ML tooling, including LLM fine-tuning for vulnerability identification.

You will design LLM orchestration frameworks, build data preprocessing pipelines, and implement databases for RAG architectures, artifact storage, and audit trails.

Qualifications

• Bachelor's degree with 5+ years of relevant experience or equivalent.
• Proficiency in Python, LLM integration, and data engineering.
• Experience with static analyzers, RAG framework, and relational and vector databases.
• Familiarity with Agile, Git, Jira, and Confluence.
• Active TS/SCI with Polygraph security clearance.

Responsibilities

• Design, develop, and maintain LLM orchestration frameworks coordinating analyzers, RAG, and testing pipelines.
• Develop data preprocessing pipelines for ingestion and vectorization for LLM consumption.
• Design databases to support RAG architectures, artifact storage, audit trails, and metadata management.

Skills

Python

LLM integration

Data engineering

Agile methodologies

Security clearance

Education

Bachelor's degree

5+ years experience

Tools

Git

Jira

Confluence

Relational databases

Vector databases

Job description

Hoplite Solutions LLC in Fort Meade, MD is seeking an AI Engineer with a strong software engineering background and deep AI/ML experience to support AI/ET mission, capture requirements, aid planning, and enhance the certification process with AI/ML tooling, including LLM fine-tuning for vulnerability identification.

You will design LLM orchestration frameworks, build data preprocessing pipelines, and implement databases for RAG architectures, artifact storage, and audit trails.