AI Startup Jobs

ClaimSorted is transforming the insurance industry by building a more resilient world where individuals and businesses can confidently pursue opportunities. We empower the world's largest insurers and Fortune 500 companies to handle claims and manage risk more efficiently, enabling them and those they protect to move forward with confidence. Having experienced 10x growth in the past year, backed by prominent investors, we are seeking a Product Engineer // AI to develop automations that will revolutionize claims handling, making it fast, reliable, and scalable for the insurance industry.

£80k - £150k

Tenstorrent is seeking a Field Application Engineer with a strong background in AI/ML to join their team. This customer-facing role involves collaborating closely with sales and enterprise clients to drive the adoption of Tenstorrent's cutting-edge AI hardware and software solutions. You will leverage your deep technical expertise to understand customer challenges, provide effective solutions, and act as a bridge between customers and product teams, influencing future product development. The ideal candidate is passionate about generative models and LLMs, and excels at communicating complex technical concepts to diverse audiences.

Salary not listed

As a Junior Full-Stack Engineer at Escape, you will play a crucial role in shaping the core of our AI-powered cybersecurity products. Working closely with senior engineers and technical leads, you will deliver features and improvements across the entire product. This is an excellent opportunity for an early-career engineer to gain hands-on experience in AI-driven security, work across both frontend and backend development, and witness the direct impact of your contributions in production.

€0k - €0k

Speechmatics is seeking a Senior Machine Learning Engineer to join their Research & Development team, focusing on cutting-edge speech technology. The company is a global leader in Voice AI, aiming to understand every voice through innovation and inclusivity. The Modelling Team trains diverse models, including large self-supervised ones, to enhance speech recognition accuracy and ensure their deployment into production using the latest ML developments and robust engineering practices.

Salary not listed

Gigi is an agentic operating system for enterprise media buying, with its first product being an AI media manager for Amazon DSP. Since its launch, the company has grown significantly, managing substantial advertising spend for major agencies and securing backing from prominent venture investors. The founding team brings extensive experience in Amazon Ads and e-commerce, including a prior successful exit. We are seeking an AI Ads Product Builder/FDE to join our engineering team in Toronto. This role blends advertising domain knowledge, hands-on software development, and client service to build and deploy AI-powered products, workflows, and integrations within Gigi. As a Forward Deployed Engineer, you will collaborate directly with agency leaders and ads managers, working on the solutions they use daily. While not requiring deep AI research or extensive LLM experience, this is a hands-on software engineering position focused on understanding advertising business needs and translating them into functional software. You will be comfortable explaining technical concepts to non-technical stakeholders and utilizing tools like Codex, Claude Code, and Cursor as part of your development process, contributing to agent logic, backend services, data, and the customer-facing product.

$110k - $200k

Gigi is seeking an AI Agent Engineer to join their engineering team in Toronto. This role focuses on the end-to-end development of AI agents and workflows for Gigi, an AI media manager for Amazon DSP. While fundamentally a software engineering role involving API design, data modeling, service integration, testing, and debugging, the core focus will be on how Large Language Models (LLMs) reason, utilize tools, maintain context, and take actions for customers, and the software that ensures these actions are reliable. The ideal candidate is a strong software engineer who has begun building with LLMs and agents and is eager to expand their expertise, rather than an AI researcher or someone with extensive LLM experience. As an early employee, you will significantly influence the product, engineering culture, and company direction.

$110k - $200k

d-Matrix

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate individuals driven by execution to join us in shaping the future of AI. As a Staff-level individual contributor on the Software Infrastructure team, you will drive the automation for our CI/CD and release pipeline. This involves diagnosing and fixing pipeline failures, such as identifying real regressions, flaky hardware, or infrastructure issues, and pinpointing the exact merge that caused overnight test failures. You will blend AI techniques with traditional software automation to build highly reliable systems and architect compute and storage solutions across cloud and on-prem environments. Your role will involve partnering with various teams to develop and spread best practices, reducing developer toil and accelerating development velocity.

$155k - $235k

At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system, extracting 3D object and line features from dense LiDAR point clouds and imagery. This product-focused role involves working closely with customers to develop Computer Vision/Machine Learning pipelines and workflows that solve their problems. You will be responsible for shipping new features and product lines end-to-end, from data strategy and model training to evaluation. This position is ideal for early-career engineers who learn quickly, are curious, and find satisfaction in shipping impactful products.

$180k - $300k

Runpod

Runpod is seeking a Senior ML Systems Engineer focused on Inference to lead efforts in making LLM inference the fastest and most cost-efficient on their platform. This role involves owning LLM serving performance end-to-end, measuring, understanding, and improving it across various models, hardware, and workloads. The work directly impacts customer latency and cost, requiring a hands-on approach to identify and fix bottlenecks, and ensure reliable production deployment. The ideal candidate will be passionate about AI infrastructure and contribute to building the platform for the next generation of AI developers.

$150k - $220k

Tenstorrent is seeking a Workload Performance Analysis Engineer to optimize the performance of next-generation RISC-V CPUs for modern datacenter and agentic AI workloads. This role bridges hardware and software, focusing on bringing real-world applications to RISC-V platforms, analyzing their behavior, and identifying opportunities for improved CPU performance, efficiency, and scalability. You will collaborate with CPU architects, designers, and software engineers to understand how demanding workloads interact with the CPU and translate these insights into architectural enhancements. Your work will directly impact CPU architecture and performance across cloud, enterprise, and emerging AI workloads.

$100k - $500k

Join us as we build the next generation of enterprise search infrastructure powering AI agents. Our mission is to evolve from traditional product-specific search systems into a composable, agent-native platform that enables agents and applications to discover, retrieve, reason over, and recommend information across heterogeneous enterprise data sources. As a Senior Staff Engineer, you will be the technical owner for foundational search infrastructure that serves as the backbone of our agentic platform. You will drive the architecture, scalability, and evolution of core indexing and retrieval systems while partnering closely with Search Ranking, ML, Platform, and AI teams to deliver production-grade search capabilities that power agent experiences across the company.

$191k - $334k

Moveworks is seeking an Agentic AI Harness Architect to define the technical vision for our agentic AI harness. This role involves planning, selecting tools, managing context, and implementing memory, critique, reflection, adaptation, and recovery mechanisms for AI agents. You will invent and prototype algorithms to enable agents to complete complex tasks with minimal supervision and high reliability. The position requires designing model-agnostic abstractions to integrate foundation models, specialized agents, enterprise tools, and workflows, while developing approaches for agent memory and learning that prioritize enterprise security and privacy. You will also create rigorous benchmarks and evaluation methods for agent performance and explore advanced methods like iterative planning, self-critique, and multi-agent coordination. The role includes building prototypes, identifying promising ideas, and collaborating with platform and product teams to bring them to production, while remaining hands-on with code and experiments.

$201k - $352k

Escape is seeking a Senior Full-Stack Engineer to join their AI Cybersecurity team. This role is central to the company's product, focusing on owning and evolving the core data model that represents attack surfaces and AI-learned insights. You will be responsible for translating offensive AI research into tangible product features, accessible through a Svelte frontend and GraphQL API. This position offers a high-leverage opportunity to influence technical direction and directly impact what customers see, with a clear path towards technical leadership.

€75k - €90k

Harvey is transforming legal and professional services by integrating advanced agentic AI with an enterprise-grade platform. This role is a founding position on the Security Engineering team, focused on building the foundational security for AI agents. You will lead the development of a platform that enables agents to perform security work, including vulnerability discovery and validation through authorized penetration testing, while ensuring data and system protection. The work involves shaping how agents are sandboxed across product and internal platforms, building execution environments, orchestration, and controls, and enabling the secure internal use of open-source models.

$231k - $346k

Monte Carlo is seeking a Senior Fullstack Engineer to join their team and build the core of their agent trust platform. This role involves developing backend services, distributed systems, and agentic workflows that enable enterprises to monitor and trust AI in production. You will take ownership of problems from initial concept through prototyping, architecture, development, testing, and deployment, ensuring reliability, observability, and scalability as the platform grows. The position is primarily backend-focused but includes shipping React surfaces when necessary, and involves building and maintaining data pipelines for analytics, ML, and customer-facing features. You will collaborate with product, ML, and infrastructure teams to deliver customer value.

$180k - $230k

HUD is seeking a Product Engineer to transform significant product challenges into tangible user experiences across its AI data platform and marketplace. This role involves collaborating with product, design, engineering, research, and go-to-market teams to identify user pain points in AI data creation and training, define product improvements, and develop solutions. The position blends product strategy, interaction design, and full-stack development, requiring the ability to translate complex technical workflows into clear and user-friendly interfaces while retaining necessary detail.

$100k - $225k

Parloa

As a Staff Product Engineer at Parloa, you will work directly within our most strategic enterprise customers to build the software that powers their AI agents in production. You will be responsible for extending Parloa's platform, AMP, by developing custom integrations and capabilities that meet specific customer needs, especially in complex scenarios where off-the-shelf solutions are insufficient. This role involves both long-term engagements, where you'll deepen integrations and grow use cases within an account, and short-term experiments to test new ideas. You will act as the technical lead, owning the architecture and build, and ensuring production quality, security, and adherence to data handling standards. You will also mentor other engineers, contribute to hiring, and set the standard for AI-assisted work validation.

Salary not listed

d-Matrix

d-Matrix is seeking a Sr Staff Site Reliability Engineer to join their AI Infrastructure team. This role is crucial for owning the infrastructure layer that powers all engineering teams and customers, encompassing colocation facilities, on-premises GPU clusters, cloud environments, and platform services. You will be responsible for reliability, automation, and observability across these diverse environments, managing systems end-to-end from provisioning to incident response. This is a hands-on position focused on building and operating real infrastructure, collaborating with hardware and software teams on CI/CD, QA, and HPC workloads, and supporting customer-facing deployments.

$175k - $265k

Tennr

Tennr is seeking a high-agency Senior Backend Engineer to connect advanced ML research with practical product delivery. You will architect and develop agentic workflows designed to tackle complex healthcare processes, addressing infrastructure, workflow, and user experience challenges within the U.S. healthcare system. This role involves constructing data pipelines, evaluation frameworks, and scalable, production-ready agentic systems. You will be tasked with identifying and implementing the most suitable tools and models for each specific workflow, ensuring optimal technology utilization.

$190k - $215k

Handshake is seeking a Member of Technical Staff, Evals to help define how frontier AI systems are measured, understood, and improved. This is a high-ownership role for researchers who build, partnering with AI researchers, domain experts, and customers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques. Early members of the team will have significant influence over technical direction, operating culture, and the open-source software, benchmarks, and research products built. The company prioritizes demonstrated research capability, technical judgment, and a builder's mindset over specific titles, degrees, or career paths.

$200k - $350k

Limrun is seeking an engineer to build and scale its platform, which runs development tools and applications as cloud services that AI agents can use. The role involves deciding on product direction, owning projects from design to maintenance, and participating in an on-call rotation to investigate and resolve production incidents. This is an opportunity to work directly with the founder, shape the engineering team's practices, and explore the application of AI in solving infrastructure challenges.

Salary not listed

Gray Swan AI is seeking a Machine Learning Engineer to play a pivotal role in shaping the future of AI safety solutions. This role blends applied research with system building, focusing on developing new approaches to adversarial testing, model evaluation, and robust inference. You will work at the boundary between research and production, translating novel ideas into scalable AI systems that withstand adversarial pressure. Your expertise in deep learning architectures, distributed systems, and parallel computing will be crucial for tackling complex challenges associated with resource-intensive models and advancing methodologies for controlling, monitoring, and analyzing these models in production environments.

$160k - $257k

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k

Latent is seeking a Machine Learning Engineer to join their team and build systems that run in real clinical workflows. This role involves owning the design, development, and operation of production-grade ML systems from ambiguous problem definition through to reliable production deployment. The ideal candidate will drive systems end-to-end, setting technical direction and taking ownership of critical systems that directly impact real patient outcomes. This is an opportunity to work on mission-critical problems at the intersection of AI and healthcare within a fast-growing, early-stage company backed by top-tier investors.

$225k - $300k