LLM Jobs

The Agent Analytics team at Amplitude builds systems to help customers understand and improve their AI agents by transforming agent traces, conversations, and evaluation results into actionable insights. These insights are then connected with the broader product experience through reliable, easily explorable, and fast-querying backend services and data infrastructure. As a Software Engineer I on this team, you will contribute to the foundation of a growing AI analytics product, starting with well-scoped backend and data pipeline features. You will gain experience processing agent traces, building APIs for data exploration and export, and enhancing the performance and reliability of analytics systems, learning how engineering decisions impact customer experience.

$125k - $188k

CHAOS Industries is seeking an experienced software engineer to establish and lead the company's practice of using AI to enhance the development and testing of its physical systems and sensing products. This role involves applying machine learning and AI to complex hardware systems, automating root cause analysis, building perception pipelines, interpreting sensor telemetry with LLMs, and deploying anomaly detection. The ideal candidate understands the challenges of physical systems and can build AI workflows that deliver tangible, real-world results. You will work on cutting-edge sensing and defense systems, developing AI-driven frameworks for validation, monitoring, and diagnosis of radar, RF, and sensor fusion products.

$175k - $241k

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products.

$320k - $400k

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

We are seeking a Manager of Data & AI Engineering to lead the development of our next-generation autonomous data intelligence platform for Supply Chain Operations. This role requires a blend of deep technical expertise, strong delivery leadership, and people management skills. You will be responsible for identifying high-impact opportunities, architecting, building, and productionizing solutions that deliver significant business value. The ideal candidate will have hands-on experience in architecture and engineering, coupled with the ability to manage a high-performing team and collaborate effectively with business stakeholders to translate operational challenges into innovative data and AI solutions.

$200k - $322k

NVIDIA is seeking Senior Deep Learning Scientists to advance their work in streaming and agentic multimodal AI. This role involves developing models capable of reasoning, planning, and acting across diverse modalities, with a focus on defining core algorithmic improvements for multimodal foundation models. You will contribute to high-impact, large language models and multimodal AI products that enhance user experiences, working within the Nemotron LLM team to solve real-world agentic AI challenges.

$184k - $288k

The Developer Experience team at Moveworks builds platforms that empower developers working on the Moveworks Agentic AI platform. This role is central to owning the technical foundation for the team's output, focusing on designing and building complex platform challenges related to generality, scalability, and extensibility, all while prioritizing the developer experience. The ideal candidate thinks in systems, ships impactful solutions, and effectively collaborates with and influences others.

$191k - $334k

Knowtex is seeking an ML Engineer / Researcher focused on Large Language Models to contribute to the next generation of their AI stack. This role involves developing and optimizing models for clinical documentation and structured clinical reasoning, aiming to enhance quality, cost, latency, and control. The position is research-heavy with a direct path to production, requiring the design of experiments, building datasets and evaluation systems, and fine-tuning and post-training models. The successful candidate will collaborate closely with engineering and clinical teams to deploy solutions at scale and will play a key role in shaping Knowtex's long-term LLM strategy.

Reducto is seeking a Software Engineer for its Platform team to own the infrastructure behind the company's core API. This role involves ensuring document understanding systems are fast, reliable, and cost-efficient at scale. You will work across Python services, queues, model-serving, Kubernetes, observability, and developer tooling to enhance the platform's robustness. This is a high-leverage infrastructure position for someone who has built and operated production systems, prioritizes latency, reliability, and cost, and is adept at using modern LLM coding tools.

$200k - $325k

Commure is building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform integrates Ambient AI, intelligent Agents, and autonomous Revenue Cycle Management (RCM) to address the $1 trillion administrative burden in healthcare. We empower over 500,000 clinicians across 500+ organizations, handling billions in claims and millions of patient interactions. Our recent $70M raise at a $7B valuation and recognition on the Fortune Future 50 list highlight our significant market impact and innovation. The AI Integration Team is central to this mission, ensuring seamless data flow between our core RCM and Ambient products and over 40 Electronic Medical Records (EMRs). This role involves fetching and writing vital healthcare data via HL7, directly impacting the efficiency and accuracy of care delivery and administrative processes. We seek a Fullstack Engineer who thrives on end-to-end ownership, rapid deployment, and making a tangible difference in patient care.

$130k - $190k

Anthropic

As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will serve as the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude. This involves advising on architecture design decisions, developing evaluation frameworks, and guiding them through cutting-edge implementation patterns for LLMs. You will combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining Anthropic's high standards for safety and reliability.

$280k - $320k

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack, giving us the freedom to develop new approaches across models, agent harnesses, and search infrastructure to use search more effectively, design tools and execution environments around learned behavior, and improve retrieval to support how agents actually work.

Databricks

Databricks is seeking a dedicated Senior Engineering Manager to help grow the AI/BI Dashboard product and service platform. This role involves tackling challenging full-stack and backend problems, focusing on making agentic dashboard authoring and AI insights fast and performant while maintaining high quality. The manager will enable the creation and consumption of Dashboards and BI features across the entire Databricks platform and scale the service to a significantly larger user base. A key aspect of this role is applying AI and LLM technology directly into the product surface and guiding the team to balance quality with performance and cost.

$229k - $314k

Usul is a Silicon Valley AI lab dedicated to rebuilding the infrastructure that equips the Western world, enabling faster technology procurement for the US and its allies. We are seeking a full stack engineer to work on both our government-facing data and workflows platform, and our commercial platform that assists defense companies and startups in winning government contracts. This role involves building intuitive user interfaces and contributing to mission-critical national security solutions.

$160k - $240k

Usul is a Silicon Valley AI lab dedicated to rebuilding the infrastructure that equips the Western world, enabling faster technology procurement for governments and commercial clients. As a Forward Deployed Engineer, you will work directly with operators and government clients to develop and implement AI-driven data and workflows for technology acquisition. You will also contribute to our commercial platform, assisting major defense companies and startups in securing government contracts.

$160k - $240k

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

Anthropic

Anthropic is building AI systems that are safe, beneficial, and transformative, with the mission to develop AI that benefits humanity. This role focuses on applying Claude to scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. The team builds the necessary software, including agent harnesses, integrations, evaluations, and working processes, to turn a partner's problem into something Claude can make progress on and validate. This is an engineering role where you will work closely with domain experts, become proficient in using Claude for their specific fields, and prototype quickly. The primary focus is on building and hardening systems to make this work repeatable, rather than just configuring existing products. A science or engineering background is beneficial, but the ability to earn the trust of expert researchers, translate fuzzy problems into concrete and verifiable tasks, and ship solutions is paramount.

$405k - $485k

NVIDIA is seeking a talented Machine Learning Engineer to focus on Product Security, Content Safety, and ML Fairness and Robustness for LLMs across research and production teams. This role involves assessing, quantifying, and improving the safety and inclusivity of multi-modal LLM models in a scalable manner. You will develop datasets and models for training and evaluating systems related to Content Safety, ProdSec, Robustness, and ML Fairness. The position also includes researching and implementing techniques for bias detection and mitigation in LLMs and RAG systems, defining key metrics for responsible LLM behavior, and adhering to MLOps best practices for automation, monitoring, scale, and safety. You will also contribute to the MLOps platform and develop safety tools to enhance ML team effectiveness, collaborating with cross-functional teams to address content safety and ML fairness challenges.

$124k - $242k

NVIDIA is seeking exceptional engineers to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. This role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs to enhance reasoning, planning, and interactivity in autonomous vehicles and robotics. You will be instrumental in building the future of autonomy by developing and integrating advanced AI models into mass-production vehicles.

$184k - $357k

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform ensures customers can deploy and operate advanced models with industry-leading performance, scalability, and reliability. You will work across the entire stack, from the developer experience for model deployment to the systems orchestrating Kubernetes and routing traffic efficiently, ensuring every model on our platform is fast, reliable, and cost-efficient.

$180k - $360k