AI Engineer, Agentic Interactions at Govini

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

31 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic Interactions, LLMs, Frontend Interfaces, State Models, Action Models, Agent Frameworks, Observability, Evaluation, Feedback Loops, Multi-Agent Systems, Tool Use, Planning, Python, AWS, Cloud Infrastructure, Git

Industry

Software Development

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Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States.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 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 Minimum 3 years 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 Experience 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.

Responsibilities

The role involves designing and building multi-agent systems incorporating tool use, memory, routing, and planning capabilities. Responsibilities also include developing Agent Skills and tools as modular services that interface with backend systems, models, and data processing.