AI Startup Jobs

Handshake AI works directly with frontier labs on their most consequential data, evaluation, and post-training challenges, building systems that turn expert human knowledge into data and evaluations that improve frontier models. Handshake Labs is building external AI products, research platforms, and customer-facing AI systems, evolving custom-built work into reusable products and platforms. This role focuses on building the data systems essential for frontier model training, improving how we generate, process, and prepare complex and sensitive data, whether through synthetic data generation or anonymization while preserving structure. You will partner with researchers, domain experts, legal/compliance stakeholders, and customers to translate ambiguous data questions into experiments, pipelines, and durable products, with significant influence over technical direction, standards, and culture.

Salary not listed

LlamaIndex is seeking a Head of Engineering to lead and develop their engineering team in building software that makes enterprise data useful for AI applications. This is a hands-on role where you will own engineering execution, technical direction, hiring, and team development. You will collaborate closely with company leadership and product teams to define product strategy and delivery. The ideal candidate has shipped and operated B2B API products, with experience in both model serving and model training, from experimentation and evaluation to deployment and production operations.

$200k - $300k

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team to help shape the evolution of careers in the AI economy. This role will focus on developing, deploying, and enhancing machine learning systems for lifecycle optimization, personalized notifications, and monetization strategies. You will work with cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers, contributing to critical marketplace metrics and responsible AI practices.

$150k - $189k

We are seeking an AI Agent & LLM Engineer to join our team and contribute to the AI systems powering Otter’s conversational knowledge engine and AI Chat. This role involves building and enhancing user-facing agent experiences, evaluation systems, and the underlying platform for reliable, large-scale operation. You will translate ambiguous product challenges into production-ready solutions, define quality metrics, and drive improvements across services, models, and user experience.

$155k - $185k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence for home and commercial markets. You will be working within a small but impactful XR team, contributing to critical projects that involve debugging XR applications and running hardware experiments on robots. This role is ideal for someone who thrives on variety and can move quickly without a predefined playbook.

$200k - $400k

LangChain is seeking a Senior Fullstack Engineer to join the team building LangSmith, their commercial observability and evals platform. This role offers the opportunity to significantly influence the platform's technical direction while collaborating with enterprise customers, developer end-users, and internal stakeholders. You will be instrumental in shaping the future of AI agent engineering by contributing to a product used by a significant portion of the Fortune 500.

$175k - $240k

Luma is seeking a Software Engineer to own the serving of their AI models. This role involves integrating new model architectures into the inference engine, scaling deployments across thousands of machines, and optimizing the utilization of expensive GPU fleets while meeting internal service level objectives (SLOs). The work focuses on large-scale inference systems, including scheduling, fleet management, deployment pipelines, and ensuring reliability across diverse clusters and hardware providers. This position is ideal for a strong systems engineer comfortable with model serving and Kubernetes at scale, rather than those seeking pure modeling work.

$195k - $345k

LangChain is building the foundation for agent engineering, enabling developers to create production-ready AI agents. With significant funding and a rapidly growing platform, the company offers open-source tools and a comprehensive platform for building, evaluating, deploying, and operating agents at scale. The LangSmith team specifically focuses on building the core platform for observability, evaluation, and production reliability of AI systems, including tracing, annotation, and run rules. This role is crucial for defining what AI observability looks like at production scale.

$180k - $240k

Luma is seeking a Research Scientist/Engineer to focus on optimizing the performance of their multimodal models. This role involves profiling and enhancing GPU, CPU, and accelerator code to ensure efficient training and scalable deployment without compromising quality. You will be responsible for writing kernels and operations that maximize hardware utilization and minimize latency, requiring deep expertise in GPU optimization, transformer internals, and low-level programming.

$195k - $395k

Luma is seeking a Research Scientist / Engineer to build and optimize the distributed systems that train large-scale multimodal models across thousands of GPUs. This role focuses on advanced parallelism, training stability, and utilization across massive clusters, requiring deep expertise in distributed PyTorch and CUDA. The goal is to provide researchers with reliable, efficient, and scalable infrastructure for innovation.

$195k - $395k

Luma is seeking a Research Scientist/Engineer to build the systems that enable reinforcement learning (RL) at a frontier scale. This role involves coupling policy optimization with large fleets of inference workers, agentic environments, and reward/verification systems to translate model behavior into learning signals. RL is crucial for Luma's models to evolve from capable to useful. This is a full-loop systems problem encompassing training, rollout generation, environment execution, and reward computation across thousands of GPUs, requiring speed, stability, and correctness. The ideal candidate has experience with post-training LLMs using RL, building environments and verifiers, and debugging large-scale asynchronous rollout pipelines.

Salary not listed

Lovable is seeking an infrastructure engineer to build the data ingestion, storage, and query systems that power their agentic software creation platform. This role is crucial for ensuring the reliability of data for applications built on Lovable. The company is a fast-growing AI company based in Stockholm, with a culture of ownership, velocity, and collaboration. They are looking for individuals who are passionate about making a significant impact in the next era of software development.

Salary not listed

Prodigal is seeking a Forward Deployed Engineer to join their AI Agents team. The company provides a connected AI platform for financial institutions, enabling them to make millions of high-stakes decisions daily regarding customer outreach, offers, and case management. Prodigal's AI agents are already in production, analyzing conversations, guiding human agents, and orchestrating outreach. This role involves expanding these AI agents into new areas like originations, document processing, and back-office workflows. The ideal candidate will work on real production AI systems, have end-to-end ownership, and contribute to a fast-paced, intellectually stimulating environment.

Salary not listed

This role focuses on partnering directly with companies to build and operate AI agents in production, transforming prototypes into reliable systems. It's a hands-on, technical position that involves working closely with customer engineers throughout the entire lifecycle, from pre-sales evaluations to post-deployment support. The core objective is to achieve technical success by co-designing agent architectures and ensuring customers can reliably operate these agents at scale using the LangChain suite. This position sits at the intersection of engineering, product, and go-to-market, influencing LangChain's adoption and providing valuable real-world insights back to the platform.

$185k - $315k

Attuned Intelligence

Attuned Intelligence is seeking a hands-on AI Solutions Engineer to build and enhance AI agents for their healthcare customers. This role involves translating customer requirements into functional agent capabilities, including designing prompts, conversation flows, and tool integrations to improve patient access and reduce administrative burdens. You will collaborate with platform engineers to prototype new features, test end-to-end experiences, and transform recurring customer needs into reusable solutions for the Attuned platform. The ultimate goal is to ensure customers have reliable agents that demonstrably improve their operations.

Salary not listed

Tenstorrent is seeking a Workload Performance Optimization Engineer to enhance the performance of software workloads on next-generation RISC-V platforms. This role involves optimizing modern datacenter and agentic AI workloads across various programming languages like Java, Python, and Rust. You will identify performance bottlenecks and develop optimizations at the software, compiler, runtime, and hardware levels to improve throughput, latency, and efficiency. The position bridges software runtimes, compilers, CPU microarchitecture, and RISC-V silicon, requiring profiling of real-world applications, investigating memory and concurrency, and leveraging RISC-V capabilities. You will also contribute to AI-assisted development and automated optimization workflows, directly impacting the RISC-V software ecosystem and future CPU architectures.

$100k - $500k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. We are an in-person company based in San Francisco with a global presence. Our culture is built on values of Trust, Customer Obsession, Craftsmanship, Intensity, and balancing Family. The co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like Salesforce, Facebook, and Google, with Bret currently serving as Board Chair of OpenAI.

$180k - $390k

Metriport is revolutionizing US healthcare by solving the critical problem of medical data exchange. We build the technology infrastructure that connects, transforms, and provides insights from raw healthcare data, making it usable for care teams and their agents to improve patient outcomes. Our platform enables record retrieval in seconds, a process that previously took weeks, empowering clinicians with complete patient information at their fingertips. We are a technology company operating in healthcare, building the system of record for US healthcare. Having secured significant funding and achieved product-market fit with a multi-million dollar ARR and over 100 customers, we are poised for substantial growth.

$180k - $220k

This role focuses on working directly with customers to build and deploy production AI agents, tackling complex problems in applied AI. You will help customers adopt innovative agentic engineering practices and ensure they ship reliable agents into production quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. This is a hands-on, highly technical role that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work, focusing on achieving technical wins and co-designing agent architectures.

$160k - $185k

Tenstorrent is seeking a CPU Cluster Performance Architect to influence the performance and scalability of their next-generation CPUs. This role focuses on the intricate interactions between multiple CPU cores within a cluster, including cache hierarchies, coherent interconnects, memory bandwidth, and overall system behavior. It's a hands-on architecture position that leverages performance models and simulation to identify bottlenecks, evaluate design tradeoffs, and guide architectural decisions early in the development cycle. The architect will collaborate closely with CPU architects, RTL designers, software and compiler teams, and system architects to understand workload characteristics and translate performance insights into tangible architectural enhancements. This is a remote position based in North America, and the company welcomes candidates at various experience levels.

$100k - $500k

Metriport is revolutionizing US healthcare by solving the critical problem of medical data exchange. We transform unusable raw data from legacy systems into a clean, unified format that care teams and their agents can use to improve patient outcomes. Our technology enables rapid data retrieval, providing clinicians with complete patient histories instantly, which can lead to earlier diagnosis and treatment. We are a technology company building every layer of our platform, from data connection and transformation to generating insights, aiming to become the essential infrastructure for US healthcare. Having secured significant funding and achieved product-market fit with millions in ARR and over 100 customers, we are poised for substantial growth.

$200k - $260k

Tenstorrent is a leader in AI technology, aiming to revolutionize performance, usability, and cost-efficiency. As AI redefines computing, our solutions must integrate innovations across software models, compilers, platforms, networking, and semiconductors. We are seeking a CPU Performance Modeling Architect to evaluate, shape, and optimize future CPU architectures. This role involves using performance modeling, workload analysis, and a deep understanding of CPU architecture to address complex design questions. You will collaborate closely with CPU architects, RTL designers, software and compiler teams, and system engineers to identify performance opportunities, assess architectural trade-offs, and translate modeling insights into actionable design decisions.

$100k - $500k

We are seeking an AI Engineer to join our team and contribute to features that empower developers to understand, evaluate, and enhance the performance of their agents. This is a hands-on engineering role where you will bridge the gap between experimentation, benchmarking, and product code, applying insights gained from agent evaluation to shape our framework. Our work focuses on building agentic features into Mastra, including trace intelligence and agent learning capabilities for automatic self-improvement, as well as running Mastra primitives on industry-standard benchmarks to fine-tune configurations.

Salary not listed

sarvam

Sarvam is building the bedrock of Sovereign AI for India, developing a full-stack AI platform focused on research, models, infrastructure, and applications. This role owns the infrastructure for training foundational models at scale, involving deep systems work such as distributed training, parallelism strategies, GPU kernel optimization, and reliability engineering. The position demands a high level of expertise to identify and resolve complex issues that can significantly impact training timelines and costs.

Salary not listed