NineTwoThree AI Studiois a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture.

We’re a team that loves doing good work with great people. Our relatively small size keeps us fast and nimble. The wealth of knowledge, experience and talent paired with proven recipes and best practices allows us to find opportunities to help new products succeed.

With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more.

Job description

Building, shipping, and supporting AI-powered tools and automations for 923 AI Automation clients. The role sits at the intersection of product thinking and AI engineering — closer to “product manager who builds confidently with modern AI development tools” than “AI research engineer.” You'll work with tools like Claude Code, the Anthropic API, and AI-augmented low-code platforms to deliver real systems to real clients, end-to-end.

You'll probably enjoy this role if you:

Like framing complex, ambiguous problems and working through them to clear solutions
Enjoy ideating, building, and seeing things ship — then explaining clearly how and why they work
Prefer direct interaction with a mentor over distant management
Want autonomy and trust, not oversight for its own sake
Want to understand why you're building something, not just what to build
Are energised by seeing the whole picture — how a project connects to a client's business, a team's operations, and an emerging practice

You'll probably find this role frustrating if you:

Prefer to work deep in code with minimal client or stakeholder contact — the role sits in the middle of client delivery, not behind it
Are looking for a role with highly structured processes, detailed specifications, and predictable work — this department is actively shaping its own way of working, and the person in this seat will be part of that shaping

Requirements

1. Strategy & Growth

Pattern Contribution — Surfacing new approaches, tools, and workflows discovered during client delivery, and contributing them to the department's knowledge base and operating models. Ideas are validated on real client work before they become standard.
Continuous R&D — Spending dedicated, reported hours testing new AI tools, models, and frameworks relevant to active or upcoming client work. Findings are shared with the Practice Lead and the wider department.
Practice Building — Helping shape the way the department works as it scales — contributing to project templates, runbooks, evaluation approaches, and reusable components seeded from real delivered work.

2. Solutions Engineering & Client Delivery

This is the centre of gravity of the role. You'll be working alongside the Practice Lead and Account Manager on scoping, shaping, and solutioning new client engagements, then owning the delivery against those shaped briefs.

Discovery & Shaping Support — Joining discovery calls and shaping sessions with the Practice Lead to translate vague business problems into viable AI-driven solutions. Initially, you'll join these calls to learn the pattern; over time, you'll take more of them directly as direction and confidence grow.
Technical Feasibility — Evaluating client data, systems, and APIs to determine what's genuinely achievable within a proposed time budget. Flagging risks, rabbit holes, and integration blockers early, before commitments are made to the client.
Demo Build-Out — Building working demos for prospective clients that demonstrate the proposed solution against their real problem, ready to be presented on proposal calls.
Proposal & Scope Input — Contributing technical detail to proposals and statements of work — architecture approach, milestones, success criteria — which the Practice Lead translates into client-facing documents.
Client Onboarding & Education — Helping client teams understand and confidently use the systems we deliver. This includes walkthroughs, training sessions where relevant, and clear handover documentation.

3. Technical Execution

You'll own the technical delivery of client projects end-to-end, inside t

AI Automations Product Engineer at NineTwoThree AI Studio