ASI Government provides government leaders with the expertise they need to navigate acquisition and organizational challenges so they can make an impact and achieve their goals. For over 30 years, ASI has transformed the way government does business, impacting over 70 government agencies across the civilian, defense, and intelligence communities.
Do you thrive on creating unique and impactful value for Federal clients? Are you passionate about partnering with clients and collaborating to create solutions? Do you enjoy the opportunity to drive change that impacts our nation?
We are looking for smart, curious, driven individuals to join us in partnering with our client to help them solve some of the nation’s most challenging problems. ASI Government serves as a trusted adviser to government leaders seeking improved performance, enhanced organization effectiveness, and strategic change.
ASI Government is seeking an Agentic AI Developer to join our growing AI Practice. In this role, you will design and build AI agents and automated workflows that help Department of War (DoW) logistics and supply chain organizations, including the Defense Logistics Agency (DLA) and Naval Supply Systems Command (NAVSUP), work faster and smarter. You will turn real mission use cases into working agents that read documents, call systems, and complete multi-step tasks with people in the loop, then show federal executives what those agents can do.
This is a flexible, high-impact seat that moves to where the work is across our client accounts. You will write production-quality code, build evaluation and guardrails into everything you ship, and represent ASI’s agentic AI capabilities in executive client meetings, capability briefings, and live demonstrations.
Key Responsibilities:
Design and build agentic AI workflows: large language model (LLM) agents that use tools, retrieve from documents and data, and complete multi-step tasks with built-in human review points.
Build automation for client use cases such as contract modification automation, contract data dashboarding, and invoice reconciliation.
Connect agents to data sources, APIs, and interfaces in partnership with data scientists, full-stack developers, and cloud engineers, using standardized integration patterns such as Model Context Protocol (MCP) where appropriate.
Build evaluation into every agent, including test sets, accuracy measures, and logging, so behavior can be verified before and after release.
Design guardrails for responsible AI use: human approval steps, least-privilege permissions, and audit trails that hold up in a government security review.
Package each build for client deployment teams, with the documentation needed for deployment and Authority to Operate (ATO).
Participate in executive client meetings and pitch sessions with federal agency leadership: demonstrate agents, explain how they work and what they need to run, and answer technical questions.
Help shape demos and technical content for new business pursuits and capability briefings alongside practice leadership and business development.
Follow the practice’s delivery methodology and work from priorities set by development leadership.
Required:
5+ years of professional software development experience, including 2+ years building applications on large language models (tool use/function calling, retrieval-augmented generation, and multi-step agent workflows).
Strong Python skills and hands-on experience with at least one agent or LLM orchestration framework (e.g., LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel, or a model provider’s agent SDK).
Experience evaluating LLM output: building test sets, measuring accuracy, and analyzing failure cases, including regression testing across model or prompt changes.
Experience writing software that other teams deploy, with version control, CI/CD practices, and clear technical documentation.
Experience with executive client engagement in the federal space, including pitch…