We are looking for an Applied AI Engineer to help us make Foley truly AI-native — not by layering tools on top, but by rethinking how work gets done across the company.

You’ll operate as a forward-deployed builder, embedded with business teams to identify high-leverage problems and ship real solutions. This is a hands-on role where you’ll design, build, and deploy AI-powered systems that improve how we operate, make decisions, and deliver value.

This is not a research role. You build, you ship, and you measure impact.

What You’ll Do

Build & Ship Solutions

• Design and build AI-powered systems end-to-end, including agentic workflows, internal tools, automation pipelines, and business applications

• Own your work from concept through production, including iteration and improvement

• Use AI-assisted development and modern tooling to move quickly without sacrificing quality

Embed with the Business

• Work directly with operations, compliance, sales, and product teams to understand real workflows and pain points

• Translate ambiguous, messy processes into clear, scalable systems

• Operate as part of cross-functional “tiger teams” focused on high-impact problems

Drive Outcomes, Not Just Output

• Define success metrics and measure whether your solutions improve speed, quality, or decision-making

• Close the loop by evaluating what worked, what didn’t, and what to improve

Build for Scale & Reuse

• Design composable solutions that integrate into the broader platform

• Think in reusable capabilities, not one-off scripts

Operate with Judgment & Guardrails

• Build with awareness of regulatory constraints (DOT, FMCSA, PII)

• Apply strong judgment when using AI to ensure quality, trust, and compliance

Contribute to the Builder Community

• Share patterns, tools, and learnings with other engineers and teams

• Review work and help raise the bar for how we build

Who You Are

We’re looking for builders who think in systems and care about outcomes. You may come from different paths, but you share a common trait: you build things that work.

You might come from:

• Data Science → GenAI Builder: You moved from analysis to building production systems

• Business-Facing Engineer: You bridge technical execution and business context

• Domain Expert Turned Builder: You started in a business function and taught yourself to build solutions

Must-haves

• You have built and shipped real products, tools, or systems (portfolio, GitHub, or equivalent)

• You are fluent in Python, including APIs, data handling, and deployment patterns

• You have hands-on experience building with LLMs (e.g., prompting, tool use, RAG, agents)

• You think in systems and can map business workflows to technical solutions

• You communicate clearly with both technical and non-technical stakeholders

Strong Signals

• You’ve built and deployed multi-step or tool-using AI systems

• You’ve worked with orchestration frameworks (e.g., LangGraph, CrewAI, MCP)

• You’ve built solutions involving document processing, structured extraction, or voice

• You’ve implemented observability for AI systems (e.g., Langfuse, LangSmith)

• You understand knowledge graphs or entity resolution

• You’ve worked in regulated environments (transportation, finance, healthcare, compliance)

• You’ve independently taken a process from “this is broken” to a shipped solution

Not Required

• A specific degree or traditional background

• Experience at large tech companies

• ML research or publications

• Deep infrastructure or DevOps specialization

Location: This role is primarily remote (US based only), with the expectation of occasional visits to our offices for team collaboration, training, or company events.

This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Massachusetts, Michigan, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Wisconsin.

About us

At Foley, we’re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We’ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer.

As we continue to grow, we’re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that’s passionate about building great products and supporting customers. Our core values — Teammateship, Grit, and Innovation — guide everything we do. Whether we’re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success.

Benefits
Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program.

Equal Employment Opportunity
Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic.

Reasonable Accommodations
If you require a reasonable accommodation during the application or interview process, please contact us at careers@foley.io

Employment Status
Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Privacy Policy: Please see our Applicant Privacy Policy for more information on how Foley processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.