AI Engineer – LLM & Agentic Workflows

Ctrl + • Annapolis Junction, MD

1d • Hybrid

About The Position

The AI Engineer will apply existing large language models to mission workflows and build agentic solutions that automate manual work and streamline reporting. The role supports an enterprise reporting and dissemination system integrating AI-enabled capabilities into mission workflows. The engineer will design and build multi-agent workflows from concept through deployment, integrate foundation models through APIs and orchestration frameworks, refine prompts and agent instructions, develop testing and evaluation strategies for AI outputs, and collaborate with engineers and domain experts to present tradeoffs.

The position is based in Annapolis Junction, Maryland, with required in-person work and up to three days per week of telework. Applicants must live within commuting distance and currently hold an active TS/SCI clearance with polygraph; the employer does not sponsor new clearances or upgrades.

Requirements

• At least 3 years of relevant experience.
• Bachelor’s degree in a STEM discipline.
• Strong production-quality Python skills.
• Experience building applications on existing LLMs via APIs.
• Experience with multi-agent workflows, prompt chaining, and tool use, such as LangChain, LlamaIndex, or custom solutions.
• Experience with prompt engineering and LLM output evaluation.
• Experience integrating AI into RESTful APIs and microservices.
• AWS experience.
• Must currently hold an active TS/SCI clearance with polygraph.
• Must live within commuting distance of the listed work location; regular on-site attendance is required.

Nice To Haves

• Experience with RAG pipelines and vector databases.
• Experience with LLM observability and evaluation tools.
• Exploratory data analysis experience.
• MLOps/LLMOps practices.

Responsibilities

• Design and build multi-agent AI workflows from concept to deployment.
• Integrate foundation models through APIs and orchestration frameworks.
• Engineer and refine prompts and agent instructions.
• Build testing and evaluation strategies for AI outputs.
• Collaborate with engineers and domain experts and present tradeoffs.

Benefits

• 10% employer 401(k) non-elective contribution.
• Employer-paid life insurance and short- and long-term disability insurance.
• Medical, dental, and vision coverage options.
• Employee Assistance Program.
• Professional development and certification reimbursement.
• Technology and ergonomic equipment reimbursement, subject to eligibility.
• Referral and retention bonus programs, subject to eligibility.
• Paid social and team events.
• Compensation options include Max Rate, With Bonus, or With Bonus and PTO; PTO and bonuses depend on the selected model and role eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level