Company: Collective.work
Country: France
Type: Onsite
Employment: Full-time
Description: Daily rate (TJM): 500 Position context: Are you looking to work in an environment where technological innovation meets the financial sector? Join our company, leader in financing and supporting innovation. Located in Maison-Alfort with a flexible teleworking policy, our technology team is made up of experts passionate about artificial intelligence and process automation. Amid rapid growth and increased adoption of AI solutions, we are looking to strengthen our team specializing in innovation and technology integration. This is where the position of Chatbots and Artificial Intelligence Developer comes in to contribute significantly to the construction and integration of advanced solutions. Missions: - Develop internal chatbots (e.g. Jarvis) and external business assistants. - Create and integrate AI agents capable of executing complex workflows and interact with multiple APIs. - Integrate advanced LLM models such as Mistral, GPT, and Claude into our systems.- Contribute technically to internal platforms such as IALAB, IAP, and GED/PHX.- Design or improve business chatbots for documentation and workflows.- Optimize the user experience of AI interactions.- Ensure integration with the internal IS via secure API calls.- Industrialize and make processes more reliable through unit testing and complete observability. Why join us?- Participate in cutting-edge projects in the field of AI within the financial sector.- Contribute to the development of tools that shape the future of financial innovation.- Evolve within a team of experts where collaboration and innovation are at the heart of each project.- Benefit from rewarding career paths in a company committed to supporting innovation. Profile sought:- Degree in computer science or related field, with more than 5 years of experience on similar missions.- Skills in Python and Node.js/TypeScript, with expertise in FastAPI and async.- Experience in designing AI agents and integrating advanced models.- Soft skills: Strong autonomy, pedagogy, product mindset, and ability to document effectively. Technical stack:- Languages: Python (FastAPI, async), Node.js/TypeScript- Agent frameworks: LangChain, LlamaIndex, CrewAI, Semantic Kernel- Models and AI: Mistral, GPT, Claude- API: REST, GraphQL- Internal tools: ERP, EDM, RPA, CRM, PHX- Cloud and DevOps: Azure Functions, Containers, CI/CD, Kafka- Observability: Grafana, Prometheus, Langfuse
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