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Shift Technology

Artificial Intelligence Researcher

Shift Technology

. Stay at the forefront of Generative AI and Agentic AI, including LLMs, multimodal models, tool-augmented agents and agentic workflows.

Posted 9/18/2026full-timeRemote • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI systems, particularly in Generative AI and LLM-based architectures, with a strong focus on developing agentic workflows for the insurance industry. Proficient in Python and modern AI frameworks, with a commitment to continuous improvement and collaboration across teams.

Highest-signal resume keywords
PhD In Computer ScienceGenerative AI ExperiencePrompt EngineeringPython ProficiencyInsurance Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI System DesignMachine LearningTool-Augmented AgentsMultimodal ModelsRAG PipelinesSystematic EvaluationC# ProficiencyTask DecompositionContext DesignMemory Strategies
Soft Skills
AutonomousRigorousProblem-SolvingMotivated
Tools & Technologies
Microsoft Agent FrameworkOpenAI Agents SDKLangGraphGitHub CopilotClaude CodeCodex
Industry Keywords
Insurance IndustryAgentic WorkflowsClaim Handling AgentsBusiness ImpactContinuous Improvement

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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.
  • Develop claim handling agents that automate tasks and processes, simplify claim handlers’ daily work, and enhance the insured’s experience.

Requirements

What you’ll need
  • 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. The Shift working language is English.
  • Fluency in French is a significant advantage.
  • 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.

Benefits

Comp & perks
  • 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