Top Tech Jobs & Startup Jobs

Own full-cycle recruiting for Engineer in Residence candidates and AI Fund’s internal team, especially senior engineers and technical builders. Responsibilities include sourcing, screening, candidate closing, pipeline reporting, stakeholder communication, hiring event coordination, and process optimization. The recruiter will use AI for research, outreach, screening, and workflow development while evaluating hands-on technical and GenAI experience.

Build and operate production AI and LLM systems for safety-critical enterprise applications. Responsibilities include multi-step agent orchestration, retrieval across Neo4j and vector stores, evaluation frameworks, model comparison, observability, quality monitoring, failure handling, and production incident response. The role requires strong Python and experience with asynchronous services, LLM workflows, evaluation, retrieval, graph reasoning, and enterprise AI security. It also contributes to model selection, technical direction, and the AI roadmap.

Build and operate production AI systems for safety-critical enterprise applications. Responsibilities include multi-step LLM pipelines, agent orchestration, graph and hybrid retrieval, evaluation frameworks, observability, model selection, and production incident response. The role requires strong Python, FastAPI, asynchronous services, testing, and experience with LLM deployment, tool-calling workflows, evaluation, retrieval, and production operations. Graph expertise with Neo4j and Cypher is preferred, along with enterprise AI security and Azure experience.

Freelance writers summarize recent machine learning research papers for The Batch, an AI newsletter reaching over two million professionals and students. Writers must understand machine learning technology, explain complex research clearly in an established format, and communicate effectively in English. The role is intended for graduate students and postdocs in machine learning, with negotiable freelance compensation.

Support Andrew Ng and his ecosystem by managing complex calendars, travel, events, communications, and board logistics. Prepare briefings and materials, track action items and recommendations, manage expense reports and letters of recommendation, and assist with presentations and miscellaneous operations. Coordinate across AI Fund, portfolio companies, and public boards while maintaining confidentiality, anticipating needs, and using productivity and AI tools to increase efficiency.

Design and build production-quality front-end experiences for an AI learning product. Own the product design language, component system, motion, accessibility, performance, responsiveness, and interaction details. Work directly with learners and the founding team to iterate rapidly based on observed usage. The role combines product design and front-end engineering, requiring end-to-end ownership from interface design through implementation and refinement.

Own the strategy, roadmap, and feature delivery for DeepLearning.AI’s B2B corporate training product. Partner with sales, engineering, design, customer success, and curriculum teams to understand enterprise needs, define product specifications, prototype solutions, and deliver features such as analytics, reporting, custom learning paths, LMS integrations, and privacy controls. Support enterprise sales cycles and represent the product roadmap to business customers.

The Forward Deployed Engineer is customer-facing, responsible for deployments, debugging, configuring systems, and translating customer needs into product feedback. Requires hands-on coding in Python and SQL.

The Founding Product Director will define the product vision and strategy for IrisGo, lead app development, and act as a partner to OEMs, while fostering an open-source ecosystem for AI PCs.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.