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Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States.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 role is a full-time position located out of our office in Pittsburgh, PA.

This role may require up to 25% 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
Own the technical architecture and engineering standards for agentic systems, ensuring scalability, reliability, and maintainability
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
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
A strong desire to learn and investigate new technologies
Familiarity with Git source control management
Ability to work collaboratively with little supervision
A burning desire to work in a challenging, fast-paced tech environment

Desired Skills

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
Comfortable with Claude Code and GenAI coding best practices.

We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.

Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

AI Engineer

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