Enterprise - AI Engineer - Python, LLM, AWS
Erias Ventures•Annapolis Junction, MD
•Hybrid
About The Position
We are seeking an Artificial Intelligence (AI) Engineer who will work closely with system and software engineers to design, prototype, and integrate AI-enabled capabilities into the existing RAD 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.
Requirements
- Bachelor’s degree from an accredited college or university. Four (4) years of additional SWE or related experience may be substituted for a Bachelor’s degree. Master’s degree can be substituted for two (2) years experience.
- 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
- A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Nice To Haves
- 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
Responsibilities
- 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
- Integrate existing foundation models into the RAD architecture via APIs and orchestration frameworks, selecting the right model and approach for each task rather than building models from scratch
- 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
- 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
- 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
- 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
Benefits
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and Monthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
