Top Tech Jobs & Startup Jobs

Build, iterate, and maintain a production ML platform and pipelines. Support Data Scientists with tooling for deployment and monitoring, define MLOps roadmap and best practices, collaborate with Data Engineering and DevOps, and evaluate/integrate new ML frameworks and real-time inference tools.

Build and own end-to-end AI-powered product features for climate-tech clients: design UIs, implement scalable backends, integrate ML models, automate workflows, mentor junior developers, and collaborate with researchers and data engineers to deliver production-grade systems handling high-frequency environmental and industrial data.

Lead full-stack development for a legal AI platform: design intuitive UIs and robust backends, integrate AI/LLMs with applications, architect scalable systems, mentor junior developers, collaborate with AI researchers, and automate systems for efficiency.

Lead end-to-end account strategy and growth for European enterprise customers. Drive renewals, upsells, and expansions, build executive relationships across European markets, operate autonomously across time zones, and guide a supporting Senior Account Manager to achieve commercial outcomes and long-term account plans.

Lead end-to-end deployments of LLM-powered autonomous agents into enterprise workflows, build custom integrations and data pipelines, collaborate with R&D to convert field feedback into product features, architect production-ready AI solutions for large clients, and serve as a technical consultant for stakeholders.

Lead backend architecture and development for an AI-native HR platform using Python/Django and async frameworks. Integrate LLMs, RAG, vector DBs, telephony/voice, and agent frameworks. Collaborate with AI researchers, mentor engineers, design scalable systems, automate workflows, and deliver full-stack features with AI-assisted tools.

Join as a founding product engineer in Paris to build a customer-facing security product from scratch using LLMs and agentic systems. You will own architecture, implementation, deployment, and iteration; work closely with founders, design, and users; champion testing, CI, and observability; and shape product direction in a fast-paced, high-impact startup.