LLM Jobs

Lovable is seeking an exceptional Forward Deployed Engineering Lead to help build the future of AI-powered software creation. This role involves building and leading an outstanding Forward Deployed Engineering (FDE) team, while collaborating with other FDE leaders to define the function's global operations. You will remain deeply hands-on, working directly with ambitious customers, writing production code, and contributing to projects alongside your team. Lovable is a software creation platform empowering individuals and businesses to bring ideas to life, having facilitated over 60 million projects since its launch. The company is a fast-growing, generational AI company with a culture of extreme ownership, high velocity, and low-ego collaboration.

$241k - $391k

Together AI

As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to strategic customers looking to leverage high-quality models and perform inference at scale. You will act as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment, partnering with Solutions Architects. FDEs add significant value by ensuring complex Proofs of Concept (POCs) are met, facilitating platform adoption, and guiding tailored optimization efforts, directly impacting customer success and company growth.

$270k - $300k

Anthropic

As a TPU Kernel Engineer, you will be responsible for identifying and addressing performance issues across various ML systems, including research, training, and inference. A significant part of this role involves designing and optimizing kernels specifically for the TPU. You will also provide crucial feedback to researchers regarding how model changes affect performance. The ideal candidate will have a proven history of solving large-scale systems problems and demonstrating expertise in low-level optimization.

$280k - $850k

Dust is seeking a Senior AI Support Engineer to redefine world-class support in an AI-native company. This role goes beyond ticket resolution, focusing on owning and improving the systems, agents, workflows, and feedback loops that enhance support scalability and efficiency. You will be instrumental in transforming recurring customer pain points into durable solutions, including better agents, documentation, internal tooling, and sharper product feedback. The ideal candidate possesses strong technical instincts, a deep user-centric mindset, and a proven ability to build support systems that transform team operations. This is a senior individual contributor role for someone excited about leveraging AI to create operational leverage and improve the customer experience.

€50k - €100k

As a Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to develop and implement AI-powered solutions that revolutionize how work is performed. You will manage projects from inception to completion, including scoping complex problems, creating prototypes for AI workflows, and deploying robust, scalable systems built on our platform. This role involves close interaction with both technical and non-technical stakeholders, blending the roles of an AI engineer, software developer, and technical consultant. It's an ideal position for individuals eager to work hands-on with AI models and directly witness the impact of their work.

$93k - $217k

OpenAI

The ChatGPT Learning team is building the next generation of learning experiences within ChatGPT, aiming to support sustained learning and progress beyond individual questions. This role involves leading the design and development of products that leverage AI to make powerful learning tools more accessible, helping millions of users understand the world, develop skills, and pursue their goals. The work combines product engineering, design, AI research, and education to serve learners globally. As a Principal Software Engineer, you will be hands-on across the full stack, building polished interfaces and scalable backend services, and driving product and design decisions with cross-functional partners to translate ambiguous opportunities into clear direction and successful product launches.

$459k - $536k

NVIDIA is seeking a deeply technical, creative, and hands-on Senior full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This role involves working with concepts of RAG and agentic AI to build AI products using state-of-the-art agentic paradigms, third-party platforms, and open-source repositories. As a key leader, you will shape the architecture, development, and scaling of our software systems, collaborating with Cloud, AI/ML, and Generative AI teams in a multifaceted and agile environment to meet evolving business needs.

$248k - $391k

We are seeking a Senior DFX Software Engineer with a focus on Machine Learning to join our innovative team. This role involves defining and building methodologies, software, and flows for silicon device testing, debug, and failure analysis. You will contribute to advancing NVIDIA's participation in fields like gaming, compute platforms, and Artificial Intelligence by enabling high-quality silicon defect screening. If you are a creative, problem-solving individual who enjoys tackling technical challenges with new approaches, we encourage you to apply.

$152k - $288k

Accenture

This role focuses on developing and optimizing AI agents and LLM-powered applications to enhance cybersecurity operations within a Security Operations Centre (SOC). The AI/ML Engineer will collaborate with security experts to design, build, and deploy AI workflows that integrate with existing security tools, aiming to accelerate threat detection and response. The mission is to leverage AI to combat evolving cyber threats, requiring a strong engineering background and a security-first mindset. The position involves architecting modular and scalable AI solutions, implementing robust security measures against adversarial attacks, and adhering to AI governance frameworks for data handling, logging, and compliance. Cost management for LLM usage and infrastructure is also a key aspect, alongside clear technical documentation.

Salesforce is seeking a Software Engineer to join the brand-new Software Factory team. This team is responsible for industrializing software development by building a platform that enables coding agents to perform real work on the company's codebase. The role involves creating remote sandboxes for agents to run builds safely, developing orchestration for agent tasks triggered from various platforms like Slack and GitHub, and implementing observability to ensure the trustworthiness of agent output at scale. The team's strategy is to leverage existing off-the-shelf coding agents rather than building their own, focusing on the surrounding factory infrastructure. As one of the first hires, you will have significant influence in shaping this platform from the ground up, working closely with the CTO on architecture, build-vs-buy decisions, and future priorities, while delivering value to internal customers from day one.

$173k - $314k

Commure is building the AI Operating System for healthcare, transforming administrative burdens in care delivery, documentation, and financing. Our platform integrates Ambient AI, intelligent Agents, and autonomous RCM to streamline healthcare operations. We are seeking a Software Engineer to develop the systems powering our AI Voice Agents, which handle patient interactions like scheduling, cancellations, and FAQs by integrating with EHR and telephony systems in real-time. This role offers significant growth opportunities within a fast-paced, impactful team.

$170k - $230k

Glean is seeking an AI Engineer focused on Quality and Post-Training to enhance their Work AI platform. This role is crucial for improving the reliability and usefulness of AI agents by focusing on measurement and quality improvements. You will work at the intersection of applied research, quality assurance, and product engineering to refine Glean's AI assistants and autonomous agents, ensuring they can reason, plan, and act effectively across complex workflows. The position involves optimizing the entire AI stack, including agent harnesses, model routing, prompts, and retrieval, while balancing quality with performance and cost.

$200k - $280k

The bottleneck in building reliable, useful AI is no longer writing code, but defining and measuring what good looks like. This role focuses on data and evaluation science for Glean's AI products, building evalsets, agentic LLM-judges, and benchmarks that capture quality. You will develop the platform and infrastructure to run these evaluations reliably at scale, and create enterprise simulation environments to test assistant and agent performance. Starting from real production usage, you will translate learnings into evaluations that guide improvements across the entire stack, from agent harnesses to tool use, skill iteration, model routing, and post-training of task-specific models. You will also bring new research into production and collaborate with R&D, product, and GTM teams to translate evaluation findings into better products and customer outcomes.

$200k - $280k

OpenAI

OpenAI's Safety Research organization is seeking a senior researcher to lead technical work on misalignment monitoring for frontier AI systems. This role involves developing methods to evaluate AI monitors, understanding their limitations, and improving our ability to reliably detect and stop concerning model behavior. You will set research priorities, design rigorous evaluations, investigate monitoring failures, and develop approaches for stress-testing and improving monitoring systems, with a key focus on understanding monitor limitations as models evolve. The position combines research leadership with hands-on technical execution, translating research findings into practical improvements for OpenAI's safety systems.

$380k - $500k

Outset is building AI systems, referred to as digital twins, that represent specific real people and can respond to research questions as those individuals would. These systems are used by global brands to gain deeper qualitative insights about their users at unprecedented speed and scale. The Digital Twins Team focuses on measuring and improving the faithfulness of these AI systems in reproducing human responses and behavior. The Research Scientist will work closely with the Head Scientist to define research questions, design studies, establish measurement criteria, interpret findings, and contribute to internal decision-making and potential academic publications. This role requires a strong background in computational social science, data science, survey methodology, human-computation interaction, and experiment design.

$200k - $240k

Outset is building AI-powered user interviews, creating digital twins that represent specific real people and respond to research questions as those individuals would. The Digital Twins Team focuses on measuring and improving how faithfully these AI systems reproduce human responses and behavior. As a Research Engineer, you will report to the Head Scientist and be responsible for building and maintaining the systems that enable the team's scientists to conduct their studies correctly, reproducibly, and at scale. Your role involves ensuring experiments execute as designed, results are reproducible, and research code stays aligned with the shipped product, supporting scientists in a computational research setting with hands-on experience in LLM-based systems.

$200k - $240k

AiPrise is seeking an Engineering Manager to lead and grow the team responsible for building the company's AI agents. This is a player-coach role where you will manage, hire, and develop engineers, while also staying hands-on with agent architecture design, prompt reviews, tool definitions, and debugging evaluations. You will be responsible for the end-to-end process of building, measuring, and shipping AI agents, including the skills and tools they utilize, their memory capabilities, and the evaluation metrics that ensure quality and performance in a regulated domain like KYC and KYB. The role emphasizes the importance of quality and observability alongside speed, as inaccurate AI decisions can have significant financial and audit implications for customers.

$185k - $230k

Toast is seeking an AI/Agent Engineer to join the Care Automation team. This team builds the systems and automations that power how Toast supports its customers, connecting platforms, workflows, and integrations for Customer Care Agents. In this role, you will be instrumental in defining how intelligent automation transforms care operations at Toast. You will focus on building the AI layer across our care systems, integrating large language models, agentic frameworks, and workflow automation to reduce manual effort and enhance outcomes for both agents and customers. You will design and build AI-powered automations that work across our Care tool suite, partnering closely with software engineers, Salesforce developers, and operations stakeholders to deliver production-grade AI systems.

$151k - $309k

Scale AI

Scale's Machine Learning Research team is at the forefront of AI development, building the foundation for next-generation AI systems. We push the boundaries of frontier models, focusing on safety, reliability, and alignment. Our work encompasses generative AI, reinforcement learning, advanced post-training methods, scalable oversight, synthetic data, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power ML pipelines for numerous industry-leading customers, supporting complex and advanced AI use cases. As an intern, you will contribute to impactful production ML applications and cutting-edge research, guided by world-class researchers and collaborating with leading teams across industry and academia. Interns are expected to deliver real, published, or shipped work.

$120k - $150k

Scale AI

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you’ll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

$216k - $270k