Who You Are
You're a senior engineer who is just as comfortable in a conference room as you are in a codebase. You can sit across from a CEO, COO, or CFO, understand their business, and translate a vague "we should do something with AI" into a concrete, sequenced plan that creates measurable value — and then go build it.
You have a strong technical foundation: a history of shipping real software (frontend, backend, or full stack) using databases, message queues, APIs, and cloud infrastructure. You've also leaned hard into modern AI tooling — you use LLMs and agentic coding tools daily to compress what used to take weeks into days, and you can tell the difference between a flashy demo and something that will actually hold up in production.
You can read a room and a requirements doc with equal skill. You explain technical tradeoffs to non-technical executives without condescension, and you're energized — not drained — by client interaction. You can operate autonomously, drive ambiguous work to a decision, and you can also slot cleanly into a sprint team on a long-lived project and follow its rhythms.
You have a powerful desire to learn and a low tolerance for hype. You're available to support production environments when they have issues, even at odd hours if necessary.
The Role
This is a dual-mode role, and that's the point. On any given week you might be:
- In "forward-deployed" mode — embedded with multiple AI Office clients, scoping opportunities, advising leadership, and rapidly building AI-powered tools (copilots, automations, integrations, reporting workflows) that deliver value in days or weeks, not quarters.
- In "traditional delivery" mode — contributing as a senior developer on a legacy or long-running project that follows conventional sprints and a full software development lifecycle: architecture, estimation, code review, and steady, durable engineering.
We're technology-agnostic and outcome-obsessed. For each engagement we pick the best tools for the job, and we expect you to do the same — including knowing when not to use AI. Your clients will rely on you to solve their most complex challenges and deliver results they can point to.
What You'll Do
Consult & advise (client-facing)
- Meet with clients in person and remotely to understand their business, operations, and goals — then identify the highest-value AI and automation opportunities (we target at least 3X ROI).
- Translate business problems into technical plans, and technical tradeoffs into language executives can act on.
- Participate in scoping, prioritization, and roadmap sessions; help shape AI Sprints (fixed-fee, 2–10 weeks) and longer engagements.
- Build trust as the senior person in the room and keep delivery tied tightly to client needs.
Build fast with AI
- Use LLMs and agentic coding tools to deliver quick-turnaround, value-additive work: copilots, internal AI tools, document and email automation, retrieval/RAG systems, data and reporting integrations, and pricing or workflow assistants.
- Ship working solutions — not demos — with appropriate documentation, testing, and a clean handoff.
- Integrate AI into a client's existing systems and data without breaking what already works.
Enable & teach
- Coach client teams and leaders on how to use existing LLM tools (Claude, ChatGPT, and others) effectively and responsibly in their day-to-day work.
- Help clients build the habits, guardrails, and adoption that make AI stick after we leave the room.
Deliver on traditional & legacy projects
- Develop custom software and complex features; assist in the design and review of architecture on both new and existing systems.
- Break work into assignable items, estimate effort and schedule, and operate within established sprint and SDLC processes.
- Investigate customer issues, perform debugging by reviewing configuration files, logs, and code, and recommend practical fixes.
- Support deployments to cloud environments, including monitoring and maintenance.
Lead & mentor
- Review team members' work via pull/merge requests and give constructive feedback.
- Develop junior engineers' ability to work through problems, interact with clients, and design practical solutions.
- Create design documents, architectural diagrams, and key project artifacts to support onboarding and delivery.
- Meet with operations leaders to discuss project goals, solution quality, schedule, progress, and the overall client relationship.
What We're Looking For
Required
- Senior-level experience building and shipping software (frontend, backend, or full stack), including databases, APIs, and cloud deployment on AWS and/or Azure.
- Demonstrated, hands-on use of LLMs and AI coding tools to deliver real work — not just experimentation.
- Excellent communication and client-facing skills; comfort presenting to and advising business and executive stakeholders.
- A consultative, business-first mindset: you start from the outcome and work back to the technology.
- Ability to work effectively both autonomously and within a structured team and sprint process.
- Familiarity with Linux and Windows systems and the deployment, monitoring, and maintenance of applications.
Nice to have
- Prior experience in consulting, professional services, or a forward-deployed / solutions-engineering role.
- Experience building production AI features: prompt engineering, RAG, evaluations, agents, and integrating LLM APIs.
- Domain exposure to middle-market operations, and/or hospitality, entertainment, restaurants, venues, or PE-backed businesses.
- A track record of mentoring engineers and growing their client and design skills.
Our Tech & Tools
We're technology-agnostic and choose the best tool per project. Common technologies, tools, and libraries we use include C#, ASP.NET Core, Python, Django, JavaScript, TypeScript, HTML5, CSS3, Azure DevOps, GitLab, Docker, AWS, Azure, SQL Server, PostgreSQL, and MySQL. On the AI side, we work with leading LLMs and assistants (Claude, ChatGPT/OpenAI, and others), agentic coding and automation tools, vector/RAG stacks, and a range of integration and automation platforms.