Senior Full Stack Engineer, Ai Products - Stout Strategy

At Stout, we’re dedicated to exceeding expectations in all we do – we call it Relentless Excellence®. Both our client service and culture are second to none, stemming from our firmwide embrace of our core values: Positive and Team-Oriented, Accountable, Committed, Relationship-Focused, Super-Responsive, and being Great communicators. Sound like a place you can grow and succeed? Read on to learn more about an exciting opportunity to join our team. Impact You’ll Make

Flightline started as an AI-native start-up built to rethink how consulting work gets done: how research is gathered, how analysis comes together, and how insight reaches the people making decisions.

In October 2026, Stout, a global advisory firm with more than 30 years of experience and 1,000+ professionals, acquired Flightline to put itself at the forefront of how AI is changing knowledge work. Flightline teamed up with the firm’s strategy consulting practice, Stout Strategy. For 20+ years, Stout Strategy has advised private equity firms and global Fortune 1000 corporates on investment diligence and growth strategy, with over 500 PE processes and more than 1,000 corporate growth strategy assessments behind it.

The combination is rare: technology built the way a start-up builds it, with deep domain expertise in-house to define what great work looks like. That’s how we intend to be the fastest to market, with the highest-quality work.

As a Senior Full-Stack Engineer in our Applied Innovation Group, you get the best of both worlds: working at the frontier of AI and knowledge work, inside a firm with the clients, expertise and scale to make it succeed. Teams across the firm are adopting Flightline quickly, and we’re growing our small team to keep pace. You would join as the third engineer, in a team where everyone covers a lot of ground. You will work closely with the Managing Director, Applied Innovation, who leads the group, and collaborate day to day with the other engineers and our UI/UX and product colleagues, while owning meaningful elements of the platform.

• Work on a real product that consultants use on live client work, across the whole stack, and see the effect of what you ship quickly.
• Own real areas of the platform and grow with them as more teams across the firm adopt it.
• Learn quickly: new domains, new parts of the system and new AI tooling, alongside a small team that will help you get up to speed.
• Turn expert judgment into engineering: the evals, tests and checks that make AI-generated work trustworthy.

What You’ll Do

• Ship features from refined requirements to production across the frontend and the backend.
• Take ownership of areas of the platform, such as a data pipeline, a service or a part of the UI.
• Work on the LLM-backed core of the product, including extraction, retrieval, chat and content generation, and help measure and improve output quality.
• Use AI coding agents as a core part of the development workflow: break work into well-specified tasks, review agent output closely, and take over when writing the code by hand is faster or safer.
• Build the tests, evals and checks that make AI-assisted changes quick to verify and safe to ship.
• Pick up whatever the team needs next, whether that is a bug in unfamiliar code, a new integration or a quick tool for consultants, and learn what you need to do it well.
• Partner with consultants, product and design to sharpen requirements early.

What You’ll Bring

• Five or more years of professional software engineering across the full stack: user interfaces, server-side logic, APIs, data stores and background processing, including running what you build in production. We care more about what you’ve shipped and run than about the number of years.
• Experience in the languages and frameworks you know best. We use React, TypeScript and Python today, but we don’t require any of them. What matters is that you can pick up a new stack quickly, as shown by a track record of getting productive in an unfamiliar codebase, domain or tool and then contributing meaningfully.
• The ability to understand how logic and data flow through a system, and to trace a problem end to end across its components.
• Experience owning an area of a system and seeing it through to production and beyond, with comfort wearing many hats and the judgment to know what matters most right now.
• Daily use of AI coding tools: writing clear specs and acceptance criteria an agent can execute, reviewing output closely, knowing when to write the code by hand, and building the tests and checks that make AI-assisted changes safe to ship, without being dogmatic about any one tool.
• Clear written and spoken communication, including the ability to explain technical trade-offs to consultants without jargon.
• Experience with LLM applications, such as retrieval, structured output, orchestration and context management, and with turning vague quality feedback into testable checks, such as building an eval when an output feels thin.
• Interest in how consultants and deal teams work.

How You’ll Thrive

• Take ownership of problems and areas of the system end to end, and follow them through to production.
• Build the smallest version that proves the point, and cut scope willingly.
• Push back constructively on vague requirements and help product and design make them clearer.Work closely with a small team, take direction on priorities, and speak up when something looks wrong.
• Go deep in an area while staying willing to jump across the stack when the team needs it.
• Ask questions early, learn from the code and the people around you, and share what you learn.
• Write down design notes, decisions and hand-offs so others can pick up the work.
• Stay curious about how consultants use the platform and ask why a feature matters before building it.

Why Stout?

At Stout, we offer a comprehensive Total Rewards program with competitive compensation, benefits, and wellness options tailored to support employees at every stage of life.

We foster a culture of inclusion and respect, embracing diverse perspectives and experiences to drive innovation and success. Our leadership is committed to inclusion and belonging across the organization and in the communities we serve.

We invest in professional growth through ongoing training, mentorship, employee resource groups, and clear performance feedback, ensuring our employees are supported in achieving their career goals.

Stout provides flexible work schedules and a discretionary time off policy to promote work-life balance and help employees lead fulfilling lives.

Learn more about our benefits and commitment to your success.

The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.

Stout is an Equal Employment Opportunity. All qualified applicants will receive consideration for employment on the basis of valid job requirements, qualifications and merit without regard to race, color, religion, sex, national origin, disability, age, protected veteran status or any other characteristic protected by applicable local, state or federal law.

Stout is required by applicable state and local laws to include a reasonable estimate of the compensation range for this role. The range for this role considers several factors including but not limited to prior work and industry experience, education level, and unique skills. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

A reasonable estimate of the current range is $87,000.00 - $195,000.00 Annual. This role is also anticipated to be eligible to participate in an annual bonus plan. Information about benefits can be found here -

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