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AI Infrastructure Engineer Jobs with Visa Sponsorship

AI infrastructure engineers build the platforms other teams train and serve models on: GPU clusters, distributed training, inference serving, and the tooling around them.

Every role here says in its posting that the company sponsors work visas, such as the H-1B in the US or the Skilled Worker visa in the UK. Terms vary: some companies only transfer an existing visa, and some sponsor only in certain countries, so confirm the details before you apply.

Anthropic, Prime Intellect and Reflection ai have the most open roles here right now. The skills these postings ask for most are Distributed Systems, Rust, Anthropic and Python.

Open roles
10
Typical salary
$320k - $485k
Median of 7 posted ranges. Salary guide
Newest role
11d ago

Hiring now

Skills these roles ask for

Latest visa-sponsored AI Infrastructure Engineer roles

Staff+ Software Engineer, VectorDB

11d ago
Anthropic

Anthropic

Anthropic is seeking a Staff+ Software Engineer to enhance the vector search infrastructure powering Claude. This role is crucial for Claude's ability to access information, impacting web search, conversation memory, and model training. You will join a small, foundational team responsible for the architecture, performance, scalability, and cost of the vector database layer. As a hands-on engineer, you will contribute to coding and make key architectural decisions, shaping the future evolution of this critical system within the Databases organization.

$320k - $485k

New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WA hybrid
AnthropicGoRust +5 more

Research Engineer - RL Infrastructure

12d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training/deployment for post-training at scale, including SFT, RL, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding and is looking for individuals passionate about frontier research, infrastructure, and go-to-market strategies in a nascent category.

$150k - $350k

San Francisco onsite Full-time
OpenAILangChainPyTorch +7 more

Member of Technical Staff - Pre-Training Evals Infra

17d ago
Reflection ai

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower users to control their intelligence and shape the future of AI. In this role, you will develop the critical evaluation infrastructure that researchers rely on to understand model capabilities, inform training decisions, and assess readiness for release. Your work will encompass evaluation authoring, distributed execution, and results analysis, with a specific emphasis on pre-training. You will collaborate closely with researchers to enhance the speed, reliability, and ease of use of evaluations, ensuring that the outcomes accurately reflect the models being assessed.

Salary not listed

New York, NY onsite Full-time
PythonRustInference +3 more

Staff Software Engineer, Inference

7mo ago
Anthropic

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

€295k - €355k

Dublin, IE hybrid
AnthropicAWSGoogle Cloud +5 more

Senior Software Engineer, Inference

1y ago
Anthropic

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

€235k - €295k

Dublin, IE hybrid
AnthropicAWSGoogle Cloud +6 more

Staff + Sr. Software Engineer, Cloud Inference

1mo ago
Anthropic

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves owning the end-to-end product on each platform, from API integration and intelligent request routing to inference execution, capacity management, and operations. Engineers on this team are highly leveraged, driving multiple revenue streams while optimizing compute resources. The role requires product-minded backend engineers who can navigate platform differences, design cross-provider services and abstractions, and make architectural decisions for reliability and cost-effectiveness at massive scale. The work directly contributes to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.

$320k - $485k

San Francisco, CA | Seattle, WA hybrid
AnthropicAWSAzure +8 more

Staff + Sr. Software Engineer, Cloud Inference Launch Engineering

1mo ago
Anthropic

Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across major cloud platforms like AWS, GCP, and Azure. Within this team, the model & inference launch team focuses on the validation pipeline for inference servers and load balancers. This critical infrastructure work ensures that every inference change, including new model launches and performance improvements, is deployed with correctness, performance, and reliability. The goal is to make validation fast, cost-effective, and trustworthy, directly impacting how quickly advanced models and features reach users on all cloud platforms and how efficiently compute resources are utilized.

$320k - $485k

San Francisco, CA | Seattle, WA hybrid
AnthropicAWSAzure +7 more

Pre-training Data Infrastructure Engineer

1y ago
Anthropic

Anthropic

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are 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.

$500k - $850k

San Francisco, CA hybrid
AnthropicPythonRust +4 more

Staff+ Software Engineer, Distributed Systems

1mo ago
Anthropic

Anthropic

We are seeking software engineers to join our Safeguards team, focusing on building robust safety and oversight mechanisms for our AI systems. This role involves developing distributed and scalable systems to monitor models, prevent misuse, and ensure user well-being. You will work to detect unwanted model behaviors and prevent disallowed use, applying your technical skills to uphold principles of safety, transparency, and oversight while enforcing terms of service and acceptable use policies.

$320k - $485k

New York City, NY; San Francisco, CA hybrid
AnthropicPythonRust +2 more

Staff + Senior Software Engineer, Inference Infrastructure

4mo ago
Anthropic

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

$320k - $485k

San Francisco, CA | New York City, NY | Seattle, WA hybrid
AnthropicAWSAzure +7 more

Questions about visa-sponsored AI Infrastructure Engineer jobs

How many visa-sponsored AI Infrastructure Engineer jobs are open?
There are 10 open visa-sponsored AI Infrastructure Engineer jobs on AiRagJobs right now, the newest posted 11d ago. New roles are added every day.
How much do visa-sponsored AI Infrastructure Engineer jobs pay?
The median posted salary range is $320k–$485k, from 7 jobs here that list pay. That's base salary; equity and bonuses aren't included. See the full salary guide
Which companies are hiring for visa-sponsored AI Infrastructure Engineer jobs?
Anthropic, Prime Intellect and Reflection ai have the most open roles right now.
Do all of these jobs sponsor visas?
Each posting says the company sponsors work visas, but the terms vary. Some only transfer an existing visa, and some sponsor only in certain countries, so ask the company before you apply.