科技職缺
職缺列表
Senior People Systems Analyst
Senior People Systems Analyst at KoBold Metals configuring and maintaining Workday as the principal architect of HR data and processes for a 300+ person remote-first mineral exploration company using AI-driven exploration.
Senior Software Engineer, Onboard
Develops low-latency, deterministic C++ onboard software for Physical AI robotic vehicles—designs messaging stacks, driver interfaces, and safety monitors, plus edge compute infrastructure (PTP time sync, data logging, memory management) for fleets.
Engenheiro de Software Sênior (Java, Cloud & IA)
Senior Software Engineer at Banco BV designing and implementing resilient Java microservices on Google Cloud with Spring Boot and event-driven architectures, while integrating Generative AI/LLM solutions (RAG, Vertex AI) for the insurance sector.
Software Engineer, AI Agent Platform
Core platform engineer building and shipping ChampionAI, QAD's agentic AI platform for manufacturing. Day-to-day work involves Python/FastAPI/MCP-based agent infrastructure, enabling Applied AI teams across business units, and directly building production Champion agents.
Lead Data Scientist, Product
Lead Data Scientist at Descript, an AI-powered audio/video editing platform, shaping growth strategy through product analytics, A/B testing, and self-service analytics in close partnership with product and engineering teams.
Senior Product Manager, Depositions
Senior Product Manager owning Filevine's AI-powered Depositions platform end-to-end: defining vision, driving roadmap execution, partnering with engineering on UX, running customer calls, and leading zero-to-one launches in a SaaS legal-tech environment.
Full-Stack Developer (US-Based / Remote / Part-Time)
Part-time full-stack developer at Implicit building an AI Knowledge Engine for maintenance and support, working with React/Vue/Angular front-ends alongside data science and product teams to deliver the no-code AI platform's web interfaces.
Lead Data Engineer (Poland)
Lead a data engineering team owning the AI self-service portal and microservices, building distributed data pipelines and the company's data platform on Azure and Databricks. Day-to-day work involves Spark/Python/Scala data engineering, T-SQL/RDBMS/NoSQL/DataLake design, and collaborating with product owners and data analysts.