AI Automation Product Engineer

🕒 August 4

🌐 United States, Ireland, +2 more countries – Remote

🇺🇸 United States – Remote 🇮🇪 Ireland – Remote 🇪🇸 Spain – Remote 🇳🇱 Netherlands – Remote

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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NineTwoThree Studio

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

NineTwoThree Studio is an award-winning software design, engineering, and marketing studio headquartered in Boston, MA. The company specializes in building AI, web, and mobile applications for established brands and funded startups. With a focus on agile methodology, design thinking, and impeccable engineering, NineTwoThree Studio provides custom software development, generative AI, machine learning, and go-to-market strategies. They are known for their innovative solutions that help brands scale and iterate, supported by a team of 70 experts. The studio has successfully built 75 products and 14 startups, earning recognition as the #1 Boston Agency for four years in a row. They work across multiple industries, offering services in design sprints, product strategy, and mobile app development.

📋 Description

• Build, ship, and support AI-powered tools and automations for clients • Join discovery calls and shaping sessions to translate vague business problems into viable AI-driven solutions • Evaluate client data, systems, and APIs for technical feasibility and identify risks and integration blockers • Build working demos for prospective clients • Contribute technical details to proposals and statements of work • Help client teams understand and use delivered systems through walkthroughs, training, and handover documentation • Set up repositories, environments, tooling, and third-party accounts for new projects • Design end-to-end systems, including data flows, AI pipelines, human-in-the-loop steps, outputs, and user interactions • Choose between agentic approaches, deterministic pipelines, and human-in-the-loop processes • Write code for client systems using AI development tools • Design prompts, system instructions, and model choices while balancing accuracy, cost, latency, and privacy • Clean, structure, and process client data for AI systems • Deploy services to client cloud accounts with the DevOps team • Test AI outputs against real client data before production and establish observability • Track projects using Monday.com and follow task, branch, and PR conventions • Join and run technical portions of weekly client meetings • Submit clean pull requests and participate in code reviews • Test AI outputs for failure modes, hallucinations, and edge cases • Complete delivery checklists, architecture documentation, credential handover, runbooks, walkthrough videos, and third-party account transfers • Contribute validated tools, workflows, templates, runbooks, evaluation approaches, reusable components, and operating-model improvements to the department

🎯 Requirements

• Frame complex, ambiguous problems and develop clear solutions • Ideate, build, ship, and explain AI-powered systems • Work directly with clients and stakeholders • Contribute new AI approaches, tools, workflows, templates, runbooks, evaluation methods, and reusable components • Conduct continuous R&D on AI tools, models, and frameworks • Participate in discovery, solution shaping, technical feasibility assessment, demos, proposals, onboarding, and client education • Own technical delivery of client projects end-to-end • Use a Python-first stack, typically FastAPI, Gradio, and AWS Lambda • Fluency with AI development tools, including Claude Code, Anthropic API, and AI-augmented low-code platforms • Design prompts, system instructions, and select models • Clean, structure, ingest, and process client data • Understand agentic systems, deterministic pipelines, and human-in-the-loop design trade-offs • Deploy services to client cloud accounts using source control, commit and PR protocols, secrets management, environment setup, and handover protocols • Test AI outputs for hallucinations, failure modes, and edge cases • Use Monday.com, Notion, Harvest, Slack, Fathom, and the department's Claude skill library • Follow established task, branch, PR, documentation, and delivery conventions • Participate in client meetings, code reviews, and quality assurance • Complete required project handover documentation

🏖️ Benefits

• 100% remote job • 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 • Tightly-knit team of professionals with a good sense of humor