Shift delivers AI agents that transform insurers’ most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world’s leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

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Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Learn more at www.shift-technology.com

The team

The Research team plays a key role in Shift’s strategy, developing AI technologies used by insurers and their clients worldwide. We design, evaluate, and industrialize cutting-edge AI systems, with a strong focus on Generative AI and agentic architectures.
We tackle complex real-world insurance challenges such as fraud detection, liability analysis, subrogation opportunity detection, and decision support across highly heterogeneous and unstructured data including documents, free text, images, and structured claim data.
Our ambition is to build reliable, production-grade AI systems that can reason over evidence, using tools and skills, and operate safely within critical business workflows.
As an Artificial Intelligence Researcher, you will join the “Agentic Claims” squad dedicated to developing claim handling agents. These systems support claim handlers by automating tasks and processes, simplify the daily work of claim handlers, and ultimately enhance the experience of the insured.

Your role

Stay at the forefront of Generative AI and Agentic AI, including LLMs, multimodal models, tool-augmented agents and agentic workflows.
Design, prototype, and rigorously evaluate specialized AI agents tailored to end-to-end insurance workflows.
Translate business problems into robust agentic systems, including task decomposition, context and prompt design, tool integration, memory strategies, and advanced evaluation methodologies.
Take ownership of AI systems from problem formulation and benchmarking to production deployment, monitoring, and continuous improvement.
Contribute to internal frameworks, benchmarks, and shared tooling to accelerate experimentation and industrialization of agentic workflows.
Collaborate closely with product, engineering, and data teams to ensure scalability and measurable business impact.

You’ve got what it takes if

You hold a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
You have 3+ years of hands-on experience designing and deploying AI systems, with strong exposure to Generative AI and LLM-based architectures.
You have practical experience with prompt engineering, RAG pipelines, tool-augmented agents, and systematic evaluation of AI systems.
You are comfortable using coding agents such as GitHub Copilot, Claude Code, or Codex in your daily work
You are proficient in Python and modern AI frameworks (Microsoft Agent Framework, OpenAI Agents SDK, LangGraph)
You are autonomous, rigorous, and motivated by solving complex, high-impact real-world problems.
You are business fluent in English. We are an international company with offices in many countries and 50+ nationalities, the Shift working language is English.
Fluency in French is a significant advantage.

Nice to have

Experience developing and deploying AI agents in production environments.
Experience with multimodal models or AI-based document understanding.
Proficiency in C#.
Experience in the insurance industry.
While this position offers full remote flexibility across France, proximity to the Paris region is a distinct advantage.

Interview Process

Talent Acquisition
Technical stage
Hiring Manager
Chief Product Officer

To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:

Flexible remote and hybrid working options
Competitive Salary and a variable component tied to personal and company performance
Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
Generous PTO and paid holidays
Mental health benefits
2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country, based on your eligibility – ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits – ask your recruiter for more details.

AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.__Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.

Please be aware of scammers and only trust correspondence that comes from emails ending in “shift-technology.com”. We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.

Career Guide for the Artificial Intelligence Researcher Position at Shift Technology

Job Overview

The Artificial Intelligence Researcher at Shift Technology will work within a dynamic team focused on developing AI agents for the insurance industry. This role involves creating solutions that streamline claim handling by automating processes and enhancing user experience. The ideal candidate will engage with cutting-edge AI technologies and contribute to the company’s goal of transforming the insurance sector.

Key Responsibilities

Design and Evaluate AI Systems: Create specialized AI agents tailored to the needs of insurance workflows.
Translate Business Challenges: Convert complex business problems into effective AI solutions through task breakdown and context design.
Ownership of AI Projects: Handle projects from initial problem formulation to deployment and ongoing improvement.
Internal Collaboration: Work closely with product, engineering, and data teams to ensure scalability and measurable impact.
Experimentation Acceleration: Develop frameworks and tools to enhance the speed and efficiency of AI workflows.

Required Skills and Knowledge

Technical Skills

Education: PhD in Computer Science, AI, Machine Learning, or related field.
AI Experience: Minimum 3 years in designing and deploying AI systems, particularly with Generative AI and LLMs.
Programming: Proficiency in Python and familiarity with AI frameworks like Microsoft Agent Framework and OpenAI Agents SDK.
Prompt Engineering: Experience with prompt engineering and evaluation methodologies.

Soft Skills

Autonomy: Ability to work independently while managing complex problems.
Motivation: Driven to tackle real-world challenges that have significant impact.
Collaboration: Strong communicator, especially in a multicultural setting.

Tools and Technologies

Coding Agents: Experience with GitHub Copilot, Claude Code, or Codex.
Frameworks: Familiarity with frameworks for agentic architectures.

Certifications or Training

Advanced machine learning or AI certifications could enhance candidacy.
Courses in insurance technology may provide an additional edge.

Interview Preparation

Common Interview Questions

What interests you about the role of Artificial Intelligence Researcher?
- Focus on your passion for AI and its transformative potential in insurance.
Can you explain a project where you deployed an AI system?
- Discuss the project scope, your role, and outcomes achieved.
What are LLMs, and how have you utilized them in your previous work?
- Briefly define LLMs and provide real-world applications.
How do you ensure the reliability of AI systems?
- Describe testing and evaluation processes you follow.
Can you explain the concept of prompt engineering?
- Provide a concise definition and importance in AI system efficiency.
What strategies do you use for task decomposition?
- Offer specific methodologies you follow for breaking down complex problems.
Have you worked with diverse teams? How do you approach collaboration?
- Highlight your adaptability and communication skills in multicultural settings.
What challenges have you faced with AI implementation, and how did you overcome them?
- Discuss a specific challenge and your approach to resolution.
How do you stay current with advancements in AI technology?
- Mention resources, conferences, or communities that you follow.
What is your experience with multimodal models?
- Describe any projects involving different data types and integration techniques.

Important Topics to Review

Generative AI and LLMs
Insurance technology challenges
AI evaluation methodologies
Multimodal models and their applications

How to Increase Your Hiring Chances

CV Improvement

Highlight Relevant Experience: Focus on roles and projects that align closely with the job description.
Quantify Achievements: Use metrics to demonstrate the impact of your work (e.g., improved efficiency by X%).
Tailor for ATS: Ensure your CV uses relevant keywords from the job description.

LinkedIn Profile Optimization

Professional Summary: Write a compelling summary that encapsulates your expertise and aspirations.
Engagement: Engage with posts related to AI and insurance to showcase your interests.
Networking: Connect with professionals in the industry to expand your network.

Portfolio or Project Ideas

AI Projects: Develop AI models that address specific insurance challenges, documenting your process.
Blog Posts: Write about your learnings and insights in AI to showcase your knowledge and thought leadership.
Open Source Contributions: Participate in open-source AI projects.

Learning Recommendations

Courses: Enroll in specialized courses on AI systems, prompt engineering, and insurance technology.
Books: Read up on recent advancements in AI and machine learning.
Conferences: Attend industry conferences to build knowledge and network with experts.

Career Growth

Starting as an Artificial Intelligence Researcher may lead to:

Senior Researcher: Overseeing larger AI projects and mentoring junior staff.
Team Lead: Leading a team of researchers and managing project timelines.
Director of AI: Directing the AI strategy within the organization, focusing on innovation and market positioning.
AI Consultant: Transitioning to a consultancy role, applying expertise across various organizations.

By following this guide, candidates can prepare effectively for the role and enhance their career prospects within the AI and insurance sectors.