AI Engineer

Who we are

Active is Built to Accelerate—a category-defining Agentic Intelligence Native Services (AINS) company that equips the teams closest to the work, accelerates business outcomes and builds advantage that compounds. We’ve been named one of the 2026 Inc. 5000’s Top 40 fastest-growing companies in AI & Data and 723 overall in the US.

Expert humans lead. Powerful agents extend what we can accomplish. We scale for velocity, not vanity—and that starts with our people. We expect exceptional judgment, uncompromised excellence and uncommon speed. Think independently. Challenge assumptions. Act decisively. Own the result, not just your assignment. Work without ego, and never confuse activity with impact.

In return, you get meaningful ownership, a voice that can change the direction, direct access to proven leaders and the freedom to build—not simply execute someone else’s instructions. We put decision-making power close to the work and back it with context, trust and clear accountability. Your scope can expand as fast as you demonstrate the ability to carry it; your trajectory is driven by contribution, not tenure or organizational politics.

High-potential talent is welcome. Bring intellectual horsepower, relentless curiosity, pride in your craft and the ambition to take on work bigger than your current title. You do not need to arrive with every answer. You do need to learn fast, seek feedback, honor commitments and make the people around you better. Our agentic teammates amplify that capability; they do not replace your judgment or excuse a lower standard.

This is not a place to coast on a résumé, protect a title or rest and vest. It is a place to do consequential work, earn extraordinary responsibility and grow alongside people who expect as much of themselves as they do of you.

Human-led. AI-powered. Precision-built.

The bar is high. There is no ceiling.

Who you are

As an AI Engineer at Active, you build the software and agentic workflows that do real work inside a client’s business, and you own what you build from the first conversation with the people who will use it to the day it runs in production. Engagements start with a problem stated in plain terms, such as “our growth is outpacing our team’s capacity” or “patients drop off before the first visit.” Your job is to turn a problem like that into something that works, in systems you did not design, on a small team that expects you to make decisions.

You will be trusted with a production outcome early, and you will have senior engineers and consultants working beside you while you carry it. Most days you write code. Some days you sit with a claims analyst or a marketing operations lead until you understand why the work stalls where it does. Along the way you will learn how to take an ambiguous business problem apart, how enterprise systems behave when they meet agents, and how to tell a client something they did not want to hear. You do not need to arrive knowing all of that, as long as you want to learn it fast.

We are looking for someone to do the following:

• Embed with client teams, on site and remotely, to learn how the work moves today: the systems, the handoffs, the exceptions and the approvals
• Build and ship production components of agentic workflows, including API services, tool integrations, data pipelines and the deterministic steps that run between agent decisions
• Implement agent capabilities with current LLM tooling (prompts, tool definitions, MCP servers, retrieval, sub-agents and skills) inside the permissions and review gates agreed for the engagement
• Connect to the client’s systems of record, such as CRM, marketing automation, ERP, EHR and data warehouse platforms, through governed, least-privilege interfaces
• Build the human checkpoints into the workflow (approve, hold, escalate, override) so consequential decisions reach a named person with the context to make them
• Write automated tests and evaluations for agent behavior, and instrument every action so it can be traced to an owner and a control
• Measure what you ship against the agreed baseline: cycle time, throughput, exception rates and cost per completed workflow
• Monitor workflows in production, triage exceptions and fix what breaks, including when the cause sits in someone else’s system
• Use AI coding agents as part of daily development and review their output to the same standard as your own
• Demo working software to client users and stakeholders early and often, and change course based on what you hear
• Write the documentation and runbooks a client engineer needs to operate and extend the work without calling you
• Contribute connectors, components and test patterns back to Active’s shared foundation for the next engagement to reuse

What you will need to be successful

• Bachelor’s degree in computer science, engineering, math or a related field, or 2+ years of professional experience building software in lieu of a degree
• Strong coding ability in Python and at least one of TypeScript or Java, shown in software you have shipped
• Hands-on experience building with LLMs (tool use, structured outputs, agents), at work or in serious projects of your own
• The habit of making decisions with incomplete information and moving without being told what to do next
• Ability to explain technical decisions clearly to people who are not engineers
• Willingness to travel to client sites as engagements require

Additional preferred qualifications

• Experience in a client-facing technical role in consulting, professional services, solutions engineering or an early-stage startup
• Familiarity with agent frameworks, MCP, retrieval pipelines or LLM evaluation tooling
• Experience with cloud platforms (AWS, Azure or GCP), SQL, containers and CI/CD
• Experience integrating enterprise platforms such as Salesforce, ServiceNow, Snowflake or Databricks
• Exposure to regulated environments, including familiarity with FHIR and healthcare interoperability standards

Closing

• Not every strong candidate will match every line above. If the work described here is the work you want to do, apply and tell us what you would bring.
• Active Digital is committed to a diverse and inclusive workplace. Active Digital is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
• If you need a reasonable accommodation at any point in the application or interview process, let us know and we will work with you.