Top Tech Jobs & Startup Jobs

Build production-ready agentic AI applications that solve customer problems. Design workflows, plugins, and tool integrations; translate ambiguous needs into intuitive AI experiences; rapidly iterate applications into production; integrate APIs and enterprise systems; and partner with platform and product engineers. Own customer-facing quality, including user experience, reliability, performance, and evaluation, while identifying reusable patterns across deployments.

Lead and produce high-priority brand, campaign, product, web, social, video, and event creative. Build AI-native creative systems, reusable prompts/templates, and a flexible freelance bench. Partner across Marketing and Product to translate complex technical concepts into clear visual systems, run creative operations and measurement loops, and deliver in-product visuals and motion assets.

Design, build, and operate core AI capabilities and reusable model integrations for an enterprise platform. Integrate foundation models into production, optimize performance and reliability, prototype new techniques, and support scalable backend services and distributed AI systems in collaboration with cross-functional teams.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.