Govini
Defense
AIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer at Govini. Skills: AI Engineering, LLM, Agentic systems. Design and build multi-agent systems. Develop Agent Skills and tools”
Industry & Context.
Troubleshooting complex problems
Up to 25% travel, U. S. Citizenship
What They're Looking For.
Must Have
Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field, Minimum 1 year of experience building and deploying ML or LLM-powered systems in production environments, Practical experience in building, developing, and productionizing machine learning systems, Advanced software skills in Python, Experience with common LLM algorithms and implementations, Hands-on experience with AWS and cloud infrastructure, Familiarity with Git source control management, Ability to work collaboratively with little supervision, U. S. Citizenship is required
Nice to Have
Current possession of a U. S. security clearance, or the ability to obtain one with our sponsorship, Experience in or exposure to the nuances of a startup or other entrepreneurial environment
What You'll Do.
Design and build multi-agent systems
Develop Agent Skills and tools
Own the technical architecture
Own engineering standards
Assist with automated evaluation
Apply agents to customer problems
How You'll Work.
Team & Collaboration
Work with Product and Implementation organizations
Full Job Description
Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination. In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks. Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics). Experience working in highly ambiguous environments, and operate with urgency Startup experience, particularly in scaling products from zero to one Strong Candidates have: Experience designing and deploying complex agentic systems using LLMs Hands-on work with multi-agent coordination, routing, and tool orchestration Love coding agents This ro
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