Senior AI/ML Engineer

Our Mission: build AI‑driven solutions for smarter risk detection in the B2B Insurance world. Continuity is a team of 42 talented professionals, with more than 60% of our staff dedicated to R&D, developing specialized AI for underwriting risk analysis. As the preferred partner of insurers in the commercial P&C space, we empower them to make smarter, faster underwriting decisions by leveraging the power of data and AI. Leading insurers rely on our SaaS platform to streamline underwriting, enabling fast and accurate risk assessments for both new business and updates to evolving policies. We focus on improving risk assessment, monitoring portfolios, and accelerating the underwriting process. By transforming complex data into a clear and intuitive interface, Continuity enables underwriters to enhance customer relationships and service quality, driving profitability and efficiency. Joining us means contributing to a dedicated, growing team with high ambitions. We work closely with insurers to drive technological innovation, making a significant impact on the way insurers operate and the experience of policyholders. Continuity announced its 10 m€ Series A funding in May 2024, which will support our international development plans. Role Overview We’re building an innovative SaaS platform tailored to the insurance industry. Our robust platform currently delivers significant value to our clients, combining expert systems and advanced data analysis. Our mission now is to evolve this platform into an intelligent co‑pilot for underwriters by pragmatically integrating cutting‑edge AI. We’re hiring a Senior AI/ML Engineer to design, develop, and deploy next‑generation systems. As a senior individual contributor, you will bring deep expertise in building and shipping production‑grade AI systems, play a key role in evolving our scalable infrastructure, and evaluate how to best leverage new AI paradigms in a dynamic, fast‑moving environment. Hybrid flexibility: the team is Paris‑based. Key Responsibilities Hybrid AI Systems Design Architect AI systems that combine ML algorithms, LLMs, and orchestrated agents. Prototype high‑impact business use cases: underwriting assistants, risk extraction, document processing. Design and structure AI agent teams for specific operational goals. Identify and recommend the best‑fit open‑source or proprietary tools. Product & Business Iteration Collaborate closely with the Chief Science Officer, applied ML engineers, data engineers, PMs & Ops to transition prototypes to production. Translate business value into concrete engineering actions, ensuring relevance, reliability, and robustness. Lead initiatives around data collection and evaluation pipelines (e.g., annotations, synthetic data). Contribute to internal documentation and foster adoption of AI solutions across the company. Production & Scalability Actively contribute to architectural decisions that ensure compliance, reliability, and scalability. Co‑develop a modular agentic toolbox to support future applications. Integrate AI systems into our tech stack (APIs, internal tools, libraries such as dspy). Implement observability: logging, monitoring, alerts, and dashboards to track performance. Compliance & Governance Ensure the security, traceability, and robustness of AI systems. Contribute to AI governance initiatives (metadata, usage limits, internal audits). Provide input on compliance and ethical AI usage. Technical Leadership Advocate for AI‑first approaches using agentic architectures. Promote adoption of advanced engineering practices (smart tech choices, CI/CD workflows). Be a central player in driving innovation, focused on robust, scalable, and reliable systems. Innovation & Tech Watch Stay actively informed about emerging technologies, frameworks, and methodologies in AI and ML. Test, adapt, and deploy innovative ideas aligned with business priorities, research, and product evolution. What You Bring 5–8 years of experience as an ML Engineer, AI Engineer, or similar role. Motivated by real‑world impact, not just experimentation or research. Solid academic background, but above all, a pragmatic engineering mindset. Comfortable in a structured yet fast‑moving environment where tech drives business impact. Curious, rigorous, and capable of explaining complex ideas to non‑technical teams. Tech Stack & Core Skills Must‑haves Strong production‑level Python skills (FastAPI, asyncio, testing, clean code structure). Experience with PyTorch / Hugging Face Transformers. Proven track record deploying ML models to production (fine‑tuning, optimisation, scaling). Solid understanding of RAG, embeddings, and LLM APIs. Strong MLOps culture (CI/CD, observability, Docker, AWS). Nice‑to‑haves / What you’ll explore here Experience with modern AI frameworks (LangChain, LlamaIndex, Dspy, vLLM, CrewAI, etc.). Interest in multi‑agent architectures or orchestration frameworks. Understanding of AI governance (auditability, safety, ethics). Your curiosity and willingness to build with us matter as much as your experience. Soft Skills & Mindset Strong autonomy, delivery‑driven, curious, and team‑oriented. Technical leadership and the ability to guide while remaining a high‑impact individual contributor. Excellent communication skills with the ability to explain complex concepts clearly. Passion for applied research and bringing AI solutions into production. Problem‑solver with strategic thinking and the ability to optimise processes for real business impact. Enthusiastic about fast‑paced, scaling environments. Why This Role Is Unique This role is at the heart of our tech transformation. You won’t be starting from scratch; you’ll build upon a solid foundation to accelerate our evolution. By pragmatically integrating generative AI and agentic systems, you’ll help insurers make faster, better decisions and strengthen our competitive edge. Your expertise will directly turn promising AI concepts into tangible, measurable, and differentiating value for both our clients and internal teams. We Encourage All Applications Don’t meet every single requirement? That’s okay We know the best candidates don’t always fit a perfect checklist. If this role sparks your interest, we’d love to hear from you, even if you’re not sure you meet every criterion. We’re looking for curious, motivated people eager to learn and make a real impact. At Continuity, we value diversity in all its forms and are committed to fostering an inclusive, supportive workplace where everyone can thrive. Interview Process Introduction video call with Talent Acquisition Manager and/or team lead (45 min). Technical case study presentation to showcase your skills (2 h). Meet cross‑team members (2 h). Meet executive leaders (1 h). Reference check. What We Offer Flexibility: Work Where You Like policy, potentially working from anywhere in France and soon from Europe. Work‑life balance: Support you in finding balance, no matter your personal circumstances. Learning & Development: Resources, opportunities, and support to develop your skills and achieve your full potential. Career growth: Clear development paths, skill‑building opportunities, and internal mobility through conversations & coaching. Health & Wellness: Comprehensive health insurance (maximum coverage with Alan Blue), relaxing events, and resources like Moka.Care. Life @Continuity: Moments to come together, celebrate achievements, and strengthen our collective spirit. Transportation & hotel costs: Partial reimbursement for office and hybrid employee public transport season tickets; cover transport and accommodation for remote team members when needed. Meals: Restaurant card (Swile, €12 per working day). Home office setup: Equipment to ensure the best remote work setup. Time‑off: 25 days of holidays plus RTT days. Inclusion: All roles are open to candidates with disabilities. We adapt work conditions and the recruitment process as needed to ensure equal opportunities—just let us know how we can support you Continuity does not accept unsolicited staffing agency or headhunter resumes and will not pay any third‑party that does not have a signed agreement with us. #J-18808-Ljbffr