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.
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 were excited to see how yours can contribute to our team while uncovering new perspectives and opportunities for growth together!
Role overview:
At Continuity were 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. Were entering a new phase: industrializing cutting-edge AI systems that blend robust ML models RAG architectures LLM agents fine-tuning and seamless product integration.
Were 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 youll bring deep expertise in deploying AI models optimizing ML and data engineering pipelines and implementing intelligent agents in a dynamic fast-moving environment.
Youll 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.
- 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:
Experience & Technical Skills
- 57 years of experience as an AI Engineer ML Engineer or equivalent with a strong academic background in engineering or applied sciences.
- Proven experience deploying ML models and scaling AI systems in production environments.
- Proficiency in Python (production-level: FastAPI asyncio etc.) and ML frameworks (PyTorch transformers).
- Deep knowledge of modern AI frameworks: dspy pydanticAI vLLM MCP etc.
- Hands-on experience with fine-tuning/distillation (e.g. QLoRA).
- Solid grasp of RAG embeddings multi-tool agents and context-aware servers.
- Experience working with both open-source models and API-based LLMs.
- Strong MLOps mindset: CI/CD observability testing security Docker AWS.
Mindset & Soft Skills
- 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 optimize processes for real business impact.
- Enthusiastic about fast-paced scaling environments.
Why this role is unique:
This AI/ML Engineer position sits at the heart of our tech transformation. It reflects our ambition to evolve our SaaS platform from a powerful solution into an intelligent co-pilot for underwriting. By industrializing generative AI and agentic systems youll help accelerate decision-making for insurers improve customer service quality and strengthen our competitive edge in a rapidly shifting market. Your expertise will directly turn AI into a tangible measurable and differentiating value driver for both our clients and internal teams.
We encourage all applications
Dont meet every single requirement Thats okay!
We know that the best candidates dont always fit a perfect checklist. If this role sparks your interest wed love to hear from you even if youre not sure you meet every criterion.
Were looking for curious motivated people who are 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)
- Present a technical case study to showcase your technical and reasoning skills (2h)
- Meet cross team members (2h)
- Meet executive leaders (1h)
- References check
WELCOME TO >CONTINUITY
What we offer
Flexibility
With our Work Where You Like policy you may be eligible to work from anywhere within France and soon from Europe!
Work life balance
Were here to support you in finding balance no matter your personal circumstances.
Learning & Development
Were committed to providing you with the resources opportunities and support you need to develop your skills and achieve your full potential.
Career growth
We provide clear development paths skill-building opportunities and support for internal mobility through open conversations & career coaching.
Health & Wellness
We offer comprehensive health insurance (maximum coverage with Alan Blue) dedicated relaxing events & resources like to support your physical mental and emotional health.
Life @Continuity
We create moments to come together celebrate achievements and strengthen our collective spirit.
Transportation & hotel costs
We provide partial reimbursement for public transport season tickets for office and hybrid employees and cover transportation and accommodation costs for fully remote team members when needed.
Meals
We provide a restaurant card (Swile : 12 per working day).
Home office setup
We provide all the necessary equipment to ensure you have the best setup for remote work.
Time-off
25 days of holidays RTT days.
Inclusion
All roles are open to candidates with disabilities. We adapt work conditions and the recruitment process as needed to ensure equal opportunitiesjust 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.
Our Mission: build AI-driven solutions for smarter risk detection in the B2B Insurance worldContinuity 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 ...
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.
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 were excited to see how yours can contribute to our team while uncovering new perspectives and opportunities for growth together!
Role overview:
At Continuity were 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. Were entering a new phase: industrializing cutting-edge AI systems that blend robust ML models RAG architectures LLM agents fine-tuning and seamless product integration.
Were 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 youll bring deep expertise in deploying AI models optimizing ML and data engineering pipelines and implementing intelligent agents in a dynamic fast-moving environment.
Youll 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.
- 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:
Experience & Technical Skills
- 57 years of experience as an AI Engineer ML Engineer or equivalent with a strong academic background in engineering or applied sciences.
- Proven experience deploying ML models and scaling AI systems in production environments.
- Proficiency in Python (production-level: FastAPI asyncio etc.) and ML frameworks (PyTorch transformers).
- Deep knowledge of modern AI frameworks: dspy pydanticAI vLLM MCP etc.
- Hands-on experience with fine-tuning/distillation (e.g. QLoRA).
- Solid grasp of RAG embeddings multi-tool agents and context-aware servers.
- Experience working with both open-source models and API-based LLMs.
- Strong MLOps mindset: CI/CD observability testing security Docker AWS.
Mindset & Soft Skills
- 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 optimize processes for real business impact.
- Enthusiastic about fast-paced scaling environments.
Why this role is unique:
This AI/ML Engineer position sits at the heart of our tech transformation. It reflects our ambition to evolve our SaaS platform from a powerful solution into an intelligent co-pilot for underwriting. By industrializing generative AI and agentic systems youll help accelerate decision-making for insurers improve customer service quality and strengthen our competitive edge in a rapidly shifting market. Your expertise will directly turn AI into a tangible measurable and differentiating value driver for both our clients and internal teams.
We encourage all applications
Dont meet every single requirement Thats okay!
We know that the best candidates dont always fit a perfect checklist. If this role sparks your interest wed love to hear from you even if youre not sure you meet every criterion.
Were looking for curious motivated people who are 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)
- Present a technical case study to showcase your technical and reasoning skills (2h)
- Meet cross team members (2h)
- Meet executive leaders (1h)
- References check
WELCOME TO >CONTINUITY
What we offer
Flexibility
With our Work Where You Like policy you may be eligible to work from anywhere within France and soon from Europe!
Work life balance
Were here to support you in finding balance no matter your personal circumstances.
Learning & Development
Were committed to providing you with the resources opportunities and support you need to develop your skills and achieve your full potential.
Career growth
We provide clear development paths skill-building opportunities and support for internal mobility through open conversations & career coaching.
Health & Wellness
We offer comprehensive health insurance (maximum coverage with Alan Blue) dedicated relaxing events & resources like to support your physical mental and emotional health.
Life @Continuity
We create moments to come together celebrate achievements and strengthen our collective spirit.
Transportation & hotel costs
We provide partial reimbursement for public transport season tickets for office and hybrid employees and cover transportation and accommodation costs for fully remote team members when needed.
Meals
We provide a restaurant card (Swile : 12 per working day).
Home office setup
We provide all the necessary equipment to ensure you have the best setup for remote work.
Time-off
25 days of holidays RTT days.
Inclusion
All roles are open to candidates with disabilities. We adapt work conditions and the recruitment process as needed to ensure equal opportunitiesjust 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.
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