NineTwoThree AI Studio

Role Description If you’re looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you’ll love it here. What You’ll Do: - Lead, not just code — Seniors at NineTwoThree don’t just write great code—they lead projects, guide teams, and ensure execution quality. - Connect the dots between product vision, technical feasibility, and business needs. - Communicate options, trade-offs, costs, and timelines clearly to both our team and client. - Lead projects end-to-end — from technical strategy to execution. - Architect solutions and apply best practices for scalable, AI-powered products. - Guide and mentor engineers, ensuring quality while delivering fast. - Translate business needs into technical decisions, explaining trade-offs and timelines. - Solve hard problems, direct implementation, and coordinate technical challenges with clients. Qualifications - True senior engineers — not just people with years of experience, but those who own solutions and drive execution. - 5+ years of experience in Full Stack Software Development (React, Node.js, JavaScript, TypeScript, SQL). - Strong knowledge of cloud platforms (AWS, Azure or GCP). - Clear and thorough understanding of design patterns and software development best practices. - Great communicators who can explain options, trade-offs, and technical details to clients and teams. - Ability to break down complex problems into manageable tasks. - Passion maintaining code style and standards and holding people accountable. - Hands-on experience with microservices architecture. - Experience with React.js, Node.js, JavaScript and Typescript (at least 5 years). - RESTful API design and implementation. - OAuth and single sign-on (SAML). - Leaders who ensure execution quality, push teams forward, and keep projects on track. - Strong communication and analytical skills. - Relational and no-SQL databases — MySQL, PostgreSQL, Redis etc. - Solid understanding of principles of JavaScript/TypeScript languages. - Ability to freely express/present/discuss ideas in English (B2-C1 level). - Flexibility with working hours to participate in meetings with Eastern USA. Requirements - 🚫 Not for you? If you’re looking for a pure coding role where someone else makes the decisions, this isn’t it. Benefits - Annual paid vacation: 20 days-off per year during the first 3 years, further increasing to 25 days in later years. - Paid sick leave, 10 national holidays and 2 company days-off. - Well-being budget. - Maternity/paternity leave. - Accounting assistance. - Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager). - Hardware upon business needs. - Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor. Company Description Join NineTwoThree AI Studio, a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for big brands and fast-moving startups. We’ve been growing 20% every year for the last 5 years, which means there’s plenty of room for career growth and promotions. Our work speaks for itself—some of our customers found us through five layers of referrals. That’s how much people appreciate what we do. We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you’re into gambling, adult entertainment, or crypto, we’re not your place.

Role Description As an ML Engineer at NineTwoThree AI Studio, you will sit at the intersection of production-grade software engineering, advanced natural language processing, and client delivery. We build custom, high-impact AI systems for brands and startups across diverse industries (such as healthcare, logistics, and fintech). Instead of siloed academic research, this role demands a product-minded builder. You will: - Design, optimize, and deploy robust LLM applications, custom predictive analytics, and agentic workflows directly into our clients' software ecosystems. - Take absolute ownership of features from prototype to production. Technology Stack - Core Frameworks & Arch: Transformer models, modern LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.), Open-Source LLMs. - Orchestration & Agentic Design: Experience designing LLM workflows, agentic systems, or retrieval pipelines using frameworks such as Langchain, LangGraph, LlamaIndex, or equivalent approaches. - Data & Search: Vector databases (Pinecone, pgvector, Milvus, Qdrant, etc.), SQL, and data engineering pipelines. - Traditional ML: Supervised and Unsupervised learning (Classification, Regression, Anomaly Detection). - Cloud & Infrastructure: AWS (Lambda, SageMaker, Bedrock, EC2) and modern DevOps/retraining pipelines. - Languages: Production-grade Python. Responsibilities - Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines. - Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment. - Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints. - Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy. - Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection). - Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams. - Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base. Requirements - Proven Track Record: 3+ years of experience engineering software with a strong focus on machine learning and natural language processing. - LLM & Generative AI Mastery: In-depth understanding of modern LLM architectures, context window mechanics, semantic search techniques, and the limitations of generative systems. - Production experience: Experience building and operating production AI systems, including monitoring, evaluation, debugging, and iterative improvement. - Evaluation experience: Understanding of evaluation methodologies for LLM-based systems, including retrieval quality, hallucination detection, and task-specific performance measurement. - Python & SQL Proficiency: Exceptional Python coding skills and the ability to query, clean, and structure data efficiently. - Cloud Infrastructure: Hands-on experience deploying ML or API services within cloud ecosystems, preferably AWS. - Ownership: Comfortable taking ownership of ambiguous problems from initial discovery through production deployment and ongoing support. Product & Team Capabilities - Ambiguity to Execution: Ability to drop into a completely new industry vertical, understand its data constraints, and spin up a working proof-of-concept within a few weeks. - The "Product Engineer" Mindset: Passion for seeing things ship and understanding why something is being built from a business value standpoint, not just what is being built. - Communication: Fluent written and spoken English. Comfortable interacting with client stakeholders and breaking down technical workflows into clear concepts. - Adaptability: Eagerness to experiment with and evaluate fast-emerging AI development tools, models, and frameworks. - Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience). Benefits - Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years. - Paid sick leave, 10 national holidays, and 2 company days off. - Well-being budget. - Maternity/paternity leave. - Reimbursement of expenses for professional development courses and certifications (up to 100% in agreement with Manager). - Hardware upon business needs. - Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor. What's The Process We value your time and ours and make the process fast and easy. Our interview process takes the following steps: - A short interview with the HR. - 2nd technical interview with ML Engineer and CTO (optional). - 3rd live-coding interview. - Offer.

Role Description As an ML Engineer at NineTwoThree AI Studio, you will sit at the intersection of production-grade software engineering, advanced natural language processing, and client delivery. We build custom, high-impact AI systems for brands and startups across diverse industries (such as healthcare, logistics, and fintech). Instead of siloed academic research, this role demands a product-minded builder. You will: - Design, optimize, and deploy robust LLM applications, custom predictive analytics, and agentic workflows directly into our clients' software ecosystems. - Take absolute ownership of features from prototype to production. Technology Stack - Core Frameworks & Arch: Transformer models, modern LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.), Open-Source LLMs. - Orchestration & Agentic Design: Experience designing LLM workflows, agentic systems, or retrieval pipelines using frameworks such as Langchain, LangGraph, LlamaIndex, or equivalent approaches. - Data & Search: Vector databases (Pinecone, pgvector, Milvus, Qdrant, etc.), SQL, and data engineering pipelines. - Traditional ML: Supervised and Unsupervised learning (Classification, Regression, Anomaly Detection). - Cloud & Infrastructure: AWS (Lambda, SageMaker, Bedrock, EC2) and modern DevOps/retraining pipelines. - Languages: Production-grade Python. Responsibilities - Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines. - Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment. - Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints. - Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy. - Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection). - Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams. - Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base. Qualifications - 3+ years of experience engineering software with a strong focus on machine learning and natural language processing. - In-depth understanding of modern LLM architectures, context window mechanics, semantic search techniques, and the limitations of generative systems. - Experience building and operating production AI systems, including monitoring, evaluation, debugging, and iterative improvement. - Understanding of evaluation methodologies for LLM-based systems, including retrieval quality, hallucination detection, and task-specific performance measurement. - Exceptional Python coding skills and the ability to query, clean, and structure data efficiently. - Hands-on experience deploying ML or API services within cloud ecosystems, preferably AWS. - Comfortable taking ownership of ambiguous problems from initial discovery through production deployment and ongoing support. Requirements - Ability to drop into a completely new industry vertical, understand its data constraints, and spin up a working proof-of-concept within a few weeks. - Passion for seeing things ship and understanding why something is being built from a business value standpoint, not just what is being built. - Fluent written and spoken English. Comfortable interacting with client stakeholders and breaking down technical workflows into clear concepts. - Eagerness to experiment with and evaluate fast-emerging AI development tools, models, and frameworks. - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience). Benefits - Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years. - Paid sick leave, 10 national holidays, and 2 company days off. - Well-being budget. - Maternity/paternity leave. - Reimbursement of expenses for professional development courses and certifications (up to 100% in agreement with Manager). - Hardware upon business needs. - Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor. What's The Process We value your time and ours and make the process fast and easy. Our interview process takes the following steps: - A short interview with the HR. - 2nd technical interview with ML Engineer and CTO (optional). - 3rd live-coding interview. - Offer.

Role Description If you’re looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you’ll love it here. What You’ll Do: - Contribute to preparing project plans, including scope, objectives, deliverables, timelines, and resource requirements. - Organize and maintain project boards to keep tasks visible and updated. - Track project progress to ensure all deadlines are met, escalating issues when necessary. - Maintain comprehensive project documentation, including meeting notes, status reports, and project schedules. - Participate in daily stand-up meetings to ensure team alignment and address blockers. - Collaborate with senior team members to balance trade-offs between scope, schedule, and quality. - Test the system or product features before releases to confirm they meet acceptance criteria and quality standards. - Serve as a communication link between the development team and the Product Manager or Senior Project Manager. - Ensure stakeholders receive timely updates and clarity on project progress, scope changes, and potential delays. - Work with senior PMs and the development team to estimate effort and resource requirements. - Communicate with and support Senior Project Manager. Qualifications - At least 1 year of experience managing software development projects. - Basic understanding of web-application development. - Proficient in English (Upper-Intermediate level or higher). - Understanding of Agile methodology (Scrum, Kanban). - Theoretical knowledge of user stories and user flow drawing. - Excellent verbal and written communication skills. - Successfully completed IT PM courses. - Desire to understand how the apps are built in detail. - Strong PM theoretical knowledge. Requirements - Energetic and self-motivated personality. - High level of self-organization, responsibility, and attention to detail. - Goal orientation, team player attitude. - Willingness to learn quickly. Benefits - Annual paid vacation: 20 days-off per year during the first 3 years, further increasing to 25 days in later years. - Paid sick leave, 10 national holidays and 2 company days-off. - Well-being budget. - Maternity/paternity leave. - Accounting assistance. - Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager). - Hardware upon business needs. - Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor. What's The Process We value your time and ours and make the process fast and easy. - Interview with HR - Interview with Head of PM - Small live test challenge (optional) - Call with CTO and COO - Offer Join us!

Role Description We are seeking a Senior UI/UX Designer to join our design team. In this role, you will create intuitive, user-centered, and efficient-to-build experiences for AI-driven platforms, mobile apps, and web applications. You will work closely with product managers, engineers, and other stakeholders to develop solutions that balance user needs and business goals. You will also get to design for products across all sorts of industries and platforms, making this an exciting place to exercise your design muscles. Most of what we build is internal and enterprise tooling, so we optimize for clarity, speed, and reduced engineering effort, not visual novelty. This role requires a high level of creativity, collaboration, and attention to detail. The ideal candidate has a strong background in UI/UX design, an obsession with systematizing and speeding up the whole team's work, and a passion for usable interfaces that engineers can ship quickly. Key Responsibilities - Lead the end-to-end design process, for client projects and the NineTwoThree brand, from concept to developer-ready handoff. - Work inside our existing component system (Chakra UI and its Figma UI Kit): reuse and extend it, customizing per client with minimal divergence and minimal engineering rework, instead of reinventing components. - Produce wireframes, prototypes, and high-fidelity UI in Figma to communicate solutions and test hypotheses. - Conduct competitive analysis and usability testing to validate decisions, favoring familiar, proven patterns over trends. - Treat developer implementation cost as a first-class design constraint: prefer the solution that ships fastest from our component library over the one that looks the most novel. - Innovate in information architecture and layout: decide what to surface, what to hide, and where things live, so the main workspace gets the screen space rather than endless menus, filters, and navigation. - Collaborate with product managers, engineers, and stakeholders to translate complex requirements into usable designs, and defend your decisions with user needs and business goals. - Speed up the design process with AI tools, and help raise the team's craft and design culture. Qualifications - At least 5 years of experience as a UI/UX Designer, with a strong portfolio showcasing knowledge of UX principles, user flows, and designing data-dense internal tools, admin panels, dashboards, or B2B/enterprise applications (not only consumer or brand work). - Experience working in structured, fast-paced environments with clear processes, tight deadlines, and asynchronous collaboration across departments, comfortable managing multiple projects at once. - Experience working as part of a multi-designer team, contributing to shared systems and giving/receiving design feedback. - Proven ability to design within an established component library (Chakra UI, MUI, Ant Design, or similar), with a working sense of how design choices translate into front-end (React/Chakra) implementation effort. - Proficiency in Figma, including team libraries, auto layout, component properties, and prototyping. - Solid understanding of user-centered design principles and usability best practices. - Knowledge and experience with Google Material and Apple Design Guidelines. - Strong fundamentals in layout, grids, information hierarchy, and responsive/interactive design. - Excellent written and spoken English (Upper-Intermediate or higher) for remote collaboration. - Experience designing for AI-driven web and mobile applications. - Attention to detail and a strong sense of usability and information hierarchy. Requirements - Proven experience designing complex, data-intensive platforms and interfaces. - Familiarity with React or front-end fundamentals. - Experience shipping internal tools or enterprise software. Benefits - 100% remote job – work from anywhere. - Annual paid vacation – 20 working days per year, increasing to 25 days after three years. - Paid sick leave and holidays. - Flexible working hours. - Well-being budget to support your personal growth. - Maternity/Paternity leave. - Reimbursement of professional development courses/certifications (up to 100% with managerial approval). - Hardware provided based on business needs. - A strong, positive engineering culture with a tightly-knit, collaborative team that values quality and creativity. Hiring Process We value your time and ours and make the process fast and easy. Our interview process takes the following steps: HR interview, test challenge, technical interview with COO/CTO and Head of Product, Offer.

Role Description We're hiring a Marketing Operations Manager to be the calm, organized backbone of our marketing engine. - Own the project boards, production calendars, cross-team handoffs, email program, reporting, and day-to-day operational rhythm. - Ensure the status of every initiative is known without having to ask. - Manage the website's production calendar, scoping requests, and booking necessary hours. - Orchestrate the people who execute creative or technical tasks. - Focus on systems, checklists, automated workflows, and email marketing. - Work directly with the Marketing Team Lead, Content Marketing Manager, designers, developers, QA team, and AI engineering team. Key Responsibilities - Own Monday.com and Notion; build, maintain, and improve marketing boards. - Own the email program in HubSpot; build and send newsletters, nurture sequences, and lifecycle automations. - Book and coordinate developer, designer, and QA hours. - Run production workflows across various platforms. - Build and run workflow automations using various tools. - Manage the website production pipeline. - Maintain the marketing tech stack and document integrations. - Own reporting; keep dashboards current and trustworthy. - Run the operational rhythm with regular status updates and audits. Qualifications - 3–6 years in marketing operations, email marketing, lifecycle marketing, or project coordination. - Deep expertise in HubSpot and email marketing. - Genuine fluency with workflow automation tools. - Fluency in Monday.com and Notion. - Comfortable with Webflow at the CMS level. - Strong project management instincts. - Detail-oriented with a focus on accuracy. - Calm under pressure and self-driven. - Advanced proficiency in English. - Bachelor's degree in Marketing, Communications, Business, Operations, or equivalent experience. Nice-To-Have (Not Required) - Experience inside an agency or studio environment. - HubSpot certifications. - Hands-on experience with Claude, Claude MCPs, or other LLM-driven automation. - Experience with podcast or video production workflows. - SEO operational support experience. - Experience managing freelancers and external vendors. - Basic HTML/CSS knowledge for QA of developer-built pages. Benefits - Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years. - Paid sick leave, 10 national holidays, and 2 company days off. - Well-being budget. - Maternity/paternity leave. - Reimbursement of expenses for professional development courses and certifications. - Hardware provided based on business needs. - Strong positive engineering culture with a tightly-knit team. Tools & Software - HubSpot (deep, daily use). - Monday.com (deep). - Notion (deep). - AirOps / Zapier / Make / n8n (fluent in at least one). - Claude / Claude MCPs (curiosity required). - Webflow (CMS-level). - Figma (working knowledge). - Google Analytics / DataBox (working knowledge). - Ahrefs / SurferSEO (basic knowledge). - Slack and Google Workspace (daily use). What We Offer Join us in our mission to drive change and contribute to a brighter future through innovation and hands-on experience.

Role Description If you're looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you'll love it here. We're hiring a Content Marketing Manager to own and scale our organic growth engine. This is a hands-on, senior-minded role for someone who writes exceptionally well, thinks in systems, and treats AI as a force multiplier rather than a novelty. You'll own the content strategy, the SEO and AEO roadmap, the email program, and the AI-powered workflows that tie it all together. You'll work directly with our Marketing Team Lead, our designers, our developers, and our AI engineering team to turn deep technical expertise into content that ranks, converts, and compounds. Organization and project management are non-negotiable. We move fast, but we don't do chaos. Key Responsibilities - Own the content strategy. Build and run a content engine across blog, email, social, and gated assets that drives traffic, engagement, and qualified leads. - Drive SEO and AEO. Run keyword research, on-page optimization, and technical SEO monitoring. Build our backlink profile through outreach and digital PR. - Build AI-powered marketing workflows. Use AirOps, Claude, Claude MCPs, and prompt engineering to scale content production, research, and distribution. - Write exceptional copy. Blog posts, landing pages, case studies, whitepapers, email sequences, social posts, lead magnets. - Create new offers and lead magnets. Bring ideas for how we package our expertise into assets that convert. - Extract expertise from technical staff. Interview our engineers, designers, and AI team, then turn their knowledge into content that's accurate, accessible, and authoritative. - Run email marketing in HubSpot. Own newsletters, nurture sequences, and automated workflows. - Manage the work in Monday.com and Notion. Run content calendars, production workflows, and cross-team handoffs with precision. - Collaborate with design and web. Work with designers in Figma and inside Webflow to build landing pages and content experiences. - Report on what matters. Use Google Analytics, DataBox, and Ahrefs to track performance, surface insights, and make the case for what's next. KPIs - Email Open Rate - Website Visitors - Website Conversion Rate - Number of Blogs Published - Click-Through Rate on SEO - Domain Rating - AEO Visibility - Lead-to-MQL Conversion Rate Qualifications - 3+ years in content marketing, preferably in a tech or digital agency environment. - Extensive, hands-on experience with HubSpot. - Genuine fluency with AirOps or equivalent tools, Claude MCPs, agents, and prompt engineering. - Exceptional copywriting skills with a portfolio to back it up. - Real experience in keyword strategy, on-page SEO, AEO, and growing a domain's backlink profile. - Comfortable in Figma, fluent enough in Webflow to work alongside designers and developers. - Deep, working knowledge of Google Analytics, DataBox, and Ahrefs or SurferSEO. - Extremely organized, detail-oriented, and disciplined in Monday.com and Notion. - Creative instinct with ideas for new offers, lead magnets, and campaign concepts. - Self-driven and productive without needing to be managed. - Technical curiosity and a desire to learn and write about technical topics. Education - Bachelor's degree in Marketing, Communications, Journalism, or equivalent experience. - Advanced proficiency or higher in English. Nice-To-Have (Not Required) - SaaS Marketing Experience (Mobile or Web) - Experience running or contributing to digital PR / link-building programs - Background producing technical content for developer or technical buyer audiences Tools & Software - HubSpot - Monday.com - Notion - Webflow - Figma - Google Analytics / DataBox - Ahrefs / SurferSEO - AirOps - Claude / Claude MCPs Benefits - Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years. - Paid sick leave, 10 national holidays, and 2 company days off. - Well-being budget. - Maternity/paternity leave. - Accounting assistance. - Reimbursement of expenses for professional development courses and certifications (up to 100% in agreement with Manager). - Hardware upon business needs. - Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor. What's The Process - Application — Submit your application with portfolio samples. - Video interview - quick one-way interview answering a few questions. - HR Screening — A short conversation to align on expectations and fit. - Assignment — A focused take-home challenge. - Interview with Hiring Manager — Deep dive on strategy, tools, and approach. - Leadership Interview — A conversation with our CEO, CTO, or another senior leader. - Offer. Join us in our mission to drive change and contribute to a brighter future through innovation and hands-on experience.

Role Description We are looking for a Strong Junior QA Manual Engineer who is driven to create the best software possible. - Review documentation and analyze requirements; - Plan and estimate testing activities; - Design test plans, scenarios, scripts, and procedures; - Report and document technical issues, report bugs and errors to development teams; - Create test cases; - Perform manual Functional, Regression, and Exploratory testing (Web, Mobile); - Conduct post-release/post-implementation testing; - Monitor applications and software systems; - Present findings to software development and business user teams; - Effectively collaborate with team members to achieve the best results. Qualifications - 1.5+ years of industry experience in QA or Software Engineering; - Good knowledge of the QA process, terminology, and methodology; - Experience in manual testing of Web and Mobile Applications; - Good understanding of testing processes, methodologies, and standards (test plan, test design, test case, checklist, SDLC); - Experience in web testing (Rest API and Dev tools); - Successfully completed QA courses; - Autonomy and attentiveness; - Desire to grow and work in a team; - Ability to prioritize their time and dynamically adapt to the team's needs; - Upper-Intermediate level of English. Benefits - Annual paid vacation: 20 days-off per year during the first 3 years, further increasing to 25 days in later years; - Paid sick leave, 10 national holidays and 2 company days-off; - Well-being budget; - Maternity/paternity leave; - Accounting assistance; - Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager); - Hardware upon business needs; - Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor. Company Description Join NineTwoThree AI Studio, a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for big brands and fast-moving startups. We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you're into gambling, adult entertainment, or crypto, we’re not your place.

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.  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

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.  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