Job description

• Annapolis Junction, MD Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving , open communication , and empowering our employees to make decisions and put forth new ideas. Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers. Description 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. • 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 RAD 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 This position allows for partial telework. Clearance 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. Experience 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. Required 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 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 Benefits Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $150,000 - $265,000. Wealth 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 Health Benefits: • 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 Happiness Benefits: • 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 At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire. Not seeing the right position right now? Reach out to us, and we’ll notify you as new contracts and opportunities become available! Please send referrals and inquiries to: jobs@eriasventures.com To learn more about our company visit our webpage or LinkedIn . Apply Now Share This Job

Requirements

Must-haves

Annapolis Junction, MD
Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving , open communication , and empowering our employees to make decisions and put forth new ideas.
LLM Integration: 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
This position allows for partial telework.
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.
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
Above Market Hourly Pay
Spot Bonuses for Assisting with Business Development and Company Growth
Professional Development Bonuses for Certificates and Degrees
Monthly Wellness Reimbursement
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

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

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Benefits

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Dental

Vision

401k

Paid Time Off

Wellness

Professional Development