AI Engineer with TS/SCI Clearance & Full Scope Polygraph - Hybrid role in Annapolis Junction

Booker DiMaio, LLC; Columbia (MD); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Booker DiMaio, LLC seeks an AI Engineer to design and deploy AI-enabled capabilities within mission-focused software. You will work with system and software engineers to apply existing LLMs to real workflows, building agentic solutions and prompts to automate reporting tasks.

The role is hybrid with up to 3 days remote and 2 onsite in Annapolis Junction, MD, and requires a Top Secret/SCI Clearance with Full Scope Polygraph.

Qualifications

• Experience writing production-quality Python code.
• Experience building applications on top of existing LLMs via APIs.
• Experience designing multi-agent AI workflows, including prompt chaining and agent orchestration.
• Strong prompt engineering skills and evaluation of LLM outputs.
• Experience integrating AI capabilities into software architectures (RESTful APIs, microservices).
• Experience with AWS cloud platforms.

Responsibilities

• Agentic Solution Design & Development: Lead design and development of AI-driven solutions from conception to deployment, building multi-agent workflows where coordinated agents and prompts produce outputs for reporting and dissemination.
• LLM Integration: Integrate existing foundation models into software architectures via APIs and orchestration frameworks, selecting the right model and approach for each task.
• Prompt Engineering & Workflow Automation: Design, test, and refine prompts and agent instructions to automate manual tasks and decompose workflows into discrete steps.
• Evaluation & Reliability: Develop robust testing, evaluation, and validation strategies for AI outputs to ensure accuracy and handle edge cases.
• Collaboration & Communication: Serve as a technical liaison with system engineers, software developers, and domain experts; communicate tradeoffs effectively.
• Continuous Improvement: Stay current with evolving LLM and agentic AI landscapes and identify opportunities to apply new capabilities.

Skills

Python development

LLM API integration

Multi-agent workflow design

Prompt engineering

API/microservices integration

AWS cloud platforms

Tools

LangChain

LlamaIndex

Job description

An active Top Secret/SCI Clearance with a Full Scope Polygraph is required.

This is a hybrid schedule with up to 3 days/week remote and 2 days/week onsite in Annapolis Junction, MD.

We have an immediate need for an Artificial Intelligence (AI) Engineer to support the development and sustainment of mission-focused AI capabilities. The AI Engineer will work closely with system and software engineers to design, prototype, and integrate AI-enabled capabilities into existing software architectures. This role centers on applying existing large language models (LLMs) to real mission workflows rather than training new models. The AI Engineer will build agentic solutions, systems of coordinated AI agents and prompts, that automate tasks currently performed manually, streamline authoring and reporting workflows, and enhance the overall effectiveness of intelligence operations.

Responsibilities

• Agentic Solution Design & Development: Lead the design and development of AI-driven solutions from conception to deployment, building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination. This includes prototyping, writing production-quality code, and maintaining deployed AI capabilities.
• LLM Integration: Integrate existing foundation models into existing software architectures via APIs and orchestration frameworks, selecting the right model and approach for each task rather than building models from scratch.
• Prompt Engineering & Workflow Automation: Design, test, and refine prompts and agent instructions to reliably automate manual tasks, and decompose complex mission workflows into discrete steps an agent pipeline can execute.
• Evaluation & Reliability: Develop robust testing, evaluation, and validation strategies for AI-generated outputs, ensuring accuracy, consistency, and appropriate handling of edge cases before outputs reach analysts and reports.
• Collaboration & Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
• Continuous Improvement: Stay current with the rapidly evolving LLM and agentic AI landscape (new models, orchestration frameworks, and tooling), continuously identifying practical opportunities to apply emerging capabilities to the system.

Required Technical Skills

• Strong Python development skills, with experience writing production-quality, maintainable code
• Hands-on experience building applications on top of existing LLMs (e.g., via APIs for commercial or self-hosted models)
• Experience designing multi-agent or multi-step AI workflows, including prompt chaining, tool use, and agent orchestration (e.g., LangChain, LlamaIndex, or custom frameworks)
• Strong prompt engineering skills and experience evaluating/validating LLM outputs
• Experience integrating AI capabilities into existing software architectures (RESTful APIs, microservices)
• Experience with the Amazon Web Services (AWS) cloud computing platform

Desired Technical Skills

• Experience with retrieval-augmented generation (RAG) pipelines and vector databases
• Familiarity with LLM observability and evaluation tooling
• Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflows
• Familiarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scale
• Familiarity with domain knowledge surrounding government agency reporting and dissemination policies