Find your next AI Engineering role

12+ open roles · 22+ companies hiring

12 open positions

Staff+ Software Engineer, Account Compromise

7d ago
Anthropic

Anthropic

Anthropic's Safeguards organization is responsible for building systems that ensure Claude is safe to use at scale. The Account Compromise team focuses on protecting users from losing account control and preventing compromised accounts from being used to abuse the platform. This role involves owning the architecture for detecting, containing, and remediating account compromise across Claude and its Developer Platform, making key design decisions for other engineers. The work requires deep technical expertise, adversarial problem-solving, threat modeling, and the ability to scope and lead complex, multi-month projects from ambiguous beginnings. You will operate with significant autonomy, driving alignment with various teams and shaping Anthropic's global approach to account security.

London, UK onsite
AnthropicPythonClaude +3 more

Data Scientist, North Insights

8d ago
Cohere

Cohere

Cohere is seeking a Data Scientist to join our Analytics and Data Insights team. In this role, you will tackle complex, open-ended problems that shape product and company strategy. You will design and execute experiments, build predictive models, and develop analytics that drive product decisions and demonstrate value to enterprise customers. This position offers the opportunity to own analytical work end-to-end, from framing questions to shipping actionable insights and tools that are relied upon by product leaders, sales teams, and customers.

United States hybrid FullTime
CoherePythonGo +2 more

Engineering Manager, Model Infrastructure

9d ago
Harvey

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 rare chance to help build a generational company at a true inflection point, with strong product-market fit and world-class investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As the Engineering Manager for Model Infrastructure, you will lead the team responsible for the platform powering every model request across Harvey, partnering closely with AI Research, Product Engineering, and Infrastructure to ensure reliability, scalability, and cost-efficiency. This is a strategic engineering organization, critical for every product capability, and will evolve to build the infrastructure for Harvey to train, evaluate, deploy, and operate its own frontier AI models.

$260k - $340k

San Francisco hybrid FullTime
OpenAIAnthropicAzure +5 more

Member of Technical Staff - Data Platform

9d ago
Reflection ai

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We are building open models that empower individuals to control their intelligence and shape the future of AI. This role focuses on building and operating the company-wide foundations platform, providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling. The team designs and implements core data systems and pipelines that power research, training, and production environments, enabling high-velocity experimentation, reliable model development, and scalable production workflows by unifying ingestion, processing, and orchestration across the data lifecycle.

New York, NY onsite FullTime
AirflowSparkKafka

Member of Technical Staff - Engineering Lead, Data Ingestion

10d ago
Reflection ai

Reflection ai

Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.

San Francisco, CA onsite FullTime
AirflowSpark

Threat Intelligence Engineer

16d ago
Anthropic

Anthropic

Anthropic is seeking a Threat Collections Engineer to join its Threat Intelligence team. This foundational engineering role involves building the infrastructure critical for threat discovery. You will integrate external data sources, develop automated detection systems for lead generation, and create internal tooling to enhance investigator impact. The position offers the opportunity to take projects from initial concept through to production, collaborating closely with investigators to understand their needs and scale the collections function.

Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC remote
AnthropicPythonClaude +2 more

Finance Systems Integration Engineer

16d ago
Anthropic

Anthropic

We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development. You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.

San Francisco, CA | Seattle, WA onsite
AnthropicPythonTypeScript +5 more

Lead/Manager Together Cloud Infrastructure

1mo ago
Together AI

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Amsterdam hybrid
AWSAzureKubernetes +9 more

Senior Software Engineer - Together Cloud Platform

1mo ago
Together AI

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI model lifecycle, combining a fast LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform. This platform is designed to be highly available, global, and extremely fast, virtualizing cutting-edge ML hardware and enabling practitioners with self-serve AI cloud services. It serves both internal StaaS products and external cloud customers across numerous data centers worldwide.

$160k - $230k

San Francisco remote
AWSAzureKubernetes +8 more

Software Engineer, Robotics

2mo ago
Scale AI

Scale AI

Scale's Robotics business unit is focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

Mexico City, MX onsite
AWSDockerKubernetes +9 more

Software Engineer, Robotics & Autonomous Systems

2mo ago
Scale AI

Scale AI

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

$180k - $225k

San Francisco, CA remote
AWSDockerKubernetes +9 more

Software Engineer, Robotics

2mo ago
Scale AI

Scale AI

Scale's Robotics business unit is focused on solving the data challenges in Physical AI for Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor to building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own significant parts of our robotics platform, collaborate directly with cutting-edge robotics and AV customers, and influence the future of embodied AI systems.

Argentina; Uruguay remote
AWSDockerKubernetes +9 more

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.

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