AI Engineer - Cleared

Location: Annapolis Junction, MDClearance: TS/SCI PolyFull benefits package including a 15% 401(k) match and 30 days PTO.

Description:

We have an immediate need for an Artificial Intelligence (AI) Engineer to support . The AI Engineer will work closely with system and software engineers to design, prototype, and integrate AI-enabled capabilities into the existing architecture. 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 the architecture 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 codeHands-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 databasesFamiliarity with LLM observability and evaluation tooling
•              Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflowsFamiliarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scaleFamiliarity with domain knowledge surrounding government agency reporting and dissemination policies

  Benefits Our client takes pride in taking care of its team members as you will see in their robust benefits package. Some benefits offered include:

  • Competitive Compensation

  • Medical, Dental & Vision insurance

  • 15% 401k Contribution

  • 30 PTO days with carryover available

  We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.