AI Startup Jobs

Tenstorrent is a leader in AI technology, focusing on performance, ease of use, and cost efficiency. We are building a high-performance RISC-V CPU and a comprehensive AI platform. Join our AI IP software team to help customers integrate AI workloads into products built on Tenstorrent technology. This role involves working directly with customers to integrate models, answer technical questions, and solve integration challenges across models, compilers, and runtime workflows. It's a hands-on software role with opportunities to learn and contribute to cutting-edge AI technology.

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Isomorphic Labs is at the forefront of applying advanced AI to accelerate scientific discovery and develop life-changing medicines. We are building a future where diseases are curtailed or cured, starting with better and faster drug discovery. Join our interdisciplinary team to drive groundbreaking innovation in a collaborative and inspiring culture. We leverage AI to model complex biological phenomena, design novel molecules, and develop innovative medicines to treat devastating diseases. Our world-leading drug design engine utilizes AI models capable of working across multiple therapeutic areas and drug modalities, with continuous innovation in model architecture and cutting-edge capabilities.

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Overview.ai is seeking a Senior Full-Stack Engineer to develop web tools and GenAI applications that enhance their edge-AI vision platform for manufacturing quality control. This role involves owning tools end-to-end, from React/TypeScript interfaces to Python backend services. You will work on the cutting edge of AI, building LLM-powered assistants, synthetic data generation tools, and agent-style workflow builders. The position offers high autonomy within a small, fast-paced team, allowing you to define approaches, ship quickly, and iterate with users.

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Simple AI

Simple AI is seeking founding software engineers to build the core systems behind their state-of-the-art voice AI agents for enterprise clients. This high-ownership role involves working across product to enhance agent speed, reliability, and capabilities in production environments. You will ship customer-facing features, optimize latency and reliability, develop internal tools, troubleshoot complex issues, and scale the platform to meet growing customer demand. Engineers collaborate closely with product and customers, requiring a fast-paced approach, ownership of system components, and a drive to build technology that directly impacts business revenue.

$130k - $280k

Nox Metals is seeking a Machine Learning Engineer to develop production systems that enhance the speed and accuracy of quoting, material selection, planning, and factory decisions. This role involves working with complex operational data, testing hypotheses against real-world outcomes, and deploying effective solutions into production. The focus is on applied machine learning, where models must demonstrably improve decisions, withstand operational conditions, and gain user trust.

$152k - $168k

Mem0 is building the memory layer for AI agents, enabling them to remember conversations, learn from interactions, and build context over time. We are a Y Combinator-backed company with significant funding, powering millions of AI interactions for enterprise customers and an open-source community. This full-time, onsite role in San Francisco, CA, offers a unique opportunity to own the AI product surface of the Mem0 Platform. You will be responsible for the end-to-end frontend development, setting the visual and interaction standards for our dashboard, playground, and documentation. Working directly with the CTO, research, and customers, you will translate complex memory problems into intuitive user interfaces, shipping AI products to real users.

$150k - $250k

Simple AI

Simple AI is seeking an AI Agent Engineer to join their growing team and help build state-of-the-art voice AI agents for enterprise clients. This role involves working directly with customers to transform Simple's voice AI platform into production-ready agents tailored to each business's unique needs. You will engage in both pre-sales and post-sales activities, including creating custom demos, understanding customer workflows, deploying agents, debugging complex issues, enhancing performance, and translating customer feedback into product enhancements. This is a highly technical and customer-facing position for individuals who enjoy coding, interacting with clients, working at a fast pace, and seeing the direct business impact of their work.

$120k - $200k

Physical Intelligence

Physical Intelligence is building a platform to bring general-purpose AI into the physical world, powering robots with foundation models and learning algorithms. As an API Product Engineer, you will develop the core product surface that enables external companies to utilize Pi's models similarly to how they use LLM APIs today. This involves allowing them to bring their own data, fine-tune models, evaluate performance, and run low-latency inference within their own environments. You will own this entire experience, transforming close-knit collaborations into a scalable platform designed to support a vast number of robots.

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As a Deployed Engineer, you will work on challenging applied AI problems, focusing on production systems that support real-world missions for defense, civilian, and intelligence customers. You will help design, deploy, and operate AI agents within secure, regulated, and high-stakes environments. This role offers a fast feedback loop, tangible mission impact, and the opportunity to directly influence the deployment of AI agents across the federal landscape. You will operate in environments demanding security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor, working closely with government engineers and system integrators throughout the entire lifecycle.

$185k - $300k

Moveworks is seeking a Senior Staff Software Engineer to join our Agentic AI Harness & Quality team. This role is for experienced software engineers looking to apply their skills at the forefront of AI agents. You will play a crucial part in advancing the capabilities and reliability of AI agents for enterprise use at scale. You'll contribute to the evolution of our AI Assistant platform, focusing on areas like agent orchestration, secure code execution, performance optimization, agent memory, LLM self-reflection, and knowledge graphs. You will leverage modern enterprise AI tools, including leading LLMs, and work within a team that prioritizes rapid development, scalable infrastructure, and pushing the boundaries of AI value for customers.

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Handshake is seeking a Member of Technical Staff to define how frontier coding agents are benchmarked and improved. This is a high-ownership role for researchers who build, partnering with top AI researchers and software engineers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques focused on AI for Coding. You will tackle core questions in frontier AI progress, including what to measure, how to design effective evaluations, create high-signal feedback, and build actionable data systems. As an early member, you will have significant influence over the team's technical direction, operating culture, and the open-source software, benchmarks, and research products developed.

$200k - $350k

Tenstorrent is seeking engineers to work at the hardware/software boundary, defining how hardware blocks are initialized, coordinated, and used by the runtime. You will determine how workloads are dispatched, scheduled, synchronized, and executed across the accelerator, solving complex performance problems through implementation, bring-up, and debugging. This role involves defining the runtime architecture and implementation that controls execution, scheduling, synchronization, and resource management across Tenstorrent’s custom processor, accelerator, memory, and data-movement IP. You will build low-level runtime components, design runtime interfaces, and analyze bottlenecks across the runtime and hardware/software stack to drive improvements in latency, throughput, scalability, and reliability.

$100k - $500k

Cursor

SpaceXAI is building Super Intelligence to help humanity understand the universe. As a Product Engineer on the Grok Connectors team, you will build integrations that enable Grok, Cursor, and Grok Bot to perform real-world actions within commonly used tools such as Gmail, Outlook, Google Calendar, Microsoft Teams, GitHub, and Slack. You will be responsible for the end-to-end development of features, including OAuth sign-in, token management, tool schema design, ensuring reliability across millions of tool calls, and developing user interfaces for web, desktop, and mobile platforms. This role involves direct collaboration with enterprise customers and partners to deliver trustworthy connectors for large organizations.

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Cognition

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises world-class talent from leading AI companies. We are seeking a founding member for our safety team to tackle critical challenges in AI safety and alignment. This role is hands-on, focusing on ensuring our AI agents behave correctly and safely in real-world applications, rather than solely in research benchmarks. You will play a pivotal role in shaping the safety and alignment of our AI systems.

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Code Metal

Code Metal is seeking a Senior Software Engineer for its AI Platform team. This role involves designing, building, and operating the foundational AI enablement stack that powers the company's AI-driven code solutions. You will contribute to critical components such as GPU inference serving, model gateways, agent harnesses, context engineering, observability, and AI experimentation management. While this is an internal platform, it is built to product standards. The position offers the opportunity to eventually own a specific area, like model serving or agentic infrastructure, while also contributing broadly across the stack. The role requires a blend of strong software engineering skills with solid data science and AI research fundamentals, including occasional experimental work to inform platform decisions.

$170k - $210k

LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. With significant funding and a rapidly growing platform that includes open-source tools and a commercial offering, team members have a meaningful impact on shaping the future of AI technology. The Deployed Engineering team works directly with companies building and running AI agents in production, partnering closely with customer engineers across the full lifecycle to achieve technical wins and ensure reliable operation at scale using the LangChain suite. This role sits at the intersection of engineering, product, and go-to-market, feeding real-world insights back into the platform.

$185k - $300k

Physical Intelligence

Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future physically-actuated devices. The Infrastructure team is central to this mission, building and operating the backbone for training state-of-the-art VLA models, large-scale simulation, and reliable deployment of intelligence across robot fleets. This role involves collaborating closely with researchers, robotics runtime, product, and platform engineers to ensure infrastructure scales from prototype to production-grade deployments.

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LangChain is seeking a Deployed Engineer to join their team in NYC. This role focuses on building and running AI agents in production, moving beyond prototypes to create reliable systems that real teams depend on. You will work directly with customer engineering teams, co-architecting and co-building AI agents, and owning the technical win in pre-sales by designing POCs and guiding evaluations. The position involves helping customers deploy and operate agent-based applications, advising on architecture and best practices, and running technical demos and trainings. This is a hands-on, highly technical role at the intersection of engineering, product, and go-to-market, with a fast feedback loop and visible impact on how AI agents are built in the real world.

$185k - $315k

EnCharge AI is building the next generation AI platform, focusing on a novel in-memory-computing architecture for improved AI inference efficiency and performance. As AI demands evolve, we believe the underlying infrastructure must also advance. We are an experienced team of AI researchers, silicon & systems engineers, and architects, backed by leading investors, aiming to be the essential platform for the next wave of AI innovation. This role involves owning the "harness" layer that enables agents to interact with files, tools, documents, and memory, managing permissions and unattended execution. This layer will be built using a combination of open-source and bespoke code, requiring you to keep pace with rapidly changing models and ensure reliable tool use across different model qualities.

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voize

At voize, we are building AI companions to seamlessly take over digital workflows for frontline workers, giving them more time to care, connect, and be present. Our mission is to amplify human impact through technology, not replace it. Backed by significant funding and trusted by thousands of facilities and hundreds of thousands of users, we combine cutting-edge technology with meaningful social impact. We are looking for a Senior ML Engineer to join our dynamic team and contribute to our mission.

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We are seeking an ML Systems Engineer to contribute to the training of our Lumen LLMs, which are based on open-source software engineering models. This role is interdisciplinary, involving the development and deployment of reinforcement learning training environments, working with large-scale synthetic data pipelines, and building an ML platform for training large models in distributed settings. The goal is to train models that not only provide correct answers but also write readable, maintainable code aligned with architectural patterns. This position is ideal for someone passionate about the evolving landscape of coding agents, where data, RL environments, and opinionated reward functions are shaping future SWE model standards.

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Parloa

Join Parloa in reimagining customer experience with Agentic AI. As a Staff Software Engineer, you will play a critical role in shaping Parloa’s engineering strategy and architecture while staying close to the code. This role is about building resilient, enterprise-grade systems that can scale globally and helping to set the benchmark for engineering excellence in Europe and beyond. You will be responsible for delivering business value by writing code daily, defining and driving technical strategy across multiple teams, and leading team architecture to ensure solutions scale globally for enterprise adoption. The role requires balancing short-term velocity with long-term resilience, making smart trade-offs on complexity, cost, and scalability, while remaining hands-on in writing foundational code, leading design reviews, or refactoring key systems. You will serve as a trusted advisor to leadership, ensuring engineering capacity matches market and customer demands, and setting cultural standards for fearless iteration, bias for action, and pragmatic perfectionism.

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Relevance AI is building the future of the AI workforce, empowering teams to delegate meaningful work to intelligent AI agents. Our platform enables the creation and management of agents that handle complex workflows and decisions, already used by industry leaders. We are backed by prominent investors and have secured Series B funding to accelerate growth. Headquartered in San Francisco and Sydney, we operate on a hybrid model focused on curiosity, collaboration, and execution. This role is crucial for building the factory that ships every feature, focusing on an end-to-end system where coding agents can pick up, build, test, review, and deploy tasks safely and at speed. You will own the developer experience, platform infrastructure, and reliability, shaping the foundations of our AI-native platform and multiplying the output of every engineer and agent.

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Handshake AI works with frontier labs on their most consequential data, evaluation, and post-training challenges, building systems that turn expert human knowledge into data and evaluations to improve frontier models. Handshake Labs is developing external AI products, research platforms, and customer-facing AI systems, evolving custom-built work into reusable products and platforms. This role is for a Member of Technical Staff, Post-Training, a broad, high-ownership position for researchers who build, requiring the ability to reason deeply about model improvement and translate that reasoning into reliable systems. You will partner with researchers, domain experts, and customers to transform ambiguous post-training questions into experiments, evaluation frameworks, data pipelines, and products, with significant influence over technical direction and culture.

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