Find your next AI Engineering role
2506+ open roles · 71+ companies hiring
2506 open positions
Software Engineer, Scaled Abuse
OpenAI
The Scaled Abuse team at OpenAI is responsible for protecting the company's products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. This role involves building and operating backend and data systems that power real-time detection, investigation workflows, and enforcement. The work requires a blend of engineering and abuse expertise, partnering with various teams to understand attack patterns and harden defenses. The ideal candidate is comfortable with ambiguity, can quickly learn new codebases, and can propose pragmatic improvements to enhance system resilience.
Legal Engineer Manager, Product Specialist, EMEA
Harvey
Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are seeking a Legal Engineer Manager - Product Specialist to lead and grow our Product Specialist team in London, focusing on supporting existing customers in maximizing their use of the Harvey platform across EMEA. This role is crucial for driving adoption, increasing utilization, and supporting long-term expansion and renewal by leveraging legal expertise to integrate Harvey into daily workflows. You will develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel, acting as a trusted advisor on how AI solutions can enhance legal effectiveness and efficiency.
Deployments Software Engineer
Physical Intelligence
Physical Intelligence is developing foundation models and learning algorithms to power robots and future physically-actuated devices. This role focuses on building the systems that enable robots to operate reliably and safely in real-world customer environments. You will integrate state-of-the-art models with robots, design system safeguards, develop teleoperation interfaces, and implement latency optimizations for remote control. You will collaborate with researchers, platform engineers, and robot operators to ensure the entire stack is dependable enough for customers to rely on for their operations.
Software Engineer, Platform
Scale AI
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.
Applied AI Engineer, CyberSecurity
Mistral AI
Mistral AI is seeking an Applied AI Engineer to build customer-facing cyber services and use-cases on top of our cyber harnesses. This role focuses on composing red-team/blue-team agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients. You will bridge the gap between our foundational cyber harnesses and the agentic solutions that clients deploy, focusing on building agentic use-cases and client-facing services that solve real security problems.
Safety Coordinator / Lab Lead
Scale AI
Scale is seeking a Safety Coordinator / Lab Lead to manage physical testing operations and ensure a world-class R&D environment. This role is critical for scaling physical testing infrastructure safely and efficiently, focusing on end-to-end execution of safety audits and incident documentation. You will operate at the intersection of AI foundation models and robotics hardware, ensuring a secure, compliant, and organized environment for researchers, engineers, and autonomous systems.
$134k - $168k
Member of Technical Staff (ML Engineer, Recommendations & User Modeling)
Perplexity AI
Perplexity is seeking experienced ML engineers to design, build, and optimize recommendation systems that power core experiences. We are reimagining recommendation systems for the LLM era, combining frontier LLMs, personalization context from product usage, and modern recommendation system capabilities. Our systems draw on past context and connected data sources to deeply understand user needs and recommend actions that help them get the most out of Perplexity. We value craftsmanship, ownership, entrepreneurship, scholarship, and partnership.
Software Engineer, Cloud Agents
OpenAI
We are seeking an experienced software engineer to join our Cloud Agents team, which focuses on building and scaling the product infrastructure for long-running agents in the cloud. This includes developing systems for orchestration, sandboxing, isolation, secure connectivity, secrets management, observability, reliability, and cost controls. You will play a key role in designing and operating systems that orchestrate agents at scale, working closely with product engineers across ChatGPT, API, and Codex to define essential abstractions and enable rapid product development. A strong background in backend or infrastructure development, particularly with Python, Rust, distributed systems, cloud infrastructure, or product platforms, is highly valued.
Senior Product Engineer, Growth & Lifecycle Infrastructure - Music & Audio
Stability AI
Stability AI is seeking a Senior Product Engineer to lead the ground-up development of PLG growth and lifecycle infrastructure for their music and audio products. This greenfield role spans web, desktop, plugin, and mobile platforms, requiring you to select the technology stack, design the event model, implement integrations, and manage the system. The ultimate goal is to create a measurable and attributable funnel from anonymous users to paying customers and account expansion. This position is at the nexus of growth marketing, product lifecycle management, and community-driven PLG, focusing on systems that drive conversion within the product.
AI Builder Intern
Scale AI
This internship focuses on building and deploying AI-powered tools, automating workflows, and implementing agentic systems for use by Scale AI teams. You will be embedded within the Data & Technology organization, collaborating directly with engineers, data scientists, and operations leads on live automation initiatives. The role is ideal for individuals with a strong understanding of current AI capabilities, a preference for hands-on building over theoretical exploration, and proficiency in modern LLM tooling.
$74k - $112k
Enterprise Account Manager
Replit
Replit is seeking an Enterprise Account Manager to drive retention, expansion, and customer success within its rapidly growing customer base. This role is ideal for individuals with Customer Success or Enterprise Account Management experience in SaaS, particularly those with a technical background or prior experience at developer tool companies. You will be the primary relationship owner for assigned customers, ensuring their satisfaction and helping them maximize value from Replit's AI-powered platform. This is a client-facing role focused on building long-term, strategic relationships and driving sustainable revenue growth.
Enterprise Account Manager
Replit
Replit is seeking an Enterprise Account Manager to drive retention, expansion, and customer success within its rapidly growing customer base. This role is ideal for individuals with SaaS experience, particularly in Customer Success or Enterprise Account Management, and a technical background. You will be the primary point of contact for assigned customers, ensuring their satisfaction and helping them maximize value from Replit's AI-powered platform. This is a unique opportunity to leverage client-facing skills and a passion for customer success and AI to foster sustainable revenue growth.
Mid-Market Account Manager
Replit
Replit is seeking a Mid-Market Account Manager to drive customer retention, expansion, and success on their agentic software creation platform. This role is ideal for individuals with Customer Success or Account Management experience in SaaS, particularly those with a technical background or prior experience at developer tool companies. You will be the primary relationship owner for your assigned customer portfolio, championing customer success by helping businesses leverage Replit's AI-powered platform and driving sustainable revenue growth. This is a distinctive opportunity for those who excel in client-facing situations and are passionate about customer success and AI.
Software Engineer, Voice
sierra.ai
Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer, Voice to contribute to our innovative AI products. This role involves working on cutting-edge challenges in speech-to-text, speech synthesis, real-time audio processing, and scaling our infrastructure to handle millions of calls daily. You will also be involved in building real-time integrations with telephony systems and call centers.
Software Engineer, Insights
sierra.ai
Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to revolutionize how they serve customers and drive business growth. We are an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders bring extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI.
Software Engineer, Agent Builder
sierra.ai
Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking an Agent Builder to contribute to our innovative AI platform. This role involves tackling complex challenges in simulation, content management, and the AI agent development lifecycle. You will adapt traditional software development methodologies for AI agents and explore generative tools to accelerate agent creation and build self-improving systems.
Software Engineer, Product
sierra.ai
Sierra is building a platform to enable companies worldwide to create better, more human customer experiences using AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our culture is guided by core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. The company was co-founded by Bret Taylor and Clay Bavor, who bring extensive experience from leading tech companies like Salesforce, Facebook, and Google.
Software Engineer, Infrastructure
sierra.ai
Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As a Software Engineer, Infrastructure, you will be responsible for designing, building, and maintaining the core systems that power our AI platform. Your focus will be on ensuring Sierra's infrastructure is secure, reliable, and scalable, empowering product teams to deliver with speed and confidence.
Software Engineer, Context Engine
sierra.ai
Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer to join our full-stack data team. You will be instrumental in building systems that enhance the intelligence of our AI agents with every interaction. This role involves developing real-time pipelines, analytics products, and personalization primitives to transform customer conversations into business outcomes. You will contribute to architecting and building our core data platform for low-latency, large-scale data handling, including real-time eventing, streaming and batch ETL, and our data lakehouse. Additionally, you will develop systems for long-term agent memory, reusable Customer Data Platform (CDP) primitives, and optimization loops for personalized interactions that demonstrably improve business results.
Member of Technical Staff- Full Stack
fireworks ai
Fireworks is seeking a Full Stack Software Engineer to architect, build, and scale its developer-focused web application and shape its end-to-end technical architecture. This role combines hands-on engineering with technical leadership, offering opportunities to mentor engineers, collaborate cross-functionally, and drive innovation in a fast-paced, AI-focused environment. You will be instrumental in delivering scalable, elegant, and highly performant solutions that directly impact hundreds of thousands of developers and the company's product vision. The position involves shaping and shipping the optimal developer journey, encompassing intuitive front-end interfaces, robust APIs, and efficient backend orchestration, integrated with a wide offering of open-source generative AI models.
Analytics Engineer, Safety Systems
OpenAI
As an Analytics Engineer in Safety Systems, you will be instrumental in fostering a data-driven culture, improving decision-making, and spearheading strategic initiatives through advanced analytics. You will collaborate closely with Engineering, Research, and Data Science teams to develop and maintain essential data sources and authoritative dashboards. These resources will empower both individuals and AI agents across the organization to gain reliable, actionable insights. Your primary responsibility will be managing the consumption layer for safety metrics, establishing clear and dependable methods for stakeholders in Safety Systems, partner teams, and leadership to assess product safety, independently address safety-related inquiries, and inform product development and company strategy. You will be a key contributor to the Safety Systems team, working with researchers and engineers to advance the mission of creating safe, robust, and trustworthy AI.
Frontier Agents Engineer
Scale AI
Scale is accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution, interfacing directly with clients to build cutting-edge products using proprietary research and resources. As an Applied AI Engineer, you will work with clients to create ML solutions to satisfy their business needs, ranging from AI cybersecurity firewalls to transformative AI experiences in journalism and applying foundation genomic models. Daily data-driven experiments will provide key insights to improve product performance, and you will have the opportunity to shape the future of the modern AI movement.
Software Engineer, Platform Security
decagon
Decagon is seeking a Software Engineer, Platform Security to lead the application security strategy and implementation for their conversational AI platform. This role involves partnering with engineering teams to embed security directly into AI-powered applications, ensuring protection against threats while maintaining performance and reliability. The position offers a unique opportunity to apply deep application security expertise to AI systems and influence security practices within a rapidly growing engineering organization.
$200k - $330k
Senior Software Engineer, Platform Security
decagon
Decagon is seeking a founding Platform Engineer, Security to design, build, and operate the security infrastructure for its leading conversational AI platform. This is a hands-on builder role focused on creating durable, well-engineered systems, including paved paths for secure service creation, automated security tooling, and infrastructure-as-code. As the first dedicated engineer in this area, you will have a significant impact on shaping the technical direction of the infrastructure security program and investing in automation, observability, and self-service. The work is closely tied to the business, directly enabling high-value deals with security-conscious enterprises.
$200k - $400k
Technical Program Manager (Computer Vision), Public Sector
Scale AI
Scale AI is seeking a Technical Program Manager (TPM) to lead and coordinate the delivery of computer vision workflows for a national security customer. In this role, you will own or support customer account plans, address technical issues, and utilize data to align internal resources with customer needs. You will drive the creation of tools that directly benefit Scale's Public Sector customers, manage executive-level to end-user relationships, and collaborate with customers to define computer vision use cases for our engineering team. You will also lead cross-functional teams to achieve AI/ML objectives and proactively identify customer needs to ensure success.
$166k - $249k
Workplace Operations Manager
Mistral AI
As part of our Workplace Operations team, you will supervise the daily logistics of our Paris office while fueling our EMEA expansion. Reporting to our Global Workplace Lead, you will shape a workspace that’s functional, welcoming, and buzzing with Mistral’s culture. You will be responsible for creating and sustaining a productive, inclusive, and vibrant work environment for all Mistralers, and supporting EMEA colleagues with office maintenance, logistics, and everything in between. You will also be the go-to person for all office-related inquiries and ignite community spirit by organizing events, meetings, and activities that bring our culture to life.
Product Manager | Security
Rogo.ai
Rogo is seeking an exceptional Product Manager to own and advance the security, governance, and trust product, ensuring Rogo remains the most trusted platform for financial institutions to leverage AI. This role involves working across all Rogo functions and directly with customer security teams to maintain a leading edge in security, governance, and trust as AI adoption grows. The ideal candidate will be instrumental in making AI adoption simple and confident for demanding institutions, meeting their governance and compliance obligations, and ensuring AI is used securely and transparently across their organizations.
Product Manager | Enterprise
Rogo.ai
Rogo is transforming global finance by empowering professionals at top investment banks, private equity funds, and investment firms with AI. This role offers a unique opportunity to join a rapidly scaling, generational company that has achieved product-market fit and is backed by world-class investors. The team is sharp, motivated, and deeply committed to Rogo's mission, taking ownership of complex problems and focusing relentlessly on users. If you thrive in a fast-paced environment and want to help build the future of finance, Rogo invites you to join them.
Product Manager | Core Product
Rogo.ai
Rogo is transforming global finance by empowering professionals at top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We are redefining financial workflows and are a rapidly growing company with proven product-market fit, backed by world-class investors. We are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to our mission, taking ownership of complex problems and focusing on our users. We invite you to join us if you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance.
Product Manager | Agents
Rogo.ai
Rogo is transforming global finance by empowering professionals at top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We are redefining financial workflows and scaling quickly with a rapidly growing, global client base and backing from world-class investors. Our team is sharp, motivated, and deeply committed to our mission, taking ownership of complex problems and focusing relentlessly on our users. If you thrive in a fast-paced environment and want to help build the future of finance, join us.
Deployed Engineer (Seattle)
Langchain
LangChain is seeking a Deployed Engineer to join their team, focusing on making intelligent agents ubiquitous. This role involves working on challenging applied AI problems, building production systems that real teams depend on, and directly shaping how AI agents are developed and deployed in the real world. The feedback loop is fast, the impact is visible, and the work contributes to the evolution of AI agent technology.
$165k - $380k
Deployed Engineer (Boston)
Langchain
LangChain is seeking a Deployed Engineer to join their team, focusing on making intelligent agents ubiquitous. This role involves working directly with companies to build and run AI agents in production, transforming prototypes into reliable systems. You will tackle complex applied AI challenges, contributing to systems that real teams depend on, with a fast feedback loop and visible impact. Your work will directly shape how AI agents are built and adopted in the real world, bridging the gap between engineering, product, and go-to-market strategies.
$165k - $380k
Deployed Engineer (NYC)
Langchain
LangChain is seeking a Deployed Engineer to join their team in NYC. This role focuses on building and running AI agents in production, moving beyond prototypes to create reliable systems that real teams depend on. You will work on challenging applied AI problems, with a fast feedback loop and visible impact, directly shaping the future of AI agents in the real world. The Deployed Engineering team partners closely with customer engineers throughout the entire lifecycle, from pre-sales to post-deployment, ensuring technical success and reliable operation of agents at scale using the LangChain suite.
$165k - $380k
Member of Technical Staff (Software Engineer, Computer Growth)
Perplexity AI
Perplexity is seeking a growth engineer to join their team and own product loops that drive user discovery, adoption, and habit formation around their AI experiences. This role involves working across the entire user funnel, from activation and onboarding to retention and paid upgrades, while also developing applied AI systems to enhance these experiences. Engineers will manage end-to-end projects, including training and deploying classifiers to identify high-intent users, personalizing value discovery, and integrating new AI capabilities to achieve measurable adoption and revenue outcomes. The growth team collaborates closely with product, design, data science, and applied AI teams, translating behavioral signals and model outputs into robust product surfaces. This position offers the opportunity to move fast, run numerous experiments concurrently, and take full ownership of outcomes in a fast-growing startup environment.
Applied AI Researcher
Databricks
We are seeking an Applied AI Researcher to join our team. This role will focus on researching and implementing state-of-the-art techniques in fine-tuning and Retrieval-Augmented Generation (RAG). You will be at the forefront of developing and deploying advanced AI solutions.
$175k - $245k
Product Lead - USA
inworld
Inworld is seeking a Product Lead to drive the development of real-time AI models and products for consumer-facing applications. This role is a blend of strategy and hands-on execution, requiring you to set direction, make critical prioritization decisions, and ensure the delivery of developer-loved products. You will collaborate closely with AI researchers and engineers to transform cutting-edge AI capabilities into reliable, scalable developer experiences, directly influencing the future of real-time AI deployment.
$230k - $400k
Researcher, Training - London
OpenAI
As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization, and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.
Technical Program Manager, Platform
Scale AI
As a Technical Program Manager for the Platform team, you will partner with engineering teams to directly accelerate the development and maturity of the Scale Generative AI Platform (SGP). We are looking for a TPM who has actively built and shipped products in the past and understands how to deliver robust, scalable developer tooling and distributed systems. In this role, you will own the strategic alignment and end-to-end execution of our most critical infrastructure initiatives—from initial scoping to measurable, company-wide and customer-ready adoption. You will serve as the core communication backbone and connective tissue between platform engineering, product teams, and executive leadership. Operating in a hyper-growth, demanding AI environment, you will translate SGP’s architectural complexities into clear execution strategies, unblock engineering bottlenecks, proactively mitigate deployment risks, and ensure our foundational platforms deliver reliable, performant, and secure systems capable of global-scale deployment.
$211k - $264k
Associate General Counsel, Product and Privacy
Scale AI
Scale is seeking a thoughtful, multidisciplinary Associate General Counsel, Product & Privacy to act as a strategist and thought partner for business teams in creating the next-generation platform for AI development. This role will lead product and privacy legal initiatives for cutting-edge products, reporting to the Senior Director and Associate General Counsel responsible for product counsel and privacy. The ideal candidate will possess a technology background, privacy expertise, and fluency in AI, intellectual property, and consumer protection law, with a proven ability to provide strategic legal guidance that balances business goals with regulatory compliance, risk management, and customer trust. This position requires strong collaboration skills with cross-functional teams.
$265k - $331k
Associate General Counsel, Product & IP
Scale AI
Scale is seeking an Associate General Counsel, Product & IP to provide strategic product counseling on cutting-edge issues at the intersection of IP and agentic and generative AI. The ideal candidate will have experience harnessing IP as a competitive advantage, providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust. This role requires a demonstrated ability to partner well with cross-functional teams, exhibiting superlative communication, collaborative problem-solving, initiative, empathy, urgency, and focus.
$265k - $331k
Frequently asked questions
What counts as an AI Engineering job?
AI Job Board lists engineering roles that build, deploy, or operate AI/ML systems — including LLM engineering, RAG (retrieval-augmented generation), AI agents, prompt engineering, AI infrastructure and MLOps, model serving/inference, and fine-tuning. It excludes non-engineering functions like AI sales or marketing roles.
What is the difference between an AI Engineer and a Machine Learning Engineer?
An AI Engineer typically builds applications on top of existing models — LLM integration, RAG pipelines, agent orchestration, and prompt design. A Machine Learning Engineer more often trains, fine-tunes, or productionizes custom models. Many companies use the titles interchangeably, so search both when browsing.
Does AI Job Board include AI infrastructure and MLOps roles?
Yes. Titles such as AI Infrastructure Engineer, ML Platform Engineer, GPU Infrastructure Engineer, Inference Engineer, MLOps Engineer, and AI Site Reliability Engineer are all covered — these roles focus on the systems that serve and scale AI models rather than building models themselves.
Are remote AI and ML jobs available?
Yes. Filter by "Remote" on the jobs page to see fully remote AI/ML engineering roles, or browse the remote jobs feed directly.
What skills are most in demand for AI engineering roles?
The most commonly requested skills are LLM APIs (OpenAI, Anthropic, Gemini), RAG and vector databases (Pinecone, Weaviate, Qdrant), agent frameworks (LangGraph, CrewAI, AutoGen), inference/serving tools (vLLM, Ray Serve, TensorRT-LLM), and fine-tuning. Use the skill filters on the jobs page to browse by specific technology.
How fresh are the job listings?
Listings are sourced continuously from company career pages and refreshed automatically. Each job shows when it was posted, and the sitemap and API expose last-updated timestamps for every posting.
How much do AI Engineers get paid?
Compensation varies widely by role, seniority, and location. Where employers disclose a salary range, it is shown directly on the job listing — filter by salary range on the jobs page to narrow results to your target compensation.