LandingAI

Haven Safety AI is building an enterprise learning intelligence layer for safety, designed to help high-risk organizations learn faster from incidents and prevent future occurrences. The platform integrates with existing EHS systems to enhance incident investigation, assessment, and learning processes. It leverages current incident evidence, company knowledge, historical cases, and an industry knowledge graph, with specialized AI agents analyzing various data points to produce traceable assessments. This role is a build-and-operate position focused on the AI and LLM engineering layer, connecting the evidence base and knowledge graph to the product experiences used by investigators and safety leaders. The work is technically demanding and operationally critical, serving enterprise customers in regulated, safety-critical industries where precision, traceability, evaluation, and human oversight are paramount.

LearnVector, founded by Andrew Ng and backed by a $100 million investment from Coursera, is building a trustworthy AI guide for learning with the mission to accelerate human development. We are a small, fast-moving team working on-site in Mountain View, California. You will invent and prototype new AI-native teaching methods, leveraging agentic AI to create personalized learning experiences. Your role involves designing and implementing rigorous measurement frameworks to prove the effectiveness of these methods, ensuring learners retain knowledge and can apply it to real-world tasks. You will be the key voice in validating pedagogical choices through data and evidence, shaping product decisions at the highest level.

LearnVector, founded by Andrew Ng, is building a trustworthy AI guide for learning with the mission to accelerate human development. We are a small, fast-moving team working on-site in Mountain View, California, backed by a $100 million investment from Coursera. The AI Engineer will build the agentic systems at the core of the product, focusing on systems that understand each learner, plan a path toward valuable skills, and guide them step-by-step. This role involves tackling complex challenges beyond frontier models, such as maintaining learner profiles over time, optimizing teaching strategies, ensuring long-running conversations are useful, and verifying the accuracy of generated content before it reaches the learner. You will own these systems end-to-end, including design, implementation, evaluation, and iteration based on real learner data.

Slide AI is building a hosted deck-as-code platform to address the brittleness of AI-generated slides. This role will focus on creating a platform where humans and agents can generate specifications that compile into editable, validated presentations. You will own the product from planning and compilation to editing, validation, and publishing, working closely with AI Fund and users to define scope and build an MVP. The goal is to design a seamless workflow from prompt-assisted drafting to agent-driven deck creation, ensuring all generated decks are editable, inspectable, and trustworthy for presentation.

$120k - $150k

This role is to build an AI-native market intelligence and pricing system that converts competitive signals into defensible commercial decisions for SKU-heavy manufacturers. The system will ingest competitor portfolios, channel movement, pricing, specifications, and configuration changes, then use spec-aware entity resolution to map competitor products against the customer's own lineup. A recommendation engine will translate these changes into actionable price, positioning, promotion, or portfolio adjustments, all while respecting operational constraints and user feedback.

$30k - $30k

AI Fund is seeking an AI Full-Stack Engineer for an Engineer in Residence role. This position is for an individual with strong software development skills and a talent for rapid prototyping, who is eager to leverage modern Generative AI frameworks. The ideal candidate will thrive in a dynamic environment, focusing on quickly building and iterating on full-stack applications using cutting-edge AI techniques. You will also play a role in guiding technical vision and defining architectural patterns, working closely with Dr. Andrew Ng to bring experimental ideas to life through functional prototypes. This role offers a unique opportunity to be at the forefront of AI innovation, shaping the future of AI-driven companies.

DeepLearning.AI is seeking an AI Engineer to join its newly formed Learning Experience Lab. This role involves leveraging expertise in software and machine learning to build the future of education technology. The ideal candidate will contribute to developing new AI products and features for platform learning experiences and content creation workflows. This is an in-person, in-office role located in Mountain View, California, open to candidates based in the United States who possess or are eligible for U.S. work authorization.

$130k - $175k

AI Aspire, Dr. Andrew Ng's advisory firm, is seeking Forward Deployed AI Engineers to join their team. This role operates at the intersection of AI engineering and enterprise impact, embedding engineers with clients to identify opportunities, redesign workflows, and implement AI solutions that drive business outcomes. Between client engagements, engineers will contribute to internal tooling and platform development from the Mountain View office. This dynamic position requires a blend of deep technical AI engineering skills and strong client-facing communication abilities, translating cutting-edge AI into practical solutions for leading organizations.

$180k - $200k

This role focuses on building a real-time AI copilot to assist live-commerce hosts who often manage multiple tasks simultaneously, leading to cognitive overload. The goal is to create a backstage system that enhances host performance across various platforms like eBay Live, Whatnot, TalkShopLive, and Amazon Live. The project involves developing tools for chat management, product information retrieval, inventory control, and post-show content generation, aiming to reduce backstage work while maintaining host authenticity and control.

$30k - $30k

Ayama is seeking a Senior Software Engineer to drive the AI revolution into critical assets, partnering with Andrew Ng’s AI Fund and a Fortune 500 energy leader. The company aims to reshape how heavy assets operate, are managed, and maintained using AI, addressing critical gaps in asset uptime, output, and staff productivity. This is a 100% hands-on role where you will be deeply involved in coding and architecture, making key decisions and shipping products. You are expected to be AI-native and leverage modern AI development tools to move quickly while making sound architectural choices.

This role focuses on building secure AI agents that operate behind the corporate firewall, addressing the challenge of integrating internal databases, APIs, and legacy systems with LLM stacks without lengthy integration cycles. The goal is to create an agent framework that connects securely to these internal resources, a task-orchestration layer for multi-step actions, and an authentication/access-control layer that respects existing enterprise identity systems and permissions. A monitoring and audit system will also be developed to record agent actions for compliance and debugging.

$120k - $120k

This role is to build an AI chief of staff that turns meeting context into structured work, routes it correctly, and keeps commitments moving without creating another system for managers to maintain. You will own the product across meeting ingestion, structured extraction, routing, manager review, integrations, and deployment. You will design the context model that connects people, projects, decisions, and commitments without requiring heavy setup, and build evals and guardrails for extraction quality, incorrect routing, duplicate tasks, and unhelpful follow-ups. You will test the single-player manager workflow quickly and learn which parts create enough daily value before team adoption, and work with AI Fund's build team on product scope, technical risk, and the path from manager utility to a broader operating system.

$30k - $30k

Vindexa is seeking its first engineering hire to build the technical foundation of an AI-powered compliance platform for the clean energy industry. This role involves making key architectural decisions, setting engineering standards, and owning the codebase to develop AI-powered workflows that automate Prevailing Wage and Apprenticeship (PWA) requirements under the Inflation Reduction Act. You will work closely with the CEO, operate with significant autonomy, and leverage AI coding tools as force multipliers. As the company scales, this position is expected to grow into a future engineering leadership role.

We are seeking a visiting AI Engineer to lead the next stage of development for Context Hub, an open-source CLI tool that provides AI coding agents with up-to-date API documentation. This role is hands-on, focusing on designing and building infrastructure, improving how agents discover and consume documentation, and evolving Context Hub into a comprehensive knowledge-sharing platform for AI agents. You will work directly with Andrew Ng and the team, shaping the future of how AI coding agents gather context and write code, with features used by thousands of developers daily. The ideal candidate is highly GenAI-enabled, leverages AI-powered tools, possesses deep curiosity about AI agents and developer tooling, and has a passion for open source.

Vidably is building the evidence layer for commerce, transforming user-generated video content into structured, SKU-level product evidence. This AI-powered system aims to provide the crucial signals needed for shopping agents and enhance customer decision-making by connecting authentic buyer video to product pages. The company is backed by AI Fund and is seeking a hands-on engineer to help make their platform self-serve and reliable across Shopify storefronts.

ResolveGrid.ai is redefining how industrial companies manage complex field engineering operations by leveraging cutting-edge AI to bring unprecedented efficiency, intelligence, and adaptability to industrial workflows. Backed by Andrew Ng’s AI Fund and other notable investors, ResolveGrid.ai is already trusted by over 20 enterprise customers. This is a rare chance to shape the technical DNA and product foundation of a platform that will transform how industries scale. You will work directly with our CEO and founding team to build next-generation AI systems for the industrial sector.

This role is focused on building an AI-native regulatory intelligence and operations system. The goal is to create a solution that helps regulated companies manage the constant influx of rules, filings, standards, and guidance. The system will interpret changes, prove compliance, and provide teams with the necessary information to understand what has changed, which obligations are affected, who owns the response, and what evidence will satisfy an audit. This is a 12-week, full-time, on-site residency in Mountain View, California, with the potential for a founder-level role and equity upside if the idea proves successful.

$30k - $30k