- Company Name
- STATION F
- Job Title
- AI PRODUCT ENGINEER
- Job Description
-
Job title: AI Product Engineer
Role Summary:
Design, architect, and industrialise AI product roadmaps for SaaS B2B clients and internal platforms. Bridge business vision, AI architecture, and engineering delivery, ensuring scalable, cost‑effective, production‑ready AI systems.
Expectations:
• Translate business objectives into prioritized, measurable AI product roadmaps.
• Define and validate AI system architectures (LLMs, RAG, agents, pipelines) balancing performance, cost, and scalability.
• Lead engineering efforts on reusable internal components (SDKs, monitoring dashboards, generative pipelines).
• Deliver hands‑on prototypes, evaluate technical choices, and mentor teams on critical AI topics.
• Communicate effectively with CPO, CTO, sales, delivery, and engineering stakeholders in both English and French.
• Operate in a fast‑moving, complex SaaS environment.
Key Responsibilities:
- Collaborate with Sales & Delivery to generate client‑specific AI roadmaps.
- Select and architect AI building blocks (LLMs, retrieval‑augmented generation, orchestration, evaluation).
- Co‑create internal product vision; transform proprietary modules into reusable SDKs, API ecosystems, and observability interfaces.
- Design and maintain monitoring, alerting, traceability, and testing suites for deployed AI models.
- Prototype new AI concepts, challenge existing architectural decisions, and provide engineering leadership.
- Draft and refine technical documentation, deployment templates, and integration guidelines.
Required Skills:
- Deep experience in AI system engineering (LLMs, RAG, pipelines, evaluation, orchestration).
- Proven track record of building product roadmaps or translating business needs into technical solutions in SaaS or tech product contexts.
- Strong knowledge of modern AI architectures and trade‑offs (performance vs. cost vs. scalability).
- Proficient in Python, cloud infrastructure, APIs, and distributed systems.
- Product‑centric mindset: prioritisation, business impact, UX considerations.
- Excellent written and verbal communication in English and French.
- Ability to thrive in a dynamic, complex startup‑like environment.
Required Education & Certifications:
- Master’s level (Bac+5) in Computer Science, Engineering, AI, or related field.
- Relevant certifications in AI/ML engineering or cloud platforms are advantageous.
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