LLM Jobs

The Axion Data team at Applied Intuition is building the data engine to train perception models. This role involves working on both the edge application that runs perception stacks and the cloud data engine that ingests video data for model improvement. The goal is to optimize model performance on edge and cloud, and build MLOps tooling for pipeline visibility. This position offers an opportunity to own and impact a new product team within a rapidly growing company.

$200k - $275k

Applied Intuition is seeking a Software Engineer to join their team and contribute to powering the future of physical AI. This role involves constructing optimized data pipelines for ML models and evolving the data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles. You will also integrate foundation models like LLMs and VLMs to automate and enhance labeling, quality assurance, and data discovery, while leveraging software-in-the-loop and hardware-in-the-loop testing. Additionally, you will interact with customers to understand their use cases and triage needs during field events.

$200k - $275k

Conveo.ai is a fast-growing, Y Combinator-backed company seeking a Senior Product Engineer to join its small, impactful engineering team. In this role, you will own the full product development lifecycle, from understanding customer problems to shipping working software. You will have significant influence on product direction and technical strategy, working closely with engineering leads and the CTO. This is an opportunity to shape the company's growth and build innovative AI-powered research tools used by global brands.

€90k - €110k

Anthropic

The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that powers Claude's safety systems. This role is central to ensuring safeguards are properly configured and deployed for model launches, and owning the off-cycle deployment of new safety classifiers. The team ensures safety on the token generation path and manages the operational aspects of deploying these systems into production, including standing up safeguards for new model launches and deploying new safety classifiers. Every frontier model release goes through this team, which configures, verifies, and rolls out safeguards across all Claude platforms and leads incident response when issues arise. The goal is to automate manual checks into continuous validation and evolve launch runbooks into robust tooling.

$320k - $485k

Join the engineering team that builds the AI-native apps, agents, and tools that power Amplitude's internal operations. This is an AI-first, full-stack software engineering role where you will leverage your expertise in frontier AI technologies to drive continuous improvements in both the systems you build and the way you build them. Your work will have a significant business impact across critical functions like Finance, People Ops, Product Ops, Legal, and HR, by designing and building internal applications, data products, automations, and integrations.

$198k - $299k

Databricks

Databricks AI Research is seeking a Principal Research Scientist – Scaling to lead a team focused on advancing the state of the art in large-scale machine learning, particularly in LLM training and inference efficiency. This role involves defining and executing a research roadmap to improve how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders. The goal is to push the boundaries of LLM efficiency beyond existing models, exploring novel algorithms, systems, and infrastructure improvements. You will drive independent research agendas and collaborate on low-level implementation details to bring cutting-edge methods into production and enhance the Databricks AI platform.

$280k - $350k

Databricks

Databricks is seeking a Senior Staff Applied AI Engineer to lead the development of context retrieval systems for Databricks agents across various SaaS providers. This is a foundational role focused on building both the underlying retrieval stack and the intelligent search subagents that leverage it. The goal is to significantly enhance the ability of Databricks agents to access and understand relevant information from diverse data sources, thereby improving their performance in tasks ranging from answering complex queries to debugging and data analysis. This role requires deep expertise in information retrieval and a proven track record of shipping production-ready retrieval systems for RAG and agentic workloads.

$229k - $343k

Databricks

Databricks AI is seeking a Principal AI Research Scientist to lead a team focused on advancing the state of the art in large-scale machine learning, particularly in LLM training and inference efficiency. This role involves defining and executing a research roadmap to improve how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders. The ideal candidate will drive algorithmic innovations, optimize ML systems for distributed training and inference, and translate research breakthroughs into customer-impacting capabilities within the Databricks AI platform. This position also requires fostering a culture of scientific excellence, representing Databricks AI externally, and mentoring research talent.

$270k - $340k

Databricks

Databricks is seeking a Staff Backline Engineer to join their critical bridge team between Frontline Support and Engineering. This role focuses on handling complex technical issues and escalations within the Data and AI ecosystem, with a strong emphasis on customer success and proactive issue resolution. The engineer will be a technical expert and escalation point for challenging ML/AI issues, working collaboratively with Support, Engineering, Product, and customers to troubleshoot, identify root causes, and drive resolutions. The team prioritizes automation and tooling to enhance troubleshooting efficiency and improve platform supportability.

$0k - $0k

Databricks

Databricks is transforming how it builds and operates People Technology, moving from traditional SaaS configuration toward an AI-native, agentic stack. You will be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.

$192k - $260k

Databricks

The Applied AI team at Databricks is at the forefront of advancing GenAI-powered products, having launched Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are used by hundreds of thousands of users daily, tackling challenging problems like code suggestion, text-to-sql generation, and knowledge QA. As GenAI products evolve, we are seeking engineers to drive the next phase of development, focusing on enhancing LLM quality, expanding GenAI capabilities, and strengthening platform architecture for AI interactions at scale.

$190k - $285k

Databricks

Databricks is seeking an engineer to help lead the development of the data and agent layer for enterprise digital advertising. This role involves building solutions to address the significant data and intelligence gaps in advertising campaign performance, which currently relies on slow, manual, and often inaccurate processes. You will be instrumental in creating systems that ingest, normalize, aggregate, and analyze advertising data at scale, enabling better decision-making and optimization for enterprises spending billions on digital ads.

$191k - $254k

Databricks

The Web Engineering 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, Marketing Agents on the Web Engineering team, you will own the architecture and delivery of agents that transform how Databricks creates, publishes, and ships for the web, shifting content operations from a linear, engineering-dependent process to an orchestrated, continuously improving system. You will define how LLM-powered agents participate reliably across marketing content workflows, set the engineering standards the team builds on, and ensure agent output is robust, observable, and production-ready at scale.

$198k - $273k

Databricks

Databricks is seeking an Engineering Manager to lead the team building Profile Agents for their CustomerLake platform. This is a critical role in shaping the product, architecture, and engineering foundation of Databricks' new Agentic CDP, which aims to revolutionize customer data management. The product is in its early stages, offering significant opportunities to influence its vision and direction. You will be instrumental in delivering high-quality Customer 360 outputs, hiring and growing a senior team, and establishing the quality bar for agent-generated pipelines. This role offers substantial growth potential within a rapidly expanding company.

$190k - $261k

Databricks

The Web Platform team at Databricks is rebuilding the public-facing web experiences from the ground up, making them AI-native from the start and pioneering an agentic SDLC. As a Staff Software Engineer on this team, you will own the platform layer that others build upon, including the web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a unique opportunity to shape the architecture of a web platform for an AI-native world, partnering with technical leaders and setting the standard for AI-native platform engineering.

$198k - $273k

Databricks

Databricks is seeking a Staff Engineer to join the Customer Engagement and Docs platform team, focusing on enhancing customer support through AI and Large Language Models (LLMs). This role operates at the intersection of Product development and Machine Learning, aiming to help customers resolve issues faster by providing precise solutions or facilitating seamless escalations. You will gain a deep understanding of user behavior, identify problem drivers, and leverage ML and LLMs to analyze complex technical use cases within an enterprise environment, ultimately guiding them towards resolution.

$190k - $260k

Databricks

Databricks is seeking a Staff Technical Lead for Customer Experience Intelligence (CXI) to architect and deliver an AI-native vertical workflow platform. This platform will orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows, initially focusing on customer support and expanding to other domains like IT, Security, Legal, and Marketing. The role involves driving rapid backend development with a focus on quality, safety, and reliability, designing state-machine and agentic workflows, and implementing robust observability and rollback mechanisms for AI-driven decisions. The Technical Lead will also act as a liaison between CXI, Product, Platform Engineering, and business stakeholders, while mentoring engineers and subject matter experts.

$190k - $261k

Databricks

As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems.

$191k - $233k

We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale.

$152k - $288k

Retool is building the future of internal software development, making it safe and efficient to ship custom applications powered by AI. As AI capabilities expand, the challenge shifts from accessing models to ensuring the reliability, evaluability, and trustworthiness of these non-deterministic systems in production. We are seeking AI Engineers to own this critical problem end-to-end. This role is for individuals who are passionate about managing probabilistic systems, measuring quality amidst variance, and driving continuous improvement without introducing regressions.

$164k - $306k