AI Startup Jobs

Supabase

Supabase is seeking a Software Engineer, AI Tooling Infrastructure to join their AI Tooling team. This role focuses on building and operating the backend services that power Supabase's AI products, such as the Supabase MCP server and services supporting agent skills and the dashboard assistant. The position involves ensuring these services are reliable, correctly authorized, and observable, handling the unique traffic patterns of AI clients and agents. It's a systems and infrastructure-focused role, requiring hands-on building and operation rather than just advisory. The ideal candidate thrives in fast-paced, asynchronous environments and is passionate about creating scalable developer tools.

Salary not listed

Sierra

Sierra is seeking an Applied Research Intern to join their team focused on improving the performance, speed, and cost-efficiency of AI agents. This internship offers a unique opportunity to work on a research project from conception to potential publication, with the guidance of a mentor. The intern will tackle real-world AI agent challenges, conduct rigorous experiments, and contribute to advancements in agent evaluation, reasoning, and post-training methods. The role is ideal for individuals passionate about making AI agents more reliable and effective, with the potential for their research to impact millions of users.

Salary not listed

Perplexity AI

Perplexity is seeking an Engineering Manager to lead and grow its highly driven Agent Engine team. This team designs and builds powerful agentic experiences, including Perplexity Computer, the Comet ecosystem, and the Agent API. The role involves bringing AI expertise, sharp product intuition, and strong leadership skills to advance the frontier of what agents can accomplish for millions of users. The manager will lead, grow, and support the team in solving open problems in AI, such as designing agent harnesses, leveraging action and decision models, providing excellent cross-environment experiences, developing secure agentic capabilities, and optimizing data representations for agent-environment interactions.

$300k - $485k

Perplexity AI

Perplexity is seeking energetic engineers to join our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As an engineer on our Agent Engine team, you'll bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You'll work across engineering and applied research to solve many open problems in AI.

$250k - $405k

Perplexity AI

Perplexity is seeking energetic researchers and engineers to join its Secure Intelligence Institute (SII), a flagship research center focused on advancing security, privacy, and trust in frontier intelligence. The SII aims to push the boundaries of AI security research, implement these advancements into Perplexity's systems, and share knowledge to benefit the wider AI ecosystem. As a member of SII, you will conduct original and impactful research to enhance the security and privacy of frontier intelligence systems. Your work should be both theoretically rigorous and practically applicable to improving the systems used by millions daily. You will leverage insights from operating large-scale AI systems and translate research findings, both internal and external, into practical improvements that safeguard Perplexity's users.

$220k - $405k

Perplexity AI

Perplexity is seeking software engineers to join our Training Infrastructure team. This team is responsible for large-scale RL and agent evaluation platforms that enable the company to train state-of-the-art models and optimize agent harnesses. As a full-stack engineer on this team, you will build distributed systems that orchestrate AI workloads across global-scale compute infrastructure, define novel user and agent interfaces for designing, managing, and launching experiments, and create tools that make experiment results legible to humans and agents alike. A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration.

$220k - $405k

Perplexity AI

The AI Acceleration team is dedicated to making Perplexity the premier platform for building and deploying AI agents. We develop the essential infrastructure that engineers and agents rely on, while also pioneering novel methods for agents to write, test, review, and ship code. Our work empowers teams to transition from concept to production more rapidly, without sacrificing quality or reliability. We oversee the entire development lifecycle at Perplexity, from the initial coding environment to the production deployment systems. This encompasses local and cloud coding environments, build and test infrastructure, code review processes, and release management. Furthermore, we are constructing autonomous software development systems where agents handle increasingly complex engineering tasks, supported by explicit evaluation, verification, and safety protocols. We are responsible for both the underlying infrastructure and the workflows that ensure these systems are effective.

$250k - $405k

Netomi is seeking a hands-on DevOps Architect to design, build, and manage cloud infrastructure on AWS for their agentic AI platform. This role involves setting technical direction, writing infrastructure and automation code, and advising client stakeholders. The architect will also play a crucial part in leveraging AI tools to enhance development speed and quality while maintaining security standards. The company works with major global brands to enable AI-powered automation in customer experience.

Salary not listed

The RL infrastructure team is looking for an engineer to help develop our RL training framework. This role involves designing and implementing the systems that support all RL workloads at SpaceXSI, from small-scale experiments to production training runs. You will be responsible for profiling, debugging, and optimizing the end-to-end training performance, as well as improving the scalability and observability of the RL stack.

$180k - $440k

Mirage is an AI video company focused on making creation dramatically easier by tackling complex challenges in generative media. We are building multimodal agents that transform creative direction into edits, rendering engines that composite video and graphics, and generative video models. Our flagship creative workspace is Captions, powered by our Tesseract engine which provides AI agents with native video-editing capabilities and offers APIs for developers to integrate our models into their products.

$175k - $300k

Fal

fal is building the generative media ecosystem for the next generation of AI products, providing the infrastructure, tools, and model access needed to move from idea to production at scale. We offer a unified platform for high-performance inference, orchestration, and observability, enabling new categories of AI-native products. As generative media reshapes industries, fal is becoming the foundation for ambitious teams. This role focuses on empowering fal's ML team by developing automation, infrastructure, and developer tooling to streamline the development, testing, and deployment of generative AI models. You will own and enhance CI/CD systems for a growing collection of ML models and inference pipelines, aiming to eliminate manual work, accelerate development cycles, and build reliable systems for confident model shipping and optimization.

$170k - $230k

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack, from supercomputers to Grok models and a suite of applications. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.

$180k - $440k

Mirage is an AI video company focused on making creation dramatically easier by building multimodal agents that turn creative direction into edits, rendering engines that composite video and graphics, and generative video models. Our technology, including Captions (a creative workspace) and Tesseract (a video engine for AI agents), is now available more broadly through APIs. This role focuses on designing and building agentic systems that power creative workflows for short-form video, shaping how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for users. You will experiment with emerging models and techniques to bring these experiences to life in production, working across product, machine-learning, and systems engineering to own problems end-to-end and help define how our agents are built and deployed.

$175k - $300k

SpaceX is building Super Intelligence to help humanity understand the universe, developing the full Super Intelligence stack from supercomputers to large language models and applications. This role focuses on the most critical post-training and reinforcement learning challenges, including reward modeling, preference optimization (RLHF/DPO), and RL for improving reasoning, truthfulness, and real-world capabilities. You will work on cutting-edge AI problems with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

$180k - $600k

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

$180k - $440k

SpaceXSI is building Super Intelligence to help humanity understand the universe, creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. You will own and elevate our mission-critical research platform that directly accelerates SpaceXSI's frontier work. The evals team creates and executes instruments for measuring model capabilities and behaviors, used to clean datasets, provide feedback for experiments, and track growth throughout training. We also diagnose why agents fail and how to make improvements, managing execution infrastructure, designing data sets and grading schemes. You will design, build, and ship delightful and bulletproof systems that engineers love to use every day, valuing strong attention to detail, first principles reasoning, and great taste.

$175k - $275k

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.

$180k - $440k

SpaceXSI is building Super Intelligence to help humanity understand the universe, developing the full Super Intelligence stack from supercomputers to large language models and applications. This role is at the intersection of engineering and data operations, focusing on ensuring engineering teams receive high-quality data for training and evaluation. You will partner with model teams, design projects to capture meaningful signals, and drive data yield and evaluation lift, influencing data strategy through hands-on technical work.

$144k - $220k

Vanta

Vanta is seeking a Staff Software Engineer to join their AI and Data Risk team. This role will focus on identifying and leading strategic technical initiatives, developing privacy, AI, and risk management features, and setting technical direction for the engineering team. The engineer will partner with product management and design to accelerate product development and ensure a consistent customer experience. This is a remote-first position with opportunities to shape engineering practices and contribute to a rapidly scaling company.

Salary not listed

Composio

Composio is building infrastructure that enables AI agents to communicate with essential work tools like Github, Gmail, and Notion. We are a growing company that has successfully raised significant funding and experienced substantial ARR growth, serving a diverse range of clients from startups to established enterprises. Our mission is to provide a robust bridge between AI agents and the tools people use daily.

Salary not listed

Vannevar is seeking an experienced full-stack engineer to advance the design and implementation of our Decision Advantage product. This critical platform enables defense and intelligence operators to gain comprehensive situational awareness of the information environment, helping them understand and counter adversary influence operations and information warfare tactics. You will build the applications our warfighters and intelligence analysts use daily for mission-critical work, developing advanced products and features for information distillation, analysis, and visualization that enable rapid assessment of the information environment. Working alongside designers, engineers, subject matter experts, and operational users, you will transform complex intelligence requirements into intuitive, mission-ready workflows that directly support national security objectives. In this role, you will work in a small cross-functional team focused on delivering Decision Advantage capabilities to defense customers engaged in strategic competition with near-peer adversaries. You will work on all aspects of the product - everything from data (extraction, ingestion), backend (storage, indexing, APIs), frontend, AI analysis (agents), and more. The platform has a strong foundation to build upon and there is a ton of opportunity to make an impact as we take it to the next level.

Salary not listed

AiPrise

AiPrise is seeking a Staff Software Engineer in Bangalore to define the technical direction for its core compliance orchestration and AI agent systems. This senior individual contributor role involves owning platform architecture, leading complex multi-quarter initiatives, and elevating engineering standards within a rapidly growing team. You will collaborate with leadership to translate customer and regulatory needs into technical strategy and ensure the reliability, security, and data integrity of the platform, which processes verification requests for financial institutions in a regulated environment. This is an opportunity to significantly influence the platform's scalability and contribute directly through coding.

INR 8000k - INR 12000k

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is an opportunity to join a fast-scaling company at an inflection point, defining a new category in real-time. The team operates with intensity, ownership, and a commitment to excellence, guided by values of Decisiveness, Simplicity, and Job's Not Finished. We are looking for driven individuals to do the best work of their careers alongside like-minded colleagues.

$230k - $340k

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is an opportunity to help build a generational company at an inflection point, with strong product-market fit and investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As a Member of Technical Staff, Infrastructure, you will build the systems that power how we adapt and improve leading open-weight models for legal work, focusing on scaling post-training efforts and owning the infrastructure behind distributed training, RL rollouts, agent environments, and internal tooling for data management, evals, and job tracking.

$230k - $340k