LLM Jobs

Ema builds AI Employees for HR, IT, and Finance, automating busy work across the employee experience. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team comprises engineers from premier tech companies and graduates of top universities. We are backed by leading investors and are at the forefront of Agentic AI, shipping real systems that run business processes at scale. We are seeking innovative and passionate Machine Learning Engineers who excel at solving complex problems with large datasets, transforming theoretical concepts into practical, scalable solutions, and pushing the boundaries of Natural Language Processing and Information Retrieval.

$160k - $220k

We are seeking an experienced Staff Forward Deployed Engineer to join our team and help build the future of AI-powered software creation. This is a hands-on software engineering role where you will design, write, and ship production code, working directly with customers to translate ambitious ideas into real products. You will be a founding member of our Forward Deployed Engineering (FDE) function, helping to define its engineering standards, ways of working, and collaboration with product teams. This is a unique opportunity to scale a new discipline from scratch, solve novel AI problems, and shape a product and team while remaining deeply hands-on.

$199k - $325k

Harvey is transforming legal and professional services by combining frontier agentic AI with an enterprise-grade platform. As we scale rapidly and take on increasingly complex use cases, we are expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead and scale a team of engineers building the foundational systems that power AI across Harvey. This includes model access and routing, agent and workflow orchestration, evaluation frameworks, tool and context infrastructure, and the observability needed to run LLM-powered products reliably at scale. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities and set the technical direction for how teams across Harvey build, test, and ship AI features. This role requires both technical depth and product intuition, with a focus on making fast, high-quality decisions, working at the cutting edge of applied AI, and growing a team that embodies engineering excellence.

$272k - $355k

Glean is building a world-class Data Organization composed of product data science, applied science, data engineering, and business intelligence groups. This is an applied science role based in our San Francisco office. You will collaborate with product data science and engineering teams to identify techniques, tooling, and process improvements in online A/B experimentation to assist rigorous decision-making across all relevant product domains. You will develop and maintain our A/B experimentation platform based on stakeholder feedback, and write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management, and design teams. You will also conduct end-to-end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results. You will break down end-to-end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design. You will design, develop, and own best practices, tools, and processes across various evaluation problems, e.g., query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, and industry benchmarking.

$180k - $330k

LangChain is seeking an Engineering Manager to lead the team responsible for building LangSmith, our observability and evaluation platform for LLM applications. This role involves defining the technical direction, mentoring a team of engineers, and collaborating with product and design to deliver features that empower developers to build and deploy trustworthy AI systems. You will foster a culture of collaboration, ownership, and technical excellence, ensuring the scalability and reliability of our platform. The position requires a strong technical background and a bias towards shipping quickly while learning from customers.

$220k - $270k

Salesforce is seeking a Software Engineering, AI Systems professional to join Salesforce AI Labs. This role involves building a product that learns from human demonstrations to automate complex workflows across enterprise applications. You will tackle challenging engineering problems related to agent dependability, reasoning, and error recovery. The position offers the opportunity to work directly with customers, own substantial systems from design to deployment, and contribute to taking a new offering from early adoption to general availability, supported by Salesforce's scale.

$149k - $224k

Salesforce AI Research is seeking entrepreneurial Research Interns for Summer 2027 to help build the next generation of Enterprise AI. This is a unique opportunity to work like a founder within Salesforce, exploring high-impact research directions, prototyping cutting-edge AI capabilities, and seeing how ideas are validated with customers and turned into production-ready solutions. Interns will have the freedom to propose and explore new ideas alongside mentors and research scientists, with access to Salesforce's global customer and product ecosystem. The role is ideal for individuals comfortable with ambiguity, bringing energy and focus, and who care as much about customer adoption as technical innovation, offering the pace and ownership of a startup with the reach and resources of Salesforce.

We are seeking an Applied AI Engineer to join our team and build AI-powered features that enhance our product experience and drive business outcomes. This is a hands-on, product-focused role where you will take ideas from concept to production, designing intelligent systems, validating them with users, and transforming them into reliable, scalable services. You will collaborate with cross-functional teams to identify high-impact opportunities, prototype rapidly, and iterate based on data, owning the full lifecycle from experimentation and evaluation to deployment and continuous improvement. The ideal candidate is passionate about applying LLMs and modern ML tooling to real-world challenges, with a strong understanding of systems, tradeoffs, and outcomes, prioritizing performance, quality, latency, and cost in production.

$215k - $250k

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment. We are developing Tinker, a fine-tuning API that empowers researchers and developers to customize frontier AI models. This role focuses on building and enhancing our training systems for Tinker, specifically involving RL systems, numerics, and kernels, to enable users to train models with their own data and algorithms.

$350k - $475k

OpenAI

The Agent Post-Training team at OpenAI is responsible for developing the frontier agents that are shipped to users. This involves training models for products like Codex and ChatGPT, focusing on creating persistent, proactive intelligence that can operate computers, collaborate with humans and other agents, and expand user capabilities. The team defines the next generation of agent abilities, builds the training signals, and runs experiments to realize these advancements. The role specifically focuses on teaching models to operate computers, including navigating browsers and desktops, using tools, reasoning through complex workflows, and completing long-horizon tasks reliably. This position is at the intersection of frontier model training, product behavior, evaluation, and systems engineering, directly influencing the computer-use capabilities of OpenAI's future agents.

$380k - $500k

We are seeking an AI and data architect to design and deliver AI applications that run directly on client data within Snowflake, utilizing Snowflake Cortex. The ideal candidate understands that a strong data foundation and governance are crucial for effective AI models. You will be responsible for the end-to-end development of Cortex-powered applications, from initial architectural design to production deployment, collaborating with clients and engineers to translate abstract concepts into usable systems.

Figma is seeking a hands-on engineering leader to manage and grow its AI Infrastructure team. This team builds the foundational inference systems that power Figma's AI products, ensuring reliability, observability, and seamless integration of cutting-edge models. The role involves defining and executing technical strategy, collaborating across engineering, and directly contributing to the core AI platform. This is an opportunity to join a rapidly growing team at the ground floor and shape the future of AI at Figma.

$258k - $376k

Anthropic

Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions.

$240k - $315k

As a Developer Platform engineer at Notion, you will contribute to the foundational elements that make Notion extensible and connected. You will build tools, APIs, and platform experiences enabling customers to integrate Notion with their external applications, data, and workflows. Your work will empower developers, admins, and builders to create reliable integrations and automations, making it easier to bring their apps and data into the Notion workspace. You will be a key player in establishing the robust technical foundation for Notion's connected workspace vision, contributing to both internal platform improvements and end-user-facing functionality. This role involves tackling complex technical challenges to ensure the long-term quality, reliability, and performance of Notion's platform as it scales.

$179k - $200k

Genmo is a research lab developing sophisticated video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to focus on alignment and post-training techniques for large-scale video generation models. This role is at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate, and safe outputs that align with human preferences and values.

Ironclad is seeking a Technical Lead Manager to lead a team of engineers focused on building production generative AI systems. This role combines hands-on technical leadership with people management, involving setting the technical direction for the team and fostering engineer growth. The team will own the technical roadmap and quality bar for their systems, partnering with product management to translate business needs into technical deliverables. The Tech Lead Manager will also contribute directly through design documents, architectural decisions, and writing production code for critical problems. A key aspect of the role is staying deeply involved in the team's architecture and technical details to effectively review designs, unblock engineers, and make prioritization calls, while also setting and upholding high engineering standards for code quality, testing, and production monitoring.

$188k - $235k

Scale AI

Scale's Machine Learning Research team is at the forefront of AI development, building the foundation for next-generation AI systems. We push the boundaries of frontier models, focusing on safety, reliability, and alignment. Our work encompasses generative AI, reinforcement learning, advanced post-training methods, scalable oversight, synthetic data, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power ML pipelines for numerous industry-leading customers, supporting complex and advanced AI use cases. As an intern, you will contribute to impactful production ML applications and cutting-edge research, guided by world-class researchers and collaborating with leading teams across industry and academia. Interns are expected to deliver real, published, or shipped work.

$120k - $150k

Deepgram

Deepgram is a leading platform for the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and building voice agents at scale. We empower over 1,300 organizations and 200,000 developers to create voice offerings powered by our advanced foundation models, accessible via cloud APIs or self-hosted solutions. Our AI-first approach means every team member is expected to actively use, experiment with, and build AI tools into their daily work, driving innovation and performance. We operate at the rapid pace of AI, requiring adaptability, continuous learning, and a proactive mindset to solve customer challenges and push technological boundaries.

$216k - $338k

Perplexity AI

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k

Anthropic

Anthropic is seeking Software Engineers to join the Memory & Search team, responsible for how Claude remembers users and finds information across Claude.ai, Cowork, and Claude Code. This role involves both user-facing experiences, such as how memory is displayed and edited, and the underlying infrastructure for memory services, indexing, retrieval, and vector search. The team has recently transitioned memory to a dynamic, editable system unified across products, and improved search functionality significantly. The focus is now on developing compelling product features that leverage memory and search, requiring engineers with experience in shipping user-facing products at scale, a strong sense for product quality, and expertise in building agentic systems where models, tools, and user interfaces collaborate. You will drive product experiments, analyze usage, and contribute to the team's product-centric approach. This role also involves close collaboration with product, design, privacy, legal, and safeguards teams to ensure features meet privacy and enterprise requirements.

$405k - $485k

Decagon

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

Decagon

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

Bretton AI

Bretton AI is seeking Product Engineers to transform complex customer challenges into elegant technical solutions. In this role, you will take ownership of significant features from their initial conception through to production. You will collaborate directly with customers to deeply understand their requirements, design scalable architectures, and deliver code that demonstrably enhances compliance operations. This position offers a blend of in-depth technical work and substantial customer impact, where you will develop systems processing thousands of cases, significantly reducing time for compliance teams and directly contributing to company revenue.

$200k - $270k

Crusoe

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k