Senior Ai/ml Engineer

**"Our Mission: build AI-driven solutions for smarter risk detection in the B2B Insurance world"** Continuity is a team of 40 talented professionals, with 75% dedicated to R&D, developing specialized AI for underwriting risk analysis. As the preferred partner of insurers in the commercial P&C space, we enable 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, whether for new business or to accurately identify and update policies that have evolved over time. 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 focus on improving customer relationships and service quality, which ultimately translates into increased profitability and efficiency. Joining us means being part of a dedicated, growing team with high ambitions. We work closely with insurers to drive technological innovation in the sector, with the aim of making a significant impact on the way insurers operate and the experience of policyholders. Continuity announced its 10m€ Series A funding in May 2024, which will foster its international development plans. To find out more, please visit our website: Continuity.ai. **What do we promote?** Our strong commitments include building a diverse and inclusive workplace where everyone feels valued and empowered to contribute. Our cultural drivers **[empathy, impact, innovation, and collaboration]**guide us as we work together to create meaningful change. This is why we focus on the skills and potential you bring, rather than just your academic background or past experiences. We believe that talent is shaped by diverse life journeys, and we’re excited to see how yours can contribute to our team while uncovering new perspectives and opportunities for growth together **Role overview**: At Continuity, we’re building an innovative SaaS platform tailored to the insurance industry. Our mission is to streamline the underwriting process and deliver robust risk analysis through advanced AI models. We’re entering a new phase: industrializing cutting-edge AI systems that blend robust ML models, RAG architectures, LLM agents, fine-tuning, and seamless product integration. We’re hiring an AI/ML Engineer to design, develop, and deploy systems that will transform our internal operations, underwriting capabilities, and overall customer experience. As a senior individual contributor, you’ll bring deep expertise in deploying AI models, optimizing ML and data engineering pipelines, and implementing intelligent agents in a dynamic, fast-moving environment. You’ll play a key role in building scalable infrastructure and robust AI solutions while working independently to optimize our systems and drive our shift toward agentic AI systems. **This role offers 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. - 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 y