Find your next AI Engineering role
320+ open roles · 71+ companies hiring
320 open positions
Warehouse and Logistics Manager - North America
Anthropic
Anthropic's Infrastructure organization is responsible for building and operating the compute that trains and serves their frontier AI models. This involves a complex physical supply chain of servers, accelerators, networking equipment, and more. The Warehousing and Logistics team owns this flow, and this role will manage its day-to-day operations in North America. You will be responsible for the operational management of inbound receiving, storage, inventory control, kitting, and outbound shipments to data center sites and partners, working with both direct and third-party logistics providers. This is a hands-on role where you will balance running daily operations with building scalable processes, controls, and metrics. You should be comfortable making decisions with incomplete information, communicating effectively with diverse teams, and maintaining a high standard for accuracy and chain of custody for high-value, security-sensitive equipment.
Warehouse and Logistics Manager - International
Anthropic
Anthropic's Infrastructure organization is responsible for building and operating the compute infrastructure that powers their frontier AI models. This involves managing a complex physical supply chain of servers, accelerators, networking equipment, and other hardware. The Warehousing and Logistics team plays a critical role in this process, ensuring that all necessary components are received, inspected, secured, tracked, and delivered to the right locations at the right time. This role will focus on managing the day-to-day operations of this supply chain outside of North America as the company expands globally.
Research Engineer, Takeoff Intel
Anthropic
Anthropic is dedicated to creating AI systems that are reliable, interpretable, and steerable, aiming for AI to be safe and beneficial for users and society. The Takeoff Intel team specifically focuses on measuring the increasing delegation of AI development to AI systems themselves. This involves designing evaluations of AI R&D capabilities, building internal telemetry to track AI-assisted model development, and developing quantitative methods to understand AI capability growth. The team's work informs internal research priorities and safety planning, as well as external reporting on AI progress. As a Research Engineer on this team, you will build and operate the evaluation and measurement instruments essential for this research, working across infrastructure, data processing, and analysis tooling with a focus on delivering impactful prototypes.
Applied AI Architect
Anthropic
As an Applied AI team member, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and how they can successfully integrate and deploy it into their technology stack. You'll combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evals, and design scalable architectures.
Applied AI Architect
Anthropic
As an Applied AI team member, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and how they can successfully integrate and deploy it into their technology stack. You'll combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evals, and design scalable architectures.
Applied AI Engineer, Enterprise
Anthropic
As an Applied AI Engineer within the Enterprise team, your role is to guide some of France's largest companies to the forefront of AI and help them deploy Claude in their operations, products, and ways of working. You will become the go-to specialist for the Claude platform and the trusted technical advisor to your clients. You will advise their engineering teams on architecture, agent design, and evaluation, and work with executives and senior leaders sponsoring these programs to demonstrate Claude's value and aid in informed adoption decisions. Enterprise engagements differ from typical transactions, involving longer procurement cycles, more stakeholders, and success contingent on linking technical work to board-level outcomes. You will be equally comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, carrying the technical thread through multi-quarter engagements.
Lead Technical Instructor
Anthropic
Anthropic is seeking a Lead Technical Instructor in New York to build and elevate its technical instruction function. This role involves delivering hands-on technical training to engineers, architects, and practitioners, both in person and remotely. A significant portion of your time will be dedicated to developing other instructors, running train-the-trainer programs, and ensuring a high, consistent standard for technical instruction across Anthropic's programs. You will be an engineer who teaches and a teacher who develops others, capable of adapting lessons on the fly and providing constructive feedback to improve teaching quality. This is not primarily an instructional design role, but requires comfort with coding, debugging, and engaging with experienced practitioners.
Head of Technical Training
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As demand for understanding and utilizing Claude grows, Anthropic needs to formalize its technical instruction function. This role is the first dedicated technical instruction position, responsible for building and scaling this function. The individual will initially focus on teaching engineers, architects, and technical practitioners, and then develop the people, standards, and systems to expand instruction capabilities significantly. This player-coach role involves leading training sessions, managing a team of technical instructors, defining and certifying teaching standards, and ensuring the quality of technical instruction across various programs.
Research Engineer, Cybersecurity RL (Reinforcement Learning)
Anthropic
The Security team at Anthropic is dedicated to protecting AI systems and maintaining user trust. As a Research Engineer on this team, you will play a crucial role in advancing the capabilities of our models in areas such as secure coding, vulnerability remediation, and other defensive cybersecurity measures. This position uniquely combines research and engineering, requiring you to develop novel approaches and implement them in code. Your responsibilities will include designing and building Reinforcement Learning (RL) environments, conducting experiments and evaluations, integrating your work into production training runs, and collaborating with researchers, engineers, and cybersecurity specialists both internally and externally.
Staff Software Engineer, Model Infrastructure
Harvey
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This is a unique opportunity to help build a generational company at an inflection point, with strong product-market fit and investor support. The team moves fast, takes ownership, and is deeply committed to the mission, valuing decisiveness, simplicity, and continuous improvement. As a Staff Software Engineer on the Model Infrastructure team, you will lead the design and development of the systems powering all AI requests at Harvey, partnering with AI Research, Product Engineering, and external model providers to build a highly reliable, scalable, observable, and efficient platform.
$231k - $340k
Senior Software Engineer, Model Infrastructure
Harvey
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a chance to help build a generational company at an inflection point, with strong product-market fit and investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As a Staff Software Engineer on the Model Infrastructure team, you will lead the design and development of the systems that power every AI request at Harvey, partnering closely with AI Research, Product Engineering, and Infrastructure to build a highly reliable, scalable, observable, and efficient platform.
$193k - $290k
IT Support Engineer
Anthropic
Anthropic is seeking an IT Support Engineer to join their IT Operations team. This role focuses on ensuring every employee can perform their best work without friction by providing comprehensive technical support. The IT Support Engineer will handle a variety of support challenges, primarily within a macOS environment, while also contributing to operational improvements and automation efforts. This position offers the opportunity to work closely with IT Engineering and Security teams, with potential for growth into more technical infrastructure responsibilities.
Agent Reliability Engineer, GTM Engineering
Langchain
LangChain is seeking an Agent Reliability Engineer to own the health, cost, performance, and business impact of the GTM Agent. You will build feedback loops to ensure continuous improvement and operate the agent on LangSmith, creating a reference story for enterprise customers. This role involves working across a modern tech stack to monitor production health, triage issues, and track key metrics. You will also be responsible for building business metrics to demonstrate the agent's value and developing internal monitoring and alerting systems.
$150k - $190k
Anthropic Fellows Program, AI Safety & Security
Anthropic
Anthropic is seeking talented individuals for its Fellows Program, focusing on AI Safety. This program aims to foster AI research and engineering talent by providing funding and mentorship to promising individuals, regardless of prior experience. Fellows will engage in empirical projects using external infrastructure and open-source models, with the goal of producing public outputs like research papers. The program offers a structured 4-month full-time research period, direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley or London, and connections to the AI safety community. The program is designed to encourage diverse perspectives and applications, even from those who may not meet every single qualification.
$25k - $50k
Product Designer, Evals & Prompts
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role is a foundational member of the Product Prompt and Eval Design team, focusing on the 'evals' side of defining Claude's behavior. You will build the systems that check prompts, the harness that runs them, and the tools that empower designers to perform this work. This position involves close collaboration with surface owners, product teams, and prompt engineering teams to ensure Claude aligns with user expectations, product strategy, and safety requirements across all product launches.
$50k - $100k
Corporate Development Lead, Life Sciences
Anthropic
Anthropic is seeking an experienced Corporate Development leader to drive strategic transactions in life sciences and biotech. This role will focus on sourcing and executing acquisitions, investments, and strategic partnerships with AI-native life sciences companies. You will partner directly with Anthropic's leadership, research, and product teams to shape our strategy in the sector, grounded in Anthropic's strategic priorities. The ideal candidate will combine deep life sciences domain knowledge with technical fluency in AI and a proven track record of closing complex transactions, understanding R&D, clinical, and regulatory workflows, and assessing targets rigorously. You will join us in shaping how AI accelerates science and medicine while ensuring it remains safe and beneficial for humanity.
Partner Manager, Global Health
Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Beneficial Deployments team ensures AI reaches and benefits communities in need by partnering with nonprofits, governments, and mission-driven organizations. This role will drive the clinical AI research agenda for Anthropic's global health work, informing tools and generating evidence for their effectiveness. You will define how clinical AI tools are validated for low- and middle-income countries (LMICs) and shape tools and safeguards for Claude's safe and usable clinical application. This is a hands-on role requiring close collaboration with research, evals, and product teams to translate real-world care delivery knowledge into evaluations, safeguards, and product improvements.
Staff+ Software Engineer, Safeguards Human Review Tooling
Anthropic
The Safeguards team is seeking engineers to build the Review Tooling team, which develops systems used by humans and AI to investigate potential harms and take enforcement actions across Anthropic's products and cloud platforms. This foundational role involves owning the tools safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox environment for rapid iteration. You will also drive the scaling of review through automation, enabling AI to augment human capabilities while keeping human judgment central where it matters most. The speed, clarity, and reliability of this tooling are critical for identifying harmful behavior, making sound enforcement decisions, and feeding signal back into model training. You will collaborate closely with policy, operations, data science, legal, and privacy teams to ensure effective, accurate, and trustworthy enforcement systems.
Staff+ Site Reliability Engineer, Safeguards ML Infra
Anthropic
The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that ensures the safety of Claude's AI systems. This role is central to ensuring safeguards are correctly configured and deployed for model launches and managing the rollout of new safety classifiers. You will be responsible for verifying that the correct safeguards are active across all platforms, detecting and resolving configuration drift, and automating manual processes to improve efficiency and reliability. The team plays a critical role in every frontier model release, owning the operational aspects of deploying and verifying safety measures across various platforms and leading incident response when issues arise.
Applied AI, Research Engineer
Anthropic
As an Applied AI Research Engineer, you will explore the capabilities of Anthropic's models and products, validate them with real customers, and empower the Applied AI team to effectively sell and deliver these solutions. You will work closely with product teams to gain in-depth knowledge of developing capabilities and act as a crucial feedback loop, relaying field insights back to Product and Research to ensure future development aligns with customer needs. This role involves collaborating with Sales, Product, and Research teams, bridging the gap between product development and customer adoption. You will manage the technical go-to-market strategy for model and product launches, including testing new models, creating demonstrations and evaluations, and preparing field teams. When strategic customers encounter unique challenges, you will provide hands-on solutions. You will also synthesize learnings from customer interactions and product usage to inform the product roadmap, working with Product, Engineering, and Research to identify what is effective, what is not, and what is most important.
DCSC Automation Specialist
Cloudflare
Cloudflare is seeking an Automation Specialist to revolutionize the operations of its global Data Center Security Compliance (DCSC) team. This role is integral to the Infrastructure Operations organization, which is responsible for the development, scaling, and management of Cloudflare's data center and network infrastructure across over 700 global sites. The DCSC team currently handles physical access control and compliance auditing for a highly complex and distributed infrastructure, involving numerous vendor portals and multiple regulatory frameworks. Much of this work is manual, including data extraction, access control reconciliation, and evidence assembly. This position is designed to automate these time-consuming tasks, enabling compliance coordinators to focus on higher-level activities like exception handling and regulatory judgment.
Senior Customer Engineer, Enterprise AI - Bay Area
Cloudflare
Customer Engineers on the Digital Native Enterprise team work with Cloudflare's most innovative and high-growth accounts, focusing on both the acquisition of new Digital Native accounts and the expansion of existing ones. This role is for a builder with a deep technical foundation and a commercial mindset, capable of engaging with engineers and executives alike across Application Development, Performance, Security, and Infrastructure. As a Customer Engineer, you are a technologist embedded within the GTM organization, owning the technical relationship from initial discovery through onboarding, adoption, renewal, and expansion, delivering architectural value and measurable business outcomes across the entire customer lifecycle. You will report to the Regional Customer Engineering Leader and partner closely with your aligned Account Executives.
$231k - $275k
Staff+ Software Engineer, Claude Science
Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems, believing that powerful AI can accelerate scientific progress. The Claude Science team is building an AI workbench that integrates tools for researchers, enabling them to perform tasks spanning literature review, database interaction, scientific computing, analysis, and publication. This role offers the opportunity to shape both the product and architecture of a novel category of AI tools, with a focus on accelerating scientific discovery across various disciplines. The technical leader will focus on the end-to-end researcher experience, collaborate with internal research teams to deploy model capabilities, and take ownership of future product development.
Data Infrastructure Engineer, Pre-training
Anthropic
Anthropic is seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Our mission is to ensure that transformative AI systems are aligned with human interests.
Manager, Technical Deployment (Financial Services)
Anthropic
Anthropic is establishing a Forward Deployed Engineering team to assist major organizations in adopting Claude for transformative, safe, and enduring applications. This team embeds Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) with strategic clients to deploy AI applications that address significant business challenges. The TDLs manage the client engagement from start to finish, while FDEs focus on the technical aspects. As the Manager of Technical Deployment for Financial Services, you will oversee the health of engagement portfolios within this sector. You will define delivery quality standards, develop scalable playbooks, and create evaluation frameworks. Your contributions will significantly shape Anthropic's product strategy and solidify its position as a leading partner for AI transformation among Fortune 100 companies. This is a player-coach role requiring both technical credibility in architectural discussions and comfort in executive sales conversations. You will lead the most critical engagements personally when necessary, but your primary impact will be through hiring, developing, and setting high standards for your team. While you won't write production code, you will rigorously assess the technical decisions made by your TDL team.
$25k - $50k
Staff + Senior Software Engineer, Inference Infrastructure
Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide, managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team's dual mandate is to maximize compute efficiency for explosive customer growth while enabling breakthrough research by providing scientists with high-performance inference infrastructure for next-generation models. This involves tackling complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.
Staff+ Software Engineer, Infrastructure, Interpretability
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. The Interpretability team focuses on understanding the inner workings of trained models and applying techniques to enhance AI safety. This role is an early hire on a new infrastructure effort within the Interpretability team, focused on defining and building the systems that enable secure, private, and low-friction access to frontier models for researchers. The work involves designing and implementing solutions across security, privacy, data and compute management, and developer experience to support cutting-edge AI research and its application to safety decisions.
Applied AI Architect, Cyber
Anthropic
As an Applied AI team member focused on cybersecurity, you will collaborate with enterprise account teams to assist the world's largest organizations in leveraging Claude for securing their systems and software. You will combine deep security expertise with customer-facing skills to guide clients through their cybersecurity journey with Claude, regardless of their current stage or future aspirations. You'll meet customers where they are, identify opportunities for Claude to perform meaningful security tasks, and guide them from initial pilots to sustained production workloads. You will also help security leaders articulate the value of this work to their executives.
Policy Communications
Anthropic
This role offers the opportunity to help shape how Anthropic communicates about its approach to developing secure AI systems and products, its work to uphold its Responsible Scaling Policy framework, and its unique corporate structure that keeps the company accountable to its mission. You will partner closely with security, product, legal, governance, and Responsible Scaling Policy (RSP) teams to communicate Anthropic's approach to building safe and secure AI models. You will also help lead communications about how Anthropic is governed, including the role of the Long-Term Benefit Trust's independent trustees and its public benefit corporation charter. As governments establish regulatory frameworks for frontier AI, you will help articulate Anthropic's transparency obligations and public reporting commitments, translating evolving requirements into clear, credible external communications. This role requires strong communications fundamentals to navigate novel issues in a fast-moving field.
Engineering Manager, Safeguards
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Safeguards team is crucial in ensuring our models and products are developed and deployed safely. We are seeking an Engineering Manager to lead the Review Tooling team. This team develops the systems that both humans and AI, like Claude, use to investigate potential harms and take enforcement actions across Anthropic's products and third-party platforms. This is a foundational role where you will own the tools that safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox for rapid iteration. You will also drive the scaling of review through automation, integrating Claude to extend human reviewer capabilities while ensuring human judgment remains central where needed. Close collaboration with policy, operations, data science, and legal teams is essential to ensure effective, accurate, and trustworthy enforcement systems.
Staff Software Engineer, Observability & Profiling
Anthropic
Anthropic is seeking Software Engineers to join its Observability team within the Infrastructure organization. This team is responsible for the monitoring and telemetry infrastructure used by all engineers and researchers at Anthropic, encompassing metrics, logging pipelines, distributed tracing, profiling, error analytics, alerting, and actionable dashboards. As Anthropic's infrastructure scales across massive GPU, TPU, and Trainium clusters, the complexity of operational data is increasing significantly. The team is building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing, and agentic diagnostic tools, to enable faster issue detection and resolution.
Applied AI Engineer
Anthropic
As a member of the Applied AI team, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises across Japan. You'll leverage your customer-facing experience and technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. In collaboration with Sales, Product, and Engineering teams, you'll help enterprise partners incorporate leading-edge AI systems into their products. You will employ excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
Applied AI Architect
Anthropic
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Applied AI Architect
Anthropic
As an Applied AI team member, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and how they can successfully integrate and deploy it into their technology stack. You'll combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evals, and design scalable architectures.
Research Manager, Biological Safety
Anthropic
Anthropic's Safeguards organization is seeking a manager to lead the research engineering team focused on biological safety. This team is responsible for developing evaluations, datasets, and classifiers to govern how AI models handle biological knowledge, ensuring they do not contribute to catastrophic harm. The role involves leading a team of research scientists and engineers in designing and running capability evaluations, curating training data for safety classifiers, and iterating on these classifiers. The manager will set the technical direction, make investment decisions, and own the team's results, while maintaining technical depth to review designs and represent the work to various partners. The core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.
Technical Program Manager, Enterprise Readiness
Anthropic
Anthropic is experiencing rapid growth in its enterprise business, with increasing adoption of Claude across various product surfaces. To facilitate this, a robust foundation of security and compliance controls, identity and access management, data governance, admin controls, and cost management is essential. This is particularly crucial for customers in regulated industries like financial services, healthcare, and the public sector, where stringent security, privacy, and resilience requirements set the standard. We are seeking a Technical Program Manager to collaborate with teams responsible for these enterprise foundations. You will manage the planning and execution rhythm to ensure these capabilities are integrated across all product surfaces and contribute to a comprehensive leadership view of coverage, gaps, and progress. This is a senior role where product, engineering, and go-to-market leaders will rely on your insights regarding enterprise readiness and your plans to address any shortcomings.
Senior Manager, IT SOX
Anthropic
Anthropic is seeking a Senior Manager, IT SOX to join the Internal Audit team. This role is a hands-on technical contributor responsible for executing the IT SOX compliance program, with a strong emphasis on IT General Controls, IT Application Controls, and system risk assessments. The ideal candidate is comfortable with ambiguity, thrives in a fast-paced environment, and enjoys solving complex problems. This is a high-impact opportunity to collaborate with various teams to establish a robust control environment for an AI-first company, acting as a trusted advisor on technology controls for Engineering, GRC, Security, and Finance teams as the organization scales towards pre-IPO readiness. You will bring technical depth, a focus on automation, and the ability to partner effectively with both technical teams and external auditors.
Cyber Evaluations Engineer
Anthropic
We are seeking Cyber Evaluations Engineers to develop and execute evaluations that assess the cyber-relevant capabilities and robustness of our AI models. In this role, you will design new evaluation methodologies, conduct per-release robustness testing, and analyze data related to jailbreaks and prompt bypasses to identify areas where our safeguards are effective and where they need improvement. You will also be responsible for designing probes to detect cyber abuse in production and collaborating with the policy team to shape the overall detection architecture.
Security Engineer - Threat Intel
Anthropic
Anthropic is at the forefront of AI development, making it a prime target for sophisticated adversaries. The Threat Intelligence function within the Detection & Response team is crucial for anticipating and mitigating these threats. As a Threat Intelligence Engineer, you will be a hands-on practitioner responsible for generating actionable intelligence that guides our detection strategies, threat hunts, and defensive priorities. You will track adversaries targeting frontier AI labs, develop tools and pipelines to transform raw indicators into operational defenses, and collaborate closely with detection engineers and incident responders to ensure intelligence effectively influences security outcomes. This is a high-impact, builder-oriented role within a small team, offering significant autonomy to shape the collection, analysis, and operationalization of threat intelligence at Anthropic.
Staff + Sr. Software Engineer, Scaling
Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. This involves managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators, with a dual mandate of maximizing compute efficiency for customer growth and enabling breakthrough research by providing high-performance inference infrastructure. The team tackles complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.
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.