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TL;DR
AI Engineer (TypeScript/Deno/AWS Bedrock): Building conversational and voice-driven agentic products for industrial teams, taking AI prototypes from alpha to reliable production systems with an accent on custom agent engineering, answer quality, and cost-efficient scaling. Focus on designing hand-built agent memory and orchestration, integrating frontier models with industrial data, and rapidly prototyping customer-facing use cases.
Location: Paris, France; hybrid setup with remote work possible, but Paris is preferred and office presence matters during onboarding and team dynamics
Salary: €60,000–€80,000 fixed annually, depending on experience
Company
Fabriq provides a SaaS platform that helps industrial sites replace whiteboards and spreadsheets with real-time KPI tracking, shop-floor problem solving, daily routines, and team collaboration.
What you will do
- Build conversational and voice-driven AI agents connected to industrial data and used by frontline teams.
- Take AI prototypes from alpha to production quality by improving answer quality, reliability, and cost per interaction.
- Prototype and validate customer-facing use cases in short, fast-moving cycles.
- Design agentic capabilities from scratch in TypeScript and Deno using frontier models through AWS Bedrock.
- Shape technical direction through architecture discussions, code reviews, and independent proposals.
- Contribute to existing beta features, ramp up on the product, and ship initial proofs of concept during the first three months.
Requirements
- 4–5 years or more of software engineering experience with strong design and architecture skills.
- Daily hands-on use of AI to build software.
- Ability to work effectively in ambiguity, make decisions, adapt to changing roadmaps, and ship.
- Evidence of building, prototyping, testing, and iterating on products from zero.
- Fluency in French and English is required.
- Technical experience with TypeScript and the ability to work with complex systems.
Nice to have
- Hands-on experience with agentic systems.
- Data experience, including dataset work and analysis of system successes and failures.
- Experience explaining and evangelising technical work across product teams.
Culture & Benefits
- Work in a two-person AI prototyping squad with direct exposure to strategic decisions and customer collaboration.
- Build custom agentic systems without relying on off-the-shelf frameworks such as Mastra or LangGraph.
- Seven weeks of vacation per year.
- Alan health insurance and Swile meal vouchers.
- Quarterly company events and an annual offsite.
Hiring process
- Recruiter screening call lasting 30–45 minutes.
- Technical interview covering project review, system design, product mindset, and technical questions.
- Team-fit interview, reference checks with two references, and a meeting with the co-founder.
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