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
- 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
- U.S. Citizenship is required
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- 5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems, with demonstrated ownership of end-to-end delivery
- 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.
Skills Required
- Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- 5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems
- 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
Govini Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Govini and has not been reviewed or approved by Govini.
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Healthcare Strength — Healthcare coverage is positioned as strong, with medical, dental, and vision insurance described as covered “in full” for employees and offered with competitive options for families.
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Retirement Support — Retirement support appears competitive, with a 401(k) match listed up to 4% and immediate vesting, which strengthens the long-term value of the package.
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Leave & Time Off Breadth — Time-off benefits are broad on paper, including unlimited vacation and sick days, which can increase flexibility if team norms allow consistent usage.
Govini Insights
What We Do
Govini builds software to accelerate the Defense Acquisition Process. Ark, Govini’s flagship product, is a suite of AI-enabled applications, powered by integrated government and commercial data, that solves problems across the entire spectrum of Defense Acquisition, including Supply Chain, Science & Technology, Production, Sustainment, and Modernization. With Ark, the Acquisition community eliminates slow, manual processes and gains the ability to rapidly imagine, produce, and field critical warfighting capabilities. Ark transforms Defense Acquisition into a strategic advantage for the United States.
