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Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States.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 and 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 Lead AI Engineer to lead 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 and/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 leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers 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 operating with urgency Lead Agile ceremonies and technical planning for the Agentic AI team Strong Candidates have: Experience designing and deploying complex agentic systems using LLMs Hands-on work with multi-agent coordination, routing, and tool orchestration Passion for building autonomous and semi-autonomous systems that solve real customer problems This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Designs and builds multi-agent systems with tool use, memory, routing, and planning Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems Qualifications U.S. Citizenship is required Required Skills: Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field <li>
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