Agentic Operations Engineer

Fullsteam Personnel, LLC; Georgia; Hybrid; USD 130,000 - 150,000; Full time

Job summary

Fullsteam is seeking an Agentic Operations Engineer in the United States to embed within a business unit, identifying high-leverage problems and building AI-based solutions on the agentic operating system. You will document knowledge for AI agents and new hires, and drive adoption through live demos in a fast-paced environment.

The role requires 1–3 years of software development and 3+ years of operational experience, plus a master's in a quantitative field.

Qualifications

• Proven personal experience transforming a process, department, or product with measurable before-and-after results.
• Hands-on experience using AI tools and agents in production or business contexts.
• 1–3 years of software development or programming experience.
• 3+ years of operational experience with improving business processes and delivering measurable outcomes.
• Experience operating across business, technology, and people disciplines.
• Track record of shipping early-stage functional solutions and iterating based on feedback.

Responsibilities

• Identify the highest-leverage business problems within an assigned business unit (P&L lines, bottlenecks, customer pain points).
• Build and ship working AI solutions on the agentic operating system against those problems, prototyping fast.
• Encode BU domain knowledge into structured skills and context files for AI agents or new hires.
• Drive adoption by demonstrations—evangelizing working demos to stakeholders.
• Publish results and adjust positions based on evidence (data, usage, logs).
• Operate with resilience under resistance while maintaining momentum.

Skills

Domain fluency

Hands-on AI

Cross-disciplinary

Written communication

Rapid learning

Work under ambiguity

Evidence-driven decisions

Education

Master’s degree in Data Science/AI

Tools

AI tools

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing! Fullsteam is a leading provider of vertical software and embedded payments technology dedicated to helping businesses flourish by providing their customers with seamless experiences. With a dynamic and growing team of over 1,900 employees, we are committed to driving innovation and delivering best-in-class software and payment solutions that empower small and medium-sized businesses across numerous industries. Our purpose is to help our customers grow their businesses and delight their customers. Join us and be a part of a forward-thinking company that values growth, excellence, and the success of our clients. The AI Enablement team works with the business units within the Solutions Portfolio to support Fullsteam's effort to become AI native and scale its agentic operating system. The team was formed to replicate, at speed, the operating model that has already worked to streamline operational workflows and use the agentic operating system to rewrite, modernize, and transform legacy systems, providing the ability to rapidly innovate and scale. The Agentic Operations Engineer is a multidisciplinary business operator, not a software engineer, data scientist, or project manager, who treats AI as leverage against real operational problems. This person embeds within a business unit, identifies the highest-leverage problems using domain fluency in finance, operations, support, or engineering, and builds working AI solutions on the agentic operating system that prove their value through demonstration rather than proposals. The role is accountable for shipping fast, documenting compulsively so others (including AI agents) can act on that knowledge, and driving adoption across a skeptical, resource-constrained environment.

Primary Responsibilities:

• Identify the highest-leverage business problems within an assigned business unit (P&L lines, operational bottlenecks, customer pain points)
• Build and ship working AI solutions on the agentic operating system against those problems, prototyping fast rather than proposing and waiting for permission
• Encode BU domain knowledge into structured skills and context files precise enough for an AI agent or new hire to act on autonomously
• Drive adoption by demonstration — evangelizing working demos to skeptical stakeholders rather than pitching theory
• Change positions based on evidence (data, usage, logs), including publishing unflattering results
• Operate with resilience under resistance, absorbing skepticism and turf issues while maintaining momentum
• Deliver measurable before-and-after outcomes from a personally-led transformation

Skills & Competencies:

• Domain fluency in at least one of: finance, operations, customer support, or engineering
• Daily, hands‑on use of AI as an operator — able to demonstrate live agents, automations, or skills libraries in production
• Ability to cross disciplines without waiting for permission (e.g., a finance professional who codes, a support lead who builds their own tooling)
• Strong written communication; able to produce specs and context documents that stand alone without the author present
• High learning velocity — able to pick up new domains in days, not quarters
• Comfort operating at pace under ambiguity, without stalling for perfect information
• Evidence‑driven decision‑making; willingness to question and challenge process for the sake of speed and truth

Minimum Qualifications:

• Demonstrated personal experience transforming a process, department, or product, with measurable before-and-after results.
• Proven, current, hands‑on experience using AI tools and agents in a production or business context, with demonstrated practical application rather than theoretical or credential‑based knowledge.
• 1–3 years of software development or programming experience, with the ability to build, test, and implement practical solutions.
• 3+ years of operational experience, with a track record of improving business processes, driving execution, and delivering measurable outcomes.
• Experience operating across business, technology, and people disciplines rather than working exclusively within a single functional area.
• Track record of shipping early‑stage, functional solutions and iterating based on feedback, rather than waiting for a fully polished product.
• Comfort embedding within an operating business unit, working autonomously with minimal day‑to‑day supervision to identify opportunities and deliver results.
• Master’s degree in Data Science, Statistics, Artificial Intelligence, or a related quantitative or technical field.

Salary range: $130,000–$150,000 USD

Fullsteam supports an inclusive workplace that values diversity of thought, experience, and background.

Fullsteam is an Equal Opportunity/Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state, or local law.

Fullsteam: Leading the Evolution of Software and Payments Fullsteam integrates modern and scalable payments technology with vertical software to create industry-specific features and end-to-end business management systems. Fullsteam is a rapidly growing, dynamic, and exciting private equity‑backed software and payments company headquartered in Auburn, AL. The company was formed in 2018 by a core group of talented payments and software experts. Fullsteam is quickly expanding its operations through the acquisition of strategic portfolio companies that could benefit from our cutting‑edge software and payments platform.