AI Engineer, Internal Enablement & Productivity

Govini • Pittsburgh, PA

1d • Onsite

About The Position

We are seeking an experienced AI Engineer to join our AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency across the company by scaling robust AI integrations and agentic workflows. This role will be central to designing and deploying agents to handle complex, end-to-end tasks, driving measurable improvements in how our core teams (e.g., Product, Engineering, Operations, and Customer Success) work. This strategic and execution-focused role will lead our internal AI Enablement roadmap, initially focusing deeply on improving core departments (e.g., Sales, Marketing, Product, Engineering, Operations, and Customer Success) through agentic automation.
You'll leverage best-in-class AI tools and AI agents (e.g. Gemini and other LLMs) to dramatically increase employee productivity, drive down operational costs, and enable our teams to deliver faster, better outcomes at scale. Your goal is to build our foundation for an AI-enabled future, implementing AI-driven workflows and agents throughout the organization, starting with internal operations and coupling workflows across key functions like GTM.

To do this job well, we are looking for someone who can demonstrate project(s) built on LLMs that showcases your skill at reliably automating complex tasks.

Requirements

• U.S. Citizenship is required
• 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 and other programming languages
• Experience with common LLM algorithms and implementations, including coding agents (e.g. Claude Code and GenAI coding best practices).
• Hands-on experience with cloud infrastructure (e.g. AWS, GCP)
• 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
• Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
• Experience integrating and working with agent frameworks (e.g. Claude Agent SDK, Google Anti-Gravity, 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

Nice To Haves

• 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 modern front-end frameworks (e.g., React, Next.js, or similar) and API-driven UI architectures
• Deep experience leveraging agents across applications and business workflows to drive meaningful impact
• Experience designing and deploying complex agentic systems using LLMs (e.g. deep research)
• Hands-on work with multi-agent coordination, routing, and tool orchestration

Responsibilities

• Designs and builds multi-agent systems with tool use, memory, routing, and planning to automate internal business processes and enhance employee capabilities.
• Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing to increase internal team velocity.
• Contribute to the technical architecture and engineering standards for internal agentic systems, ensuring scalability, reliability, and maintainability across the organization.
• Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle to ensure reliable internal tools.
• Partner with internal Product, Engineering, GTM, and Operations teams to identify and implement AI-driven solutions to optimize their workflows and reduce operational costs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level