AWS Jobs

Hebbia is seeking an infrastructure engineer who views cloud infrastructure as a software problem. In this role, you will be responsible for Hebbia's entire AWS footprint, including accounts, networking, and container orchestration, all managed through code. You will also own the developer platform that our engineering teams utilize. The core of this position involves infrastructure-as-code, ensuring all provisioning is done programmatically. This is a hands-on build role focused on designing multi-account architectures, writing IaC for reproducible environments, optimizing cloud spend, securing infrastructure for enterprise and financial services, and streamlining the path to production for developers.

$160k - $300k

Synthesia is seeking an Applied Research Engineer to join their Video team and contribute to building the next generation of production-grade foundation models for human-centric video generation. This role involves working at the intersection of large-scale generative modeling, distributed systems, and production engineering, with a focus on developing and optimizing video base models for realistic, controllable, and expressive synthetic humans. This is an applied research position with direct product impact, requiring the candidate to advance training recipes, scale distributed systems, improve evaluation frameworks, and optimize inference for real-world deployment. The work will directly influence models used by tens of thousands of businesses globally.

Cohere

Cohere is a leading enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking engineers passionate about Agentic AI to join our team and shape how enterprises harness AI in real-world applications. This role acts as a bridge between our core North product and client engineering teams, focusing on solving complex problems and securely integrating AI into critical sectors. You will be at the forefront of deploying and supporting our AI solutions for esteemed clients.

$20k - $40k

LangChain is seeking a Deployed Engineer to join their team and work on challenging applied AI problems, focusing on production systems that real teams depend on. This role involves working directly with customer engineering teams to co-architect and co-build AI agents, ensuring technical wins through designing POCs and guiding evaluations. You will help customers deploy and operate agent-based applications, advise on architecture and best practices, and run technical demos and trainings. The position offers a fast feedback loop, visible impact, and the opportunity to shape how AI agents are built in the real world. You will also surface field feedback and contribute reusable patterns and example code, occasionally contributing code upstream to improve customer outcomes.

$150k - $250k

Sierra is seeking a hands-on IT Infrastructure Engineer to join their growing team and help scale internal systems. This is an engineering-first role where you will approach IT challenges with a focus on code, automation, and well-designed systems, similar to how product engineering teams build software. You will be instrumental in building and operating the systems that support the company's day-to-day operations, including developing internal tools, shipping integrations, and managing identity, security, and infrastructure at scale through CI/CD-style workflows. This foundational role offers significant ownership, allowing you to design and implement core infrastructure, strengthen security controls, and enhance operational efficiency through automation and scalable solutions.

Harvey

As a Senior Software Engineer on the Product Security team at Harvey, you will be a key technical contributor shaping how security is built into our AI platform. You will own the security of critical product areas, conduct deep vulnerability research and code review, and partner closely with engineering teams to raise the security bar. You'll implement both technical controls and security features within the Harvey platform, leveraging the team's collective offensive security experience. This role requires an engineering-first mindset, contributing code daily and approaching security challenges with a software engineering perspective.

$188k - $282k

Harvey

As a Staff Software Engineer on the Product Security team at Harvey, you will be instrumental in embedding security into our AI platform from its inception. Given the sensitive nature of our customers' data, security is a top priority throughout our product development lifecycle. You will take ownership of securing key product areas and lead high-impact security initiatives to elevate the security standards for the entire engineering organization. This role involves a blend of hands-on technical work, cross-functional leadership, and mentorship, offering a unique opportunity to define and build a product security program within a rapidly scaling company.

$220k - $330k

Anthropic

Anthropic is seeking a Partner Enablement leader to develop and manage programs that empower our cloud partner ecosystem, including AWS, Google Cloud, and Microsoft Azure. This role is crucial for ensuring that partner sales and technical teams are equipped to identify, qualify, and successfully close opportunities involving Anthropic's AI products. You will be responsible for building the end-to-end enablement infrastructure, encompassing onboarding, launch readiness, sales and technical training, certification, co-sell playbooks, and performance metrics. Additionally, you will ensure Anthropic's internal go-to-market teams understand our cloud partnerships, co-sell mechanics, and offering nuances to effectively collaborate with hyperscalers. This is a foundational role where you will design the operating model while executing against a rapid launch schedule, collaborating closely with Partnerships, Applied AI, Product Marketing, Sales, and partner organizations.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Capacity Engineering team plays a crucial role in managing one of the industry's largest and fastest-growing infrastructure fleets. This team is responsible for ensuring all infrastructure resources are accounted for, well-utilized, and efficiently allocated. As an engineer on this team, you will develop the production systems that power these efforts, including data pipelines for telemetry ingestion, observability tools for real-time fleet health visibility, and performance instrumentation to measure hardware utilization across various workloads. You will write production-quality code, operate at scale with Kubernetes-native infrastructure, and significantly influence decisions regarding Anthropic's substantial infrastructure spend. This role involves close collaboration with research engineering, infrastructure, inference, and finance teams, requiring comfort across data engineering, systems engineering, and observability in a high-autonomy environment.

Anthropic

We are seeking experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you will architect and operate systems that enable millions of users to interact with Claude, while also supporting frontier AI research workloads. You will help define Anthropic's database strategy by designing systems capable of handling billions of API requests, building storage solutions that operate seamlessly across GCP, AWS, and various deployment models, and creating a reliable data layer to accelerate research velocity. The team focuses on the core database platform, data movement, and caching infrastructure.

Anthropic

As a Partners Solutions Architect on the Applied AI team, you will be a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs), and cloud partners (AWS and GCP). Your role will be to strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term Go-To-Market strategy. You will act as a technical thought partner, providing expertise to understand the partner landscape, drive strategic programs, and identify opportunities to deepen partner technical capabilities. You will also collaborate with partners to develop joint solutions and codify reference architectures, and intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle.

Anthropic

Anthropic is seeking an experienced software engineer to build the platform for governance, risk, and compliance (GRC). This role involves consolidating compliance information from various systems into a unified platform. You will develop pipelines, integrations, and services to automate checks, create real-time dashboards, and generate evidence for decision-making and market expansion. As an early team member, you will collaborate with stakeholders across multiple departments to transform manual compliance processes into scalable, reliable systems. You will lead projects end-to-end and leverage Claude through agentic workflows for tasks like evidence collection and monitoring. Experience building internal platforms, data pipelines, or privacy systems is beneficial, and a compliance background is not required.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. Our growing team of researchers, engineers, and policy experts collaborates to create these advanced AI systems. The Inference team is central to this mission, responsible for building and maintaining the critical systems that serve Claude to millions of users globally. We manage the entire stack, from intelligent request routing to fleet-wide orchestration across diverse AI accelerators, ensuring Claude is brought to life efficiently and reliably.

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 end-to-end ownership of Claude on each platform, from API integration and request routing to inference execution and capacity management. The model & inference launch team specifically focuses on the validation pipeline for the inference server and load balancer, ensuring every inference change, including model launches and performance improvements, is deployed with correctness, performance, and reliability. This high-leverage infrastructure work is critical for fast and cost-effective deployment of frontier models and features, directly impacting compute capacity and the speed at which innovations reach production.

Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across AWS, GCP, Azure, and other cloud service providers. This role involves owning the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and daily operations. Engineers on this team have a high leverage impact, driving multiple revenue streams while optimizing compute resources. The complexity of managing inference efficiently across diverse providers with different hardware, networking, and operational models is growing significantly. We are seeking product-minded backend engineers who can navigate these platform differences, design cross-provider services and abstractions, and make architectural decisions to ensure reliability and cost-effectiveness at massive scale. Your work will directly contribute to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.

Anthropic

We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed.

Anthropic

As a Full-Stack Software Engineer in Reinforcement Learning (RL), you will be instrumental in building the platforms, tools, and interfaces essential for environment creation, data collection, and training observability. Your work will directly impact the quality of data used to train Anthropic's next-generation AI models. You will own product surfaces from end-to-end, encompassing backend services, APIs, and web UIs used by researchers, external vendors, and data labelers. The role emphasizes shipping polished, reliable products quickly, even when faced with ambiguous, high-stakes problems. This team operates at a rapid pace, focusing on judgment and taste to meet researcher needs, iterating on data collection strategies to distill expert knowledge into models within short feedback loops.

Anthropic

Anthropic is seeking experienced software engineers to join its Platform organization. This team builds the foundational primitives that accelerate product development and owns the infrastructure and systems that enable reliable, scaled product shipping for internal and external users. You will independently scope complex, multi-month projects, drive cross-organizational alignment, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, impacting the platform used by hundreds of thousands of companies and engineers daily.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role is at the intersection of systems engineering and security, focusing on the secure execution environment for Claude's agentic capabilities. The team owns the infrastructure that enables Claude to write code, browse the web, and use a computer, ensuring untrusted code execution is safe, fast, and reliable at scale for all Anthropic products. The goal is to create a seamless experience for product teams by providing a robust layer between the model and the outside world.

Anthropic

Anthropic's Platform Org is dedicated to empowering builders through AI. Our vision is to establish the premier platform for businesses seeking to transform themselves and their products with AI. This organization is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure, serving a diverse user base from startups to large enterprises. The platform team focuses on three key areas: enterprise fabric for multi-cloud integrations at scale, frontier capabilities for advanced developer experiences, and agentic platform for next-generation agentic infrastructure and products.