Senior AI Engineer, Agentic Interactions

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States.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 interact with all Ark interfaces in an agentic manner 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 interact with frontend interfaces agentically. Experience designing front-end architectures with explicit state and action models suitable for AI-driven interaction (agent-controlled UI, tool invocation, and deterministic workflows). 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 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 5+ years of progre