Remote LLM Jobs

Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This is a unique opportunity to join a fast-scaling company at an inflection point, defining a new category in real-time. The team is driven, ambitious, and committed to excellence, valuing decisiveness, simplicity, and continuous improvement. As a Member of Technical Staff in Harvey Research, you will adapt and improve leading open-weight models for legal work, focusing on post-training efforts including SFT and RL, reward design, and verification for complex legal tasks. You will contribute to setting research direction and bringing ideas from experimentation to customer-facing models within a high-bar, hands-on team.

$230k - $340k

Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This is an opportunity to join a fast-scaling company at an inflection point, defining a new category in real time. The team operates with intensity, ownership, and a commitment to excellence, driven by values of Decisiveness, Simplicity, and Job's Not Finished. As a Member of Technical Staff in Harvey Research, you will build the data and measurement systems crucial for post-training, benchmarking, and agent capability development. You will own synthetic data pipelines, evaluation design, and systems that convert expert feedback into training signals, tackling the core research challenge of defining and measuring quality in tasks where correctness is not always automatically verifiable.

$230k - $340k

At NVIDIA OpenShell, we are building the runtime infrastructure for secure, scalable, production-grade AI agents. As an OpenShell Research Engineer, you will help bring the latest advances in agentic systems into the runtime, tools, and workflows that enterprise builders rely on. This role sits at the intersection of research, product, and engineering, requiring you to identify promising methods from academia and industry, validate their impact through prototypes and benchmarks, and help integrate the best ideas into the product.

$184k - $288k

NVIDIA is seeking a Senior Research Engineer passionate about Generative AI inference to help revolutionize how AI is integrated into products and services. Our team is at the forefront of developing optimized inferencing technologies for a wide range of generative AI models, from language to images. We are involved in the entire machine learning lifecycle, from initial concepts and applied research to engineering for optimized inference and final deployment. This role involves close collaboration with research teams, engineers, and the open-source community.

$192k - $357k

NVIDIA is seeking a technical Senior Developer Relations professional to engage in deep collaborations with security companies building solutions for the AI and Agentic era. In this role, you will work directly with security companies, guiding them on how to leverage the NVIDIA software stack when developing solutions to secure AI and Agentic environments and other processing workloads. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating about how NVIDIA technology can solve complex, real-world challenges.

$184k - $357k

Cohere

Cohere is seeking a Staff Forward Deployed Engineer to bridge the gap between frontier AI capabilities and complex customer realities. This role involves architecting high-performance, resilient machine learning systems within enterprise environments, acting as the primary technical liaison between Cohere's core engineering teams and strategic partners. You will own the architecture for customer-specific inference challenges, ensuring our large language models operate reliably, securely, and at peak performance within client infrastructure. The goal is to achieve exceptionally low latency, high throughput, and seamless resilience in production deployments.

$240k - $415k

Pinecone

We are seeking an Applied AI Engineer to build real-world AI applications, working across the full stack from backend services and retrieval pipelines to APIs and user-facing applications. This hands-on role is for someone who enjoys rapid experimentation with emerging technologies and taking ownership of projects from concept to production. You will collaborate closely with engineering and product teams, as well as customers and partners, to explore new use cases, develop reference applications, and showcase the capabilities of Pinecone's technology. The ideal candidate possesses strong full-stack engineering skills combined with practical experience in LLM-powered applications and agentic systems, comfortable with architecture discussions, production code, and prototyping.

$190k - $270k

Supabase

Supabase is seeking a Software Engineer to join their Turso core database team. This role focuses on advancing the future of agentic databases, specifically by contributing to the Turso Open Source database and its Cloud offering. You will work on enhancing Postgres compatibility, ensuring system reliability, maintaining cloud operations, and improving scalability to support a massive increase in database usage. The ideal candidate thrives in a fast-paced, asynchronous environment and is passionate about building scalable database technologies for a world with millions of daily agent-created databases.

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

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

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

Blee

Blee is seeking an Applied Scientist to specialize in agent system design, focusing on architecting and implementing the next generation of intelligent compliance systems. This role involves designing frameworks where multiple agents, powered by custom and foundational models, collaborate to identify, track, and explain compliance flags. You will also be responsible for building and optimizing applied AI/ML pipelines, including model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and training models based on user feedback to deliver more targeted compliance recommendations.

$150k - $275k

d-Matrix

d-Matrix is seeking a Senior Staff Inference Performance Engineer to join their Inference Cloud Engineering team. This role is responsible for the end-to-end performance of workloads deployed on d-Matrix's inference services, ensuring they perform at least as well as on bare metal. The engineer will diagnose and isolate performance issues across the full serving path, from orchestration to inference internals, and will be responsible for either fixing problems directly or handing them off to the appropriate owning team with clear evidence. The role involves assessing scalability, defining node requirements for optimal deployment, and building telemetry and benchmarks to support these efforts. The ideal candidate will mentor other engineers in a profiling-first methodology.

$175k - $265k

d-Matrix

d-Matrix is seeking a Principal Test Automation Engineer to define and build AI-enabled automation across the software development lifecycle, from build and CI through testing and release. This role involves setting technical direction for AI-enabled workflow automation, building foundational components like agent harnesses and integrations, and developing evaluation methods to ensure automation effectiveness. You will work hands-on, shipping critical components and collaborating with other engineers to raise the bar for AI adoption in daily engineering tasks. The ideal candidate will have extensive production software engineering experience, strong Python skills, and experience shipping AI-enabled tools in production.

$195k - $285k

Cohere

Cohere is seeking a Member of Technical Staff to join our Post-Training Data Infrastructure team. In this role, you will be responsible for building and managing the critical data pipelines that generate post-training data for our large language models (LLMs). This includes data for SFT, preference, and RL post-training, as well as synthetic and human-annotated data. You will collaborate closely with researchers and annotation teams to ensure rapid iteration on data, enabling them to keep pace with model development. Your work will be instrumental in advancing the capabilities of our foundation AI models and delivering value to enterprise customers.

CA$295k - CA$535k

Fieldguide is seeking a Senior Manager, Deployed Engineering to join their team. This role is a player-coach position, starting with hands-on involvement in customer deployments, writing production code, and solving complex technical challenges. As the team grows, the focus will shift towards leadership, but maintaining close proximity to the work. The Senior Manager will report to the CTO/co-founder and collaborate with Product, Engineering, and Customer leadership to build and scale the forward deployed engineering effort.

$210k - $305k

Cohere

Cohere is seeking a Member of Technical Staff to focus on post-training large language models (LLMs) using reinforcement learning and developing methods for improved generalization. This role involves designing training recipes, environments, and evaluations to ensure models learn skills effectively and generalize beyond their training data. You will collaborate with data infrastructure, evaluation, and pre-training teams to translate research findings into robust training procedures for production models. The ideal candidate is passionate about advancing AI capabilities and contributing to the widespread adoption of AI in enterprise solutions.

CA$295k - CA$535k

Toast

Toast is seeking a Staff Software Engineer to join the Developer Experience team. This role will focus on setting the technical direction for how Toast engineers build software, identifying and solving high-leverage problems within the developer workflow. You will design and build solutions that impact hundreds of services and teams, with a particular focus on defining the future of AI-native developer experiences. The Developer Experience team builds the tools and platforms that Toast engineers use daily, including local development environments, build tooling, shared libraries, internal developer portals, and testing frameworks. Our goal is to empower every engineer at Toast to be faster, more independent, and more confident in their work.

$151k - $309k

Jeeves is seeking a Senior AI Engineer to own AI workflows end-to-end, from design and implementation to measurement and continuous improvement. This hands-on role requires an AI-native approach, utilizing coding agents and AI tools daily to drive efficiency. You will collaborate closely with Product and Backend Engineering teams, taking initiative to define and build solutions rather than waiting for detailed specifications. The position is ideal for individuals who thrive on solving complex problems and are looking for a steep learning curve in a fast-growing fintech company.

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.

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.

Code Metal

Code Metal is seeking a Staff AI Platform Engineer to architect and build the foundational AI enablement stack that internal engineering teams rely on. This role involves designing and operating production systems for GPU inference serving, model gateways, agent harnesses, context management, and observability. While primarily an engineering role focused on building and operating production systems, it also requires solid data science and AI research fundamentals to work closely with the AI Research team and conduct experiments when necessary. The platform is built to product standards, ensuring reliability and scalability for AI-driven code transpilation, modernization, optimization, modeling, and simulation solutions.

$205k - $250k

Trust Wallet

Trust Wallet is seeking a Lead AI Engineer to take ownership of the backend and Agent systems for their LLM-powered products. This end-to-end role involves building Agent workflows, defining quality metrics, ensuring production reliability, and influencing future product direction. The ideal candidate has a proven track record of shipping LLM features to real users, maintaining them post-launch, and demonstrating measurable improvements through data.

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