AI Automations Product Engineer

NineTwoThree AI Studio

1d • Remote

About The Position

NineTwoThree AI Studio is 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.

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.

Requirements

• 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.
• Python-first stack, typically lightweight web frameworks (FastAPI, Gradio) and serverless runtimes (AWS Lambda).
• Balancing accuracy, cost, latency, and privacy against the client's real constraints.
• Source control conventions, commit and PR protocols, secrets management, environment setup, and handover protocols.
• Tickets are written by the Practice Lead during onboarding; over time, you'll draft your own and the Practice Lead will review.
• The Account Manager owns the relationship; you own technical clarity.
• Friction with the tooling is surfaced to the Practice Lead rather than worked around.
• Ideas, improvements, and concerns flow through the Practice Lead, who carries them forward to the wider 923 leadership team as appropriate.

Nice To Haves

• 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
• 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

Responsibilities

• Surfacing new approaches, tools, and workflows discovered during client delivery, and contributing them to the department's knowledge base and operating models.
• Spending dedicated, reported hours testing new AI tools, models, and frameworks relevant to active or upcoming client work.
• 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.
• Working alongside the Practice Lead and Account Manager on scoping, shaping, and solutioning new client engagements, then owning the delivery against those shaped briefs.
• Joining discovery calls and shaping sessions with the Practice Lead to translate vague business problems into viable AI-driven solutions.
• Evaluating client data, systems, and APIs to determine what's genuinely achievable within a proposed time budget.
• Building working demos for prospective clients that demonstrate the proposed solution against their real problem, ready to be presented on proposal calls.
• Contributing technical detail to proposals and statements of work — architecture approach, milestones, success criteria.
• Helping client teams understand and confidently use the systems we deliver.
• Owning the technical delivery of client projects end-to-end, inside the department's established approach.
• Standing up new client projects — repository, environments, tooling, third-party accounts — following the department's conventions.
• Designing the architecture of individual projects in line with 923's engineering and deployment standards.
• Designing the end-to-end system: how data flows in, how AI components fit into the pipeline, where humans sit in the loop, what the output looks like, and how the user actually engages with it.
• Making considered decisions about when to use agentic approaches versus deterministic pipelines versus human-in-the-loop steps.
• Writing the code that makes the system work, using AI development tools fluently.
• Designing and refining the prompts, system instructions, and model choices that drive AI behaviour.
• Cleaning, structuring, and processing client data into a form the AI layer can work with.
• Building the ingestion and processing layers that feed the AI components.
• Working directly with 923's DevOps team to deploy services to client cloud accounts following 923's deployment standards.
• Testing AI outputs against real client data before go-live.
• Building the dry-run and validation patterns that let clients sign off on output quality before we enable production writes.
• Working from the department's Monday.com board, following established task, branch, and PR conventions.
• Joining and running technical portions of weekly client meetings.
• Submitting clean PRs that pass pre-commit checks and link to tracked work.
• Engaging in constructive, question-based review with the Practice Lead and 923 engineering peers.
• Testing AI outputs for failure modes, hallucinations, and edge-case behaviour before anything reaches a client.
• Implementing the validation patterns the department uses to build client trust.
• Completing the delivery checklist before any project closes — documented architecture, credentials handover, runbook, walkthrough video, and third-party account transfer to client billing.
• Using the department's stack — Monday.com for tasks, Notion for capture, Harvest for time, Slack for communication, Fathom for meeting intelligence, the department's Claude skill library for recurring workflows.
• Contributing to the department's operating model and shared framework as patterns stabilise from real delivery.

Benefits

• Annual paid vacation: 20 working days per year during the first 3 years, further increasing to 25 days in later years
• Paid sick leave and holidays
• Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager)
• Well-being budget
• Health Insurance allowance
• strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed