Find your next AI Engineering role
1396+ open roles · 365+ companies hiring
1396 open positions
Senior Software Engineer, Backend (Product)
Otter.ai
We are building the next generation of AI-native product experiences where conversations directly translate into outcomes. As a Senior Software Engineer on our Product teams, you will own significant product areas and play a key role in shaping how AI capabilities deliver real user value. You will work across the full lifecycle of AI-driven features, from data ingestion and model orchestration to output structuring and delivery into user-facing product surfaces. This role involves not only building features but also designing the underlying systems, ensuring AI outputs are reliable, performant, and aligned with user needs. You will tackle complex, ambiguous problems, driving them from concept to production while making thoughtful tradeoffs across latency, cost, and quality. This includes defining how LLMs, retrieval systems, and structured data converge to create cohesive product experiences. Collaborating closely with product, design, and AI teams, you will rapidly prototype and iterate on features like summaries and intelligent workflows, while helping establish best practices for other engineers.
$185k - $230k
Senior Search Engineer
You.com
As a Search Engineer at You.com, you will blend deep analytical thinking with practical engineering skills to investigate, develop, and implement novel solutions for our search indexing systems. Your work will focus on advancing the core technology that powers our search engine, ensuring that our index is comprehensive, up-to-date, and optimized for speed and relevance. You will collaborate closely with cross-functional teams to translate complex research into practical, scalable applications. This is a remote position open to candidates based in the United States.
$190k - $260k
Senior AI Engineer, Product Engineering
You.com
You.com is building the AI Search Infrastructure that powers modern AI systems, aiming to create a trusted knowledge layer for agents, applications, and enterprises. Our platform combines proprietary indexes with LLM-optimized retrieval systems to solve complex problems in search, large language models, and large-scale infrastructure, making AI systems more reliable, transparent, and useful. This hybrid product engineering and go-to-market role offers significant impact at the intersection of these areas, focusing on shaping our API surface and engaging directly with key customers.
$200k - $250k
Technical Lead, API
Asana
Asana is seeking a staff-level Technical Lead to drive the technical vision and execution for their developer platform, focusing on APIs. This role is crucial for enabling AI to connect with work tools, managing data flow into and out of Asana, and supporting LLMs in taking action. The Technical Lead will partner with Product, Design, Data Science, and User Research to understand developer and agentic needs, propose solutions, and define API design best practices. This position involves developing across the full stack, writing clean code, and mentoring engineers and developer advocates.
$211k - $240k
Technical Lead, Artificial Intelligence
Parallel Wireless
We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges. This role is for a Technical Lead to own the end-to-end architecture and technical direction of these AI systems. It is a hands-on senior individual contributor role, combining architecture, coding, technical leadership, and mentorship. You will work alongside RAN, PHY, and software teams, building production-grade AI solutions for real cellular networks.
AI Engineering Team Manager
Parallel Wireless
Parallel Wireless is seeking an AI Engineering Team Manager to lead its AI team and drive its technical direction, roadmap, and execution. This role involves leading AI/ML initiatives from concept to production, defining success metrics, and ensuring AI solutions deliver measurable impact. The manager will also lead architecture and technical decisions for AI models, platforms, tools, and data, while building and growing a strong, multidisciplinary team through recruitment, mentoring, and career development. Establishing robust engineering practices for evaluation, scalability, reliability, monitoring, and model lifecycle management is key, as is close collaboration with Product Management, Systems Engineering, and R&D teams across different geographies. The role also includes partnering with domain experts to identify AI opportunities for network improvement and supporting customer-facing discussions and trials.
Automation Engineer
Legora
Legora is redefining legal work with an AI-native workspace designed for legal professionals. Our platform enables users to analyze documents rapidly, streamline workflows, and enhance precision, allowing them to focus on strategic judgment and outcomes. Trusted by over 2,100 customers globally, Legora has achieved significant ARR growth and continues to expand through strategic acquisitions. We foster a culture of ownership, excellence, and continuous growth, where impact and pace are paramount. The IT Platform & Automation team is responsible for Legora's identity, device, and SaaS systems, ensuring their reliability as the company scales. As an Automation Engineer on this team, you will be instrumental in managing and enhancing our automation capabilities, including the Serval platform, and identifying new opportunities for automation in partnership with various business units.
$134k - $203k
Applied Scientist Intern
Ramp
Ramp is seeking an Applied Scientist Intern to join their team and contribute to solving critical business problems through machine learning. As an intern, you will be a fully integrated member, owning a project from inception to completion. You will collaborate with engineers, product managers, and business stakeholders to translate complex business needs into scalable, ML-driven solutions. This role offers the opportunity to apply ML in a practical setting, ship code, and create tangible value for Ramp and its customers, focusing on areas like credit, fraud, growth, or the core product.
Principal Software Engineer, Product
pika
Pika is building the next generation of AI creative tools to make video creation seamless, intuitive, and accessible to everyone. We are seeking a Principal Product Engineer to lead the technical vision, architecture, and roadmap for user-facing systems. In this high-impact role, you will guide the engineering direction for features serving millions of creative users, from intuitive UIs and collaboration tools to real-time interactions and advanced generative AI experiences. You will work closely with product, design, and engineering leadership to deliver robust, scalable, and delightful features, influencing both immediate user experience and long-term product vision from conception to launch and iteration.
Senior Deep Learning Engineer, Cosmo 3D Spatial
nvidia
NVIDIA is at the forefront of the AI revolution, exploring the next frontier of Physical AI, which involves machines that can perceive, reason about, and act within the three-dimensional world. The NVIDIA Cosmos platform provides open foundation models for Physical AI, designed to interpret images, video, and text to create a structured understanding of physical scenes, including motion, object interactions, geometry, and physical context. These models serve as the reasoning layer for robots, autonomous vehicles, and smart infrastructure. The Cosmos Engineering team is responsible for developing the core capabilities behind these models and is seeking a Senior Deep Learning Engineer to lead the data engine and end-to-end training verification for 3D spatial reasoning and perception. This role involves ensuring models accurately learn and represent 3D spatial concepts, working closely with research scientists to translate hypotheses into measurable capabilities in shipped models, and focusing on the critical role of data and evaluations in achieving frontier model quality.
Senior Deep Learning Compiler Engineer - HW-SW Codesign
nvidia
NVIDIA is seeking versatile software engineers for its XLA team to build high-performance, production-grade software at the core of next-generation AI systems. This role involves developing compiler optimization algorithms for deep learning workloads, optimizing inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You will collaborate with deep learning framework and hardware architecture teams to accelerate future AI software.
$152k - $288k
Senior Applications Engineer, AI for Material Science and Chemistry
nvidia
NVIDIA is seeking a senior applications engineer with a background in material science codes to accelerate AI-driven simulations for materials discovery. This role will contribute to the development of NVIDIA ALCHEMI, a key software pillar for the next era of scientific discovery, bridging traditional simulations and AI surrogates. You will transform cutting-edge research into practical software tools for scientists, working collaboratively across research, engineering, and product teams.
$168k - $322k
Senior Math Libraries Engineer - LLM Integration and Developer Experience
nvidia
We are seeking a motivated engineer to enhance the integration of APIs across our CUDA-X math library software stack into modern LLM and agentic AI workflows. Organizations worldwide leverage GPU-powered data centers for AI, data analytics, and scientific simulations, driving progress in fields like LLMs, computer vision, and autonomous vehicles. Our team develops the essential GPU-accelerated libraries and SDKs for these technologies. In this role, you will ensure that human engineers and AI agents can easily build high-performance applications by effectively utilizing CUDA-X libraries. We are looking for individuals with a unique combination of technical expertise, developer experience, and communication skills.
$152k - $288k
Senior Software Architect, Networking AI
nvidia
NVIDIA is seeking a Principal SW Architect, Networking to build the future of AI data-centers. This role is tailored for those passionate about collective communication, vertical co-development of AI networks, and large model training scalability. Your work will drive innovation and contribute to large-scale production, making a real impact on the world. Join a team of forward-thinking and driven engineers, and contribute to a legacy of innovation.
$184k - $357k
Research Engineer (New Grad)
Genmo
Genmo is a research lab focused on developing advanced video world models to understand, simulate, and interact with the physical world, aiming to advance physical intelligence and enable robots to learn and act. We are seeking an exceptional Software Engineer to join our research team in pushing the boundaries of visual generative AI. In this role, you will collaborate with experienced researchers to develop and enhance generative models, ensuring their safe and effective deployment. This is an opportunity to contribute to cutting-edge AI research in a fast-paced startup environment.
Member of Technical Staff, Applied Research
Sieve
Sieve is seeking a Member of Technical Staff, Applied Research to join their team. In this role, you will train and evaluate multimodal models, focusing on video generation and audiovisual understanding, to understand how data influences model capabilities. You will own the research process end-to-end, from identifying model weaknesses and forming hypotheses to building experiments and evaluating results. This involves fine-tuning models, developing reproducible training and evaluation pipelines, and conducting controlled experiments on data quality and supervision. The ideal candidate enjoys bridging research and engineering, implementing methods, debugging training runs, and ensuring findings are reliable and impactful for data sourcing, curation, and usage.
$150k - $350k
AI Engineer - Agents
Campfire
Campfire is seeking an AI Engineer to build production AI agents that assist customers with accounting tasks. This hands-on role involves shaping agent architecture, shipping customer-facing features, and establishing reliable engineering practices. You will collaborate closely with engineering, product, and design teams to transform complex problems into trustworthy software solutions. The ideal candidate will combine strong software engineering fundamentals with practical experience in developing and operating agentic applications, from automating financial workflows to enabling customers to understand and act on their financial data.
$180k - $300k
Staff Applied AI Engineer
StackBlitz
As a Staff Engineer on the AI team, you will lead the technical direction of AI agents that transform natural language into production-ready applications. This involves defining how LLMs are used to tackle complex challenges such as maintaining context across large codebases, orchestrating intuitive multi-step workflows, and managing everything from minor UI adjustments to significant architectural decisions. This role goes beyond simple API integration; you will establish the patterns and systems that guide AI reasoning and generation of full-stack applications, influencing the AI strategy across multiple teams and impacting the daily experience of millions of users building products with Bolt.
Senior Applied AI Engineer
StackBlitz
As a Senior Engineer on the AI team, you will build and improve the core coding AI agents that power Bolt.new. You will collaborate directly with product, design, engineering, and data to solve key agent challenges, including evaluation harnesses, context compression, maintaining context across large codebases, orchestrating intuitive multi-step workflows, and tackling everything from simple UI tweaks to complex architectural decisions. This role involves contributing to how AI reasons about and generates full-stack applications, working alongside experienced engineers in a problem space where patterns are still being invented. Your work will ship to millions of users building real products with Bolt.new daily.
Applied ML Engineer - Edge Devices
Deepgram
Deepgram is seeking an Applied ML Engineer to focus on deploying their advanced speech models to a variety of edge devices and non-NVIDIA accelerators. This role involves adapting existing models to run efficiently within diverse hardware constraints, including different inference runtimes and operator sets. You will be responsible for optimizing models through techniques like quantization and precision adjustments, validating performance on real hardware, and building robust deployment pipelines for edge targets. This is a hands-on engineering position, distinct from research or cloud-focused roles, aimed at ensuring Deepgram's cutting-edge voice AI can be deployed effectively across a wide range of customer hardware.
$155k - $245k
AI Research Engineer
LanceDB
LanceDB is seeking an AI Research Engineer to collaborate with their research team on open-ended research projects. The role focuses on end-to-end training flows across various AI domains, demonstrating how LanceDB can accelerate research. This is a unique opportunity to pursue research interests as an engineer, significantly impacting product development and raising awareness of LanceDB's capabilities.
$150k - $255k
Staff Software Engineer - DevX
Amplitude
Amplitude is seeking a Staff Software Engineer for their DevX team, focusing on enhancing engineering velocity by building automated workflows and developer tooling. This hybrid role, based in Vancouver, Canada, involves setting the architecture for the developer platform and leading the "software factory" initiative to streamline code shipping processes. The engineer will own projects from conception to production, driving technical direction for a foundational team with a high-leverage, low-oversight approach. The role emphasizes accelerating development, testing, and cloud deployment for the entire engineering team.
AI Infrastructure Engineer, pAGI
OpenAI
We are seeking an AI Systems Engineer to join our pAGI Infra team, which builds and operates the systems essential for large-scale model training and evaluation. This role involves owning projects from identifying bottlenecks and designing solutions to deployment and operation, focusing on distributed systems engineering, performance optimization, and collaboration with researchers. You will directly contribute to improving the speed and reliability of research by potentially building shared grading services, optimizing resource allocation, or integrating new training stacks into production.
$266k - $500k
Staff Software Engineer, GTM & AI Strategy
Toast
Toast is seeking a hands-on Staff Software Engineer to join the GTM & AI Strategy Engineering team. This role focuses on building 0-to-1 tools to revolutionize sales operations, eliminating friction across the Go-To-Market stack by writing code and developing intelligence models. As a technical lead, you will architect and productionize agentic workflows and RAG pipelines, integrate AI services, and maintain high standards for observability and performance monitoring.
$151k - $309k
Software Engineer, Security Agents
Cohere
Cohere is seeking a Senior Software Engineer to join the North Security team and build AI agents that revolutionize enterprise security. This role focuses on creating autonomous systems to handle complex, critical security tasks for practitioners. You will develop intelligent systems that empower security teams by building autonomous agents for alert triage, secure code reviews, threat modeling, and vulnerability assessment. The position involves developing agent orchestration systems, designing and implementing agent security controls for safe interaction with sensitive data, and creating the necessary security infrastructure for high-trust environments. You will ship production-ready agent capabilities, research novel security patterns for AI agent systems, and conduct security testing.
$0k - $415k
Applied AI Engineer
CHAOS Industries
CHAOS Industries is seeking a mission-oriented Applied AI Engineer to develop, integrate, and deploy AI/ML capabilities across its defense product lines. This role involves working with data scientists, software engineers, and product teams to conduct advanced AI research and translate it into reliable, real-world software, particularly for defense applications requiring extreme accuracy under challenging conditions. The ideal candidate possesses strong data science and software engineering fundamentals, a track record of technical excellence, and experience applying AI/ML to real products, with a preference for backgrounds in aerospace, defense, or similar mission-driven environments. Comfort with independent operation, rapid learning of new technical domains, cross-team collaboration, and moving prototypes to production with minimal oversight is essential.
$150k - $170k
Principal Data and AI Architect
Salesforce
Salesforce is seeking a Principal Data and AI Architect to join their Global Public Sector team. In this role, you will be an expert thought leader and senior field specialist, guiding defense, federal, state, local, higher education, and nonprofit customers in evaluating, implementing, and expanding their use of Salesforce Data 360, Agentforce, and the broader enterprise data and AI ecosystem. Your work will bridge technical architecture, solution engineering, applied data and AI, and practical delivery judgment within government and public sector environments. You will translate customer mission and data/AI ambitions into actionable architectures that meet stringent security, compliance, and governance requirements, focusing on both the foundational data and agent layers and the wider ecosystem.
$173k - $232k
Principal AI Workflow Engineer
nvidia
NVIDIA is seeking a Principal AI Workflow Engineer to join the Enterprise Integration and API Team. This role is at the forefront of AI-augmented engineering, utilizing AI-assisted tools and automation to accelerate development and delivery across the integration ecosystem. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, with governed APIs, data access, and controlled agent connectivity to support AI application development.
$248k - $391k
GPU System Performance Architect
nvidia
NVIDIA's Architecture group is seeking a GPU System Performance Architect passionate about GPU-accelerated deep learning, data analytics, and high-performance computing. This role involves designing and developing the next generation of GPU-accelerated computing systems, offering a significant impact within a dynamic, technology-focused company. You will contribute to innovative processor and system architectures, analyze system performance trade-offs using analytical models and simulators, and understand hardware-software interactions in large-scale data center deployments. Collaboration across software, product, and business teams will be key to guiding the future of GPU-accelerated cloud computing.
$224k - $357k
Senior Quantum Applied Research Scientist, Calibration and Decoding
nvidia
NVIDIA is seeking a scientist at the intersection of quantum device physics, quantum calibration, and machine learning to help accelerate the quantum ecosystem. This role will focus on designing and building real-time models that learn from device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data synthesis pipelines, post-trainable model architectures, and practical benchmarks for the quantum community. Your research will translate qubit physics and the quantum control stack into performant AI systems for fault-tolerant quantum computing, spanning synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers.
$192k - $305k
Principal Engineer, CUDA UMD - GPU Kernel Scheduling
nvidia
NVIDIA is seeking a motivated system software engineer with deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver. This core platform component accelerates general-purpose computation on the GPU. You will be an integral part of a team delivering features and improvements to realize the full potential of NVIDIA hardware across diverse workloads, including deep learning, scientific computation, data science, self-driving cars, video games, and virtual reality. You will use your design abilities, coding expertise, and creativity to craft elegant solutions to exciting problems and shape the future direction of CUDA.
$272k - $431k
Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing
nvidia
NVIDIA is seeking a motivated system software engineer with deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver. This core component of our platform accelerates general-purpose computation on the GPU. You will be an integral part of a team delivering features and improvements to realize the full potential of NVIDIA hardware across diverse workloads, including deep learning, scientific computation, data science, gaming, and virtual reality. You will leverage your design abilities, coding expertise, and creativity to craft elegant solutions to exciting problems and shape the future direction of CUDA.
$184k - $357k
Senior System Software Engineer - CUDA Chips
nvidia
We are seeking senior engineers to contribute to the CUDA driver, a fundamental component for accelerating general-purpose computation on GPUs. This role involves enhancing features and improving performance to maximize NVIDIA hardware potential across diverse workloads, including deep learning, scientific computation, gaming, and virtual reality. The position requires strong system software programming, a deep understanding of operating systems and kernel programming, hardware architecture, and excellent communication skills. You will collaborate with hardware and software engineers to design, develop, debug, and deploy critical aspects of NVIDIA hardware and mobile system-on-chip devices. The work spans the entire development lifecycle, from design feedback and pre-silicon simulation to silicon bring-up and production software deployment.
$152k - $288k
Senior System Software Engineer, Agentic Kernel Development
nvidia
NVIDIA's GPU SW Kernel organization is seeking a Senior System Software Engineer to develop the next generation of AI systems for GPU software development. This role focuses on crafting agentic AI systems to enhance the quality and efficiency of GPU software, transforming promising projects into critical infrastructure. You will be part of a dynamic team that significantly impacts GPU release quality and sets new standards for AI-driven automation.
$184k - $357k
Engineering Manager (TLM, Agents)
Perplexity AI
Perplexity is seeking a Tech Lead Manager (TLM) to lead and grow its highly driven Agents engineering team. This team comprises AI/ML, backend, and full-stack engineers dedicated to building exceptional agentic experiences within the Comet ecosystem. The vision is to empower users with AI agents capable of faithfully actualizing their intent through open-ended interactions with the world. As the Agents TLM, you will leverage your AI expertise, product intuition, and engineering management skills to push the boundaries of what agents can achieve for millions of users.
$300k - $405k
Member of Technical Staff (AI Software Engineer, Agents)
Perplexity AI
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The team collaborates to build harnesses and AI systems powering delightful agentic experiences, including Perplexity Computer, the Comet ecosystem, and our Agent API. Our vision is to empower users with agents that can faithfully actualize their intent through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI.
$220k - $405k
Staff AI Engineer - Agent Architecture & Behavior
Artisan
Artisan is building a new, ambitious project at the frontier of agentic AI, pushing the boundaries of what AI agents can achieve. This role is for a hands-on technical lead responsible for designing and building the core AI architecture, focusing on agent behavior, multi-agent systems, tool use, context management, and evaluation. The position offers broad technical ownership as an individual contributor, involving consequential architecture decisions, writing critical system components, and close collaboration with existing engineers and leadership. The ideal candidate enjoys tackling uncertain problems and executing detailed engineering to deliver robust solutions.
$250k - $325k
Lead Agent Architect
Parloa
As a Lead AI Agent Architect at Parloa, you will be instrumental in revolutionizing customer service through advanced AI-powered agents. This customer-facing role involves leading the design and implementation of AI Agent solutions to help enterprise clients and partners achieve more efficient, scalable, and intelligent customer experiences. You will operate at the convergence of LLMs, conversational design, and enterprise systems, translating intricate requirements into robust, production-ready AI workflows. Your responsibilities will span from initial solution design through deployment and optimization, ensuring AI agents perform reliably, integrate seamlessly, and deliver tangible business impact. This is a unique opportunity to architect and deploy cutting-edge AI Agents at scale, significantly influencing how enterprises leverage LLMs to enhance customer experience and operational efficiency.
$196k - $223k
Senior Agent Architect
Parloa
As a Sr Agent Architect at Parloa, you will act as a solution architect for enterprise AI Agent deployments. You will design end-to-end system architectures that connect Parloa's platform to complex enterprise environments, solve multi-system integration challenges, and apply systems thinking to build reliable, scalable AI solutions for global enterprise clients. You will also shape the conversational experience layer, using prompt engineering and your knowledge of LLMs to translate customer requirements into agent behavior. Architecture and integration depth are the core of this role, with conversational design skills being valued and developed on the job.
$156k - $178k
Senior Fullstack Engineer, AI Observability & Evals Platform
Langchain
LangChain is seeking a Senior Fullstack Engineer to join the LangSmith team, which builds the core platform for observability, evaluation, and production reliability of AI systems. This role offers the opportunity to shape the technical direction of the platform, working closely with enterprise customers, developer end-users, and internal stakeholders. You will lead the technical architecture and implementation of key product features, collaborating with product and design teams, and driving aggressive project timelines while maintaining high engineering standards. The position emphasizes writing clean, maintainable, and well-tested code, with a "get stuff done" attitude and strong ownership mindset.
$175k - $240k
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.
