LLM Engineer Jobs

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

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

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

Supabase

Supabase is seeking a Python SDK Engineer to join their SDK team. This role focuses on enhancing how developers interact with Supabase through Python, ensuring the SDK is a library that Python developers genuinely enjoy using. You will work on building and evolving the Python SDK across various Supabase services, including database, auth, storage, realtime, and functions, with both synchronous and asynchronous APIs. The position involves proactive development, identifying and building missing features, and contributing to the open-source community. A key aspect of this role is owning the typing experience for the SDK, ensuring it's fully typed and checker-friendly, and maintaining compatibility across diverse Python environments and frameworks. You will also be responsible for tracking platform changes and reflecting them in the SDK, designing public APIs, and making the SDK legible to AI coding agents.

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Cursor

SpaceXAI is building Super Intelligence to help humanity understand the universe, from supercomputers to large language models and user-facing applications. As a Software Engineer on the Model Lifecycle and Signals team, you will be responsible for integrating frontier models into user-facing products at a massive scale. This role involves deciding which models to use, monitoring their performance, and providing feedback to shape future model development. You will work at the intersection of infrastructure, data, and product, bringing models from preview to production, analyzing real-world data, and collaborating with research, inference, product, and data science teams to improve both products and models. Your contributions will have a compounding impact across all products and shipped models.

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Cosine is developing autonomous software-engineering systems for organizations that prioritize reliability, security, and control. Our Lumen Enterprise models are designed to understand and modify real codebases, utilizing tools, running tests, and producing maintainable software. We are seeking a Machine Learning Engineer to enhance and train these models across the entire training stack, including pre-training, supervised fine-tuning, and reinforcement learning. This role offers exposure to all facets of the model training lifecycle, from performance profiling to implementing new RL algorithms, and requires a hands-on approach with a focus on software quality.

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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

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is on the AI Libraries team, which builds the foundations that enable Wayve's machine learning engineers and researchers to train, evaluate, and deploy models at scale. You will create high-quality platforms, tools, and reusable abstractions that support thousands of GPUs and accelerate the development of autonomous-driving technology. You will work closely with machine learning teams to understand their workflows and translate complex requirements into stable, scalable, and intuitive software. Your day-to-day will involve designing and writing Python, leading projects from discovery through delivery, improving engineering standards, and supporting users as they push the scale and performance of their models. You will build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing, and observability, improving the reliability, performance, and developer experience of systems used across Wayve.

$276k - $311k

Black Forest Labs is building the foundational layer for visual intelligence, developing multimodal models trained on images, video, audio, and action. Our team pioneered latent diffusion and Stable Diffusion, making generative AI accessible. We are now pushing into generative media at scale and machines that act in the physical world. This role leads Product Research, bridging researchers and the market. You will analyze signals from evaluations, leaderboards, customers, and usage data to identify areas for model improvement and define the strategy for achieving them. You will work closely with Research, Backend, Product, and Go-to-Market teams.

$172k - $220k

Cohere

Cohere is seeking a Senior Full-Stack Engineer to join the Cohere Dashboard team. This role is crucial for shaping the user experience of Cohere's platform, which serves as the central hub for users to access models, manage API keys, and explore documentation. You will collaborate with a talented team to build a delightful, intuitive, and unified experience across all dashboard features, contributing to both front-end and back-end development. This is an opportunity to work on mission-critical systems and contribute to the future of large language models.

CA$230k - CA$295k

NVIDIA is seeking a highly motivated Applied Deep Learning Algorithm Intern to join its autonomous driving team. This internship offers the opportunity to work with experienced engineers on cutting-edge learning-based driving algorithms. You will contribute to areas such as supervised fine-tuning, reinforcement learning, data optimization, model evaluation, and adapting models for various vehicle lines. This role is ideal for individuals passionate about groundbreaking technologies in AI and autonomous vehicles, looking to gain hands-on experience in a creative and forward-thinking environment.

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Databricks

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.

$190k - $265k

Tenstorrent is a leader in AI technology, focusing on performance, ease of use, and cost efficiency. We are building a high-performance RISC-V CPU and a comprehensive AI platform. Join our AI IP software team to help customers integrate AI workloads into products built on Tenstorrent technology. This role involves working directly with customers to integrate models, answer technical questions, and solve integration challenges across models, compilers, and runtime workflows. It's a hands-on software role with opportunities to learn and contribute to cutting-edge AI technology.

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Clara is a leading financial technology platform in Latin America, empowering over 50,000 businesses with corporate cards, bill payments, financing, and B2B payment solutions. Recognized as the region's fastest-growing company by the Financial Times in 2025, Clara is dedicated to enhancing business efficiency and regional competitiveness. This role offers an opportunity to start your career at full speed, shipping production code within weeks and owning features end-to-end. You will leverage AI across your workflow, from coding and debugging to research and automation, pushing the boundaries of how your team utilizes AI. The role involves working directly with Product, Design, and senior engineers, and requires a deep understanding of the B2B fintech domain in Latin America.

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Handshake AI works with frontier labs on their most consequential data, evaluation, and post-training challenges, building systems that turn expert human knowledge into data and evaluations to improve frontier models. Handshake Labs is developing external AI products, research platforms, and customer-facing AI systems, evolving custom-built work into reusable products and platforms. This role is for a Member of Technical Staff, Post-Training, a broad, high-ownership position for researchers who build, requiring the ability to reason deeply about model improvement and translate that reasoning into reliable systems. You will partner with researchers, domain experts, and customers to transform ambiguous post-training questions into experiments, evaluation frameworks, data pipelines, and products, with significant influence over technical direction and culture.

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We are seeking an ML Systems Engineer to contribute to the training of our Lumen LLMs, which are based on open-source software engineering models. This role is interdisciplinary, involving the development and deployment of reinforcement learning training environments, working with large-scale synthetic data pipelines, and building an ML platform for training large models in distributed settings. The goal is to train models that not only provide correct answers but also write readable, maintainable code aligned with architectural patterns. This position is ideal for someone passionate about the evolving landscape of coding agents, where data, RL environments, and opinionated reward functions are shaping future SWE model standards.

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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.

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Dataiku is seeking interns to join their engineering teams, focusing on various aspects of their AI platform. Interns will work on specific features with direct impact on the product, collaborating with senior engineers to code, debug, optimize, and document their work. The role offers exposure to a dynamic technology stack, including Python/Java for backend and Angular/Vue/React for frontend, with opportunities to contribute to areas like AI/ML, MLOps, data preparation, and cloud platform development. Previous intern projects have included improving unsupervised model tooling, building AI-powered coding assistants, enhancing dynamic model management, developing AI-powered code generation, improving search capabilities for data pipelines, contributing to internationalization efforts, creating versatile file processing tools, implementing geospatial transformations, and building full-stack features for cloud engineering.

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Salesforce is seeking a highly technical and hands-on Informatica MDM Technical Architect to lead the design, modernization, and delivery of enterprise-wide Master Data Management solutions. This role requires a blend of strategic thinking and tactical execution, acting as a trusted advisor to customers. The ideal candidate will have deep expertise in the Informatica Intelligent Data Management Cloud (IDMC) platform, experience migrating legacy systems to the cloud, and a passion for embedding data governance into enterprise data estates. You will be responsible for architecting and configuring MDM SaaS products, leading modernization initiatives, and integrating MDM with other systems.

$149k - $224k

Redwood Research is dedicated to ensuring the safe development of artificial intelligence through rigorous technical research, thoughtful analysis, and strategic advising. As an empirical researcher, you will design and execute experiments on frontier language models. Your work will focus on assessing AI risks and evaluating the effectiveness of safety measures designed to mitigate them.

$350k - $850k

Databricks

Databricks is seeking an SAP Technical Lead to spearhead the technical architecture and delivery of their SAP platform. This role involves defining the technical vision for a clean-core S/4HANA landscape, guiding the engineers who develop on it, and architecting the AI layer that connects SAP with the Databricks Data Intelligence Platform. The objective is to establish standards, make strategic build-versus-adopt decisions, and ensure all deliverables are secure, performant, and scalable. The SAP platform will underpin core finance processes like Record-to-Report, Source-to-Pay, and Order-to-Cash, with a focus on leveraging SAP BTP and the Databricks Lakehouse for automated, AI-driven workflows that maintain a clean, upgradable, and fast core.

$198k - $273k

Athelas

Commure is building the AI Operating System for healthcare, focusing on transforming care delivery, documentation, and financing. Their platform integrates Ambient AI, intelligent Agents, and autonomous Revenue Cycle Management (RCM) processing. The company has processed over $25 billion in annual claims and supports over 200 million patient interactions, recently securing $70 million in funding at a $7 billion valuation. The Revenue Cycle Management (RCM) Product Team specifically focuses on the Insights product, which provides practice staff and administrators with tools to manage operations efficiently. As a Senior Software Engineer on this team, you will be instrumental in scaling and maintaining the website's infrastructure, ensuring a smooth user experience as the company grows. This role also involves defining the technical direction of the Insights' architecture, enhancing reliability, scalability, and performance, and fostering a culture of continuous improvement and technical skill development within the engineering organization.

$40k - $93k

Elastic

Elastic, the Search AI Company, is seeking a Senior Java Developer to join their Elasticsearch team and contribute to the Inference API. This API acts as a crucial integration layer between Elasticsearch and various machine learning services, including Elastic's own offerings and third-party providers like Anthropic, OpenAI, and Google. The role involves maintaining and developing the plugin framework and REST API, with responsibilities spanning protocol design, streaming, asynchronous execution, and billing integration. You will collaborate closely with the wider inference team and the Kibana team to enhance features such as semantic search, reranking, and generative AI across Elastic Cloud and hosted environments.

€61k - €97k

NVIDIA is seeking a talented LLVM Compiler Intern to join our GPU Software organization. This role involves working on the construction and emission of high-performance GPU machine instructions for both Graphics and Compute applications. You will be part of a world-class team of compiler engineering experts, contributing to cutting-edge performance and capabilities for NVIDIA's complex parallel SIMT architectures.

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