Tech jobs
Job listings
Software Engineering Intern (Summer 2027)
Summer 2027 software engineering intern at Circleback, an AI meeting-notes and search startup in San Francisco. Interns build features end-to-end across database models, API endpoints, and UI for web (React), desktop (Electron), and mobile (React Native) apps, plus AI-powered product foundations like search, transcription, and automations.
Member of Technical Staff [Agent]
As a founding engineer at NeoCognition, you'll build production-ready applications, APIs, SDKs, and developer tools to turn LLM agent research into user-facing products, working across backend, frontend, and cloud infrastructure.
Senior Software Engineer, Billie AI team
Senior engineer on Collectly's Billie AI team building AI voice and chat agents for patient conversations, plus LLM-based cost estimation. Work spans real-time, high-concurrency backend systems in Python and PostgreSQL, data analysis, and end-to-end feature ownership.
Data Analytics & Data Science Intern — Spring & Summer 2027
Data Analytics & Data Science Intern at Simbe Robotics, working with production retail and robot-fleet data to build analytical datasets, dbt models, and dashboards. Core stack: SQL, Python, BigQuery, dbt, and Looker, with dimensional modeling and data-quality work.
Product Manager - Early Career, AI Platform
Early-career product manager on Addepar's AI product team, helping scope, spec, and launch AI features such as conversational AI, agentic workflows, and the Addepar MCP. Works cross-functionally with engineering, design, and GTM, using prompting and agent evaluation to ship AI products for investment professionals.
AI Engineer
AI Engineer at SFEIR Strasbourg building GenAI solutions for clients: unified GenAI APIs (text, image, video, RAG) on Google Cloud, specialized chatbots, and digital twins. Core stack includes Python, FastAPI, LangChain/LiteLLM, LLM prompting, RAG, orchestration and FinOps.
Member of Technical Staff, Model Evaluation
Research engineer building evaluation infrastructure for a frontier AI lab that trains its own models end-to-end: designing eval frameworks, automated eval pipelines and regression detection, agent-assisted inspection workflows, and observability tooling for training runs, in partnership with post-training and RL teams.
