LLM Jobs

Figma is seeking a Support Engineer for its AI Infrastructure & Tooling team. This role will be the technical execution layer, bringing together support tools, customer context, internal systems, and AI workflows. You will design, build, and operationalize integrations across various systems to automate workflows, connect systems, and streamline support operations. The goal is to enhance the customer and Specialist experience by applying AI to improve support workflows, quality, and efficiency, ensuring the right context is available for issue resolution.

$169k - $245k

Databricks

Databricks is seeking a PhD GenAI Research Scientist Intern to join their Mosaic AI organization. This role focuses on pushing the frontier of domain adaptation for Large Language Models (LLMs) and AI systems, enabling them to work effectively within custom enterprise domains. You will tackle open research problems related to scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and efficient inference. The intern will collaborate with the research team on projects involving adapting, improving, and evaluating existing methods, designing novel domain adaptation techniques, and composing multiple methods for efficient post-training.

$0k - $0k

Scale AI

As a Forward Deployed AI Engineering Manager on the Enterprise team, you will serve as the technical bridge between Scale AI's advanced AI capabilities and strategic customers. This management role requires a blend of deep engineering and AI expertise, team leadership, and customer-facing problem-solving. You will collaborate with enterprise clients to understand their unique challenges, lead a team in architecting specific AI solutions, and ensure the successful deployment and adoption of AI systems within their production environments. You will work directly with customer engineering teams to integrate AI into their critical workflows.

$227k - $325k

Together AI

The Developer Experience (DevX) team at Together AI is responsible for how developers learn and build on the platform, managing the documentation site, API reference, quickstarts, and cookbooks. They treat documentation as a product, with content living in Git and publishing through Mintlify, synchronized with the API via CI/CD automation. The team also focuses on making content accessible to AI coding agents, developing a house style guide for AI-assisted authoring and structured content. As a Technical Writer Intern on DevX, you will write, test, and ship documentation used by thousands of developers. You will be paired with a mentor and own significant projects from scoping to launch, with real users and metrics. This is a hands-on, technical role where you will run the code you document, call APIs, and contribute to the documentation repository from your first week. Potential projects include building migration kits, making documentation agent-ready, generating CLI reference from source, and writing evaluation design tutorials.

NVIDIA is seeking a research engineer to join the Isaac team, focusing on physical AI for robotics. This role involves developing simulation tools for scientists and companies leveraging machine learning in robotics. You will bridge the gap between Isaac product engineering and NVIDIA Robotics research, transforming research concepts into product features and providing user feedback to the research loop. The team works at the intersection of simulation and machine learning, aiming to create the leading tool for evaluating robot foundation models in simulation, building on NVIDIA's expertise in photorealistic rendering and physics simulation.

$184k - $357k

NVIDIA is seeking New College Graduates to join our GPU compute architecture and performance engineering team. This role focuses on pre-silicon modeling, data-supported architecture exploration, and GPU microarchitecture improvement for generative AI workloads, including LLM inference and agentic AI. You will contribute to improving the efficiency and scalability of these models on NVIDIA platforms, gaining hands-on experience with performance modeling, bottleneck analysis, and system-level analysis. This is an opportunity to shape the performance of next-generation AI models in data center and edge environments by developing system-level modeling and correlation solutions.

$124k - $242k

Join the AI & Automation Supply Chain Business Transformations team at NVIDIA Operations to develop the future of agentic AI at scale. As a Senior AI Engineer, you will codify decision logic and implement decision intelligence, ensuring AI Agents deliver trusted, scalable, and innovative value. This is a unique opportunity to define AI agents for Supply Chain Operations within a leading AI company. If you are passionate about AI innovation and Supply Chain transformation, contribute to the future of agentic AI.

$224k - $357k

Salesforce is seeking a Forward Deployed Engineering (FDE) Intern to join a team focused on building and deploying AI agent solutions for government, nonprofit, and education organizations. This internship offers a unique opportunity to work alongside experienced engineers and strategists, gaining hands-on experience with cutting-edge AI tools and platforms. Interns will shadow customer engagements, contribute to the development of AI agents that perform real actions, and own a project that could be integrated into customer solutions. The program emphasizes learning, experimentation, and direct contribution to the evolution of Salesforce's AI capabilities.

NVIDIA is seeking a Senior Software Engineer to focus on AI Inference Performance, advancing innovative LLM and VLM inference on NVIDIA GPU-accelerated systems. This hands-on role involves pushing workloads to practical performance limits, delivering measurable gains in latency, throughput, efficiency, and scale. You will translate performance models and profiler data into working code, collaborating with various teams and contributing improvements to open-source inference engines. Your work will directly impact production deployments and help shape future NVIDIA platforms.

$184k - $357k

Databricks

The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. As Staff Software Engineer on the Web Platform team, you will own the platform layer that the rest of the team builds on, including the web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up, with the north star architecture being defined now, and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice.

$198k - $273k

This customer-facing role involves owning the end-to-end technical relationship with enterprise clients, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. You will serve as the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch, and will be comfortable collaborating with both customer IT teams and internal engineering and product teams. This is not a back-office role; you will be in front of customers regularly and are expected to travel up to 25% of the time.

$143k - $243k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are looking for a Senior Customer AI Engineer to join our Token Factory team. This role is at the intersection of engineering, delivery, and customer success, ensuring that customer AI workloads transition smoothly from proof-of-concept to production and scale reliably on Nebius infrastructure. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments.

$210k - $262k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy, from data and model training through to production deployment. The Nebius Token Factory is seeking scientists to tackle frontier LLM and VLM inference bottlenecks by turning them into research questions, conducting rigorous experiments, and translating findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts for engineers to build upon. Your research will cover areas like quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will evaluate trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and collaborate with engineering teams to bring promising results into production.

$195k - $262k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work directly with Physical AI customers to understand their workloads and production requirements. Your insights will shape our core infrastructure products and inform future development by connecting needs across Physical AI industries with product decisions. You will also investigate opportunities for new Nebius products by developing hypotheses about unmet needs, examining demand, and building prototypes to test with customers. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure alongside customer engineers, with close collaboration across customers, NVIDIA, Product, and Engineering.

$180k - $224k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work alongside Physical AI customers to understand their workloads and production requirements, translating these into actionable insights for our core infrastructure products. You will also investigate and prototype new product opportunities based on unmet customer needs, helping to shape the future of Nebius' offerings. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure in close collaboration with customers, NVIDIA, Product, and Engineering teams.

Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to high-quality web content. As a Forward Deployed Engineer, Enterprise, you will work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You will own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. This is a full-time, on-site role based in our New York office.

$180k - $224k

Nebius is a leading AI cloud platform provider, supporting developers and enterprises from data training to production deployment. Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to trustworthy web content. The Forward Deployed Engineering team at Tavily focuses on technical partnerships across the AI ecosystem, including model providers, agent frameworks, and infrastructure companies. This role involves working directly with strategic partners to design, build, and launch solutions that integrate Tavily into the agent stack, acting as both a builder and a technical partner to ship code, influence product direction, and help Tavily become the default search and web access layer for agentic applications.

$113k - $184k

Nebius is a leading cloud infrastructure provider for the global AI economy, building a full-stack AI cloud platform. We are seeking a Senior Customer AI Engineer to join our Token Factory team. This role focuses on helping customers successfully transition their AI workloads from proof-of-concept to production and scale them on Nebius infrastructure. You will operate at the intersection of engineering, delivery, and customer success, ensuring reliable, performant, and cost-efficient deployments. You will collaborate closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams.

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Senior Machine Learning Engineer on the Applied AI team, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization, model compression, speculative decoding, KV-cache optimization, inference engines, and serving architecture to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will collaborate with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions, validating improvements through reproducible benchmarks and safe production rollouts.

$195k - $262k

Scale AI

As a Forward Deployed AI Engineering Manager on the Enterprise team, you will serve as the technical bridge between Scale AI's advanced AI capabilities and strategic customers. This management role requires a blend of deep engineering and AI expertise, team leadership, and customer-facing problem-solving. You will collaborate with enterprise clients to understand their unique challenges, lead a team in architecting specific AI solutions, and ensure the successful deployment and adoption of AI systems within their production environments. You will work directly with customer engineering teams to integrate AI into their critical workflows.

$227k - $325k