AI Automation Product Engineer

🕒 il y a 2 jours

🌐 États-Unis, Irlande, +2 autres pays – Distant

🇺🇸 États-Unis – Télétravail 🇮🇪 Irlande – Télétravail 🇪🇸 Espagne – Télétravail 🇳🇱 Pays-Bas – Télétravail

🐊 Florida – Distant

🐊 Florida – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

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NineTwoThree Studio

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2012

💼 Conseil

📣 Marketing

🤖 Intelligence artificielle

Consulting • Marketing • Artificial Intelligence

NineTwoThree AI Studio est un studio de conception de produits, d'ingénierie et de marketing spécialisé dans la création de solutions d'IA sur mesure pour les marques établies et les startups financées. Fort de plus de 13 ans d'expérience et d'une réussite avérée dans la création de nombreuses startups et produits internes réussis, il exploite une méthodologie agile et le design thinking pour aider les clients à identifier et valider rapidement de nouveaux produits. Ses services couvrent diverses technologies d'IA, y compris l'IA conversationnelle, l'IA générative, le machine learning, et le développement d'applications mobiles, garantissant des approches innovantes et efficaces adaptées aux besoins des clients.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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