Kubernetes Jobs

Harvey

Harvey is seeking a Staff Software Engineer to join their central data platform team. This role is crucial for building the foundational systems that enable all teams at Harvey to work with data confidently and independently. You will be responsible for creating frameworks, tooling, and paved paths for product engineers, data engineers, and analysts, focusing on ingestion, warehousing, transformation, and real-time processing. A key aspect of this role involves ensuring data quality, lineage, governance, and handling sensitive data like PII and multi-region residency requirements, which are critical for serving security-conscious institutions.

$231k - $340k

Harvey

Harvey is seeking a Staff Software Engineer to join their central data platform team. This role is crucial for building the foundational systems that enable all teams at Harvey to work with data confidently and independently. You will be responsible for creating frameworks, tooling, and paved paths for product engineers, data engineers, and analysts, focusing on ingestion, warehousing, transformation, and real-time processing. A key aspect of this role involves ensuring data quality, lineage, governance, and handling sensitive data like PII and multi-region residency requirements, which are critical for serving security-conscious institutions.

$231k - $340k

Harvey

Harvey is seeking a Senior Software Engineer to join our central data platform team. This role is crucial for building the systems that empower all teams at Harvey to work with data confidently and independently. You will be responsible for creating frameworks, tooling, and paved paths for product engineers, data engineers, and analysts, focusing on their leverage and trust in our data systems. The initial focus will be on establishing a reliable foundation for ingestion and warehousing, including streaming and batch processing into Snowflake, CDC, orchestration, and schema evolution, while adhering to strict data sensitivity requirements. The role will expand to encompass transformation and compute frameworks, self-serve tooling, real-time stream processing, and robust quality, lineage, and governance layers, all while ensuring PII handling and multi-region data residency are satisfied by design.

$193k - $290k

Harvey

Harvey is seeking a Senior Software Engineer to join our central data platform team. This role is crucial for building the systems that empower all teams at Harvey to work with data confidently and independently. You will be responsible for creating frameworks, tooling, and paved paths for product engineers, data engineers, and analysts, focusing on their leverage and trust in our data systems. The initial focus will be on establishing a reliable foundation for ingestion and warehousing, including streaming and batch processing into Snowflake, CDC, orchestration, and schema evolution, while adhering to strict data sensitivity requirements. The role will expand to encompass transformation and compute frameworks, self-serve tooling, real-time stream processing, and robust quality, lineage, and governance layers, all while ensuring PII handling and multi-region data residency are satisfied by design.

$193k - $290k

World Labs is a frontier AI research and product company focused on spatial intelligence, developing world models that perceive, generate, reason, and interact with virtual and physical worlds. Their flagship product, Marble, transforms various inputs into navigable 3D worlds for applications in gaming, film, architecture, robotics, and immersive digital experiences. Backed by significant investment, World Labs is building a world-class team at the intersection of AI research and real-world deployment. This role involves building a production-grade web application for 3D Gaussian Splat scene generation, editing, and publishing. It's a high-ownership, full-stack role with a backend focus, bridging R&D and frontend. You will work across graphics/ML algorithms, backend services, and frontend UI, transforming proof-of-concepts into reliable, debuggable, and delightful shipped features. The ideal candidate thrives on making complex systems work smoothly in production and continuously improving them based on user feedback.

$200k - $325k

Decagon is seeking a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power the company's AI products. This role involves owning critical data pipelines and storage layers end-to-end, enhancing reliability and performance, and establishing streamlined processes for engineers to confidently work with data at scale. The ideal candidate will contribute to building and maintaining the foundational infrastructure for a leading conversational AI platform.

$200k - $400k

Crusoe is seeking a Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing large language models for production environments. This role involves owning the inference stack end-to-end, from profiling costs and implementing modern optimization techniques to deep dives into serving code when defaults are insufficient. The work is applied, focusing on real customer deployments with varying models, traffic, latency targets, and cost constraints. You will collaborate with customer engineering teams to tailor deployments, transition workloads from proof-of-concept to production, and ensure engineered gains are realized by users. This is a hands-on engineering position requiring coding, profiling, and low-level optimization, with a customer-facing component involving product and technical solutions work.

$185k - $225k

As a Deployed Engineer, you will tackle challenging problems in applied AI, focusing on production systems that support real-world missions rather than experimental research. You will assist defense, civilian, and intelligence customers in designing, deploying, and operating AI agents within secure, regulated, and high-stakes environments. This role offers a fast feedback loop, tangible mission impact, and the opportunity to directly influence the deployment of AI agents across the federal landscape. You will operate in environments that prioritize security, reliability, compliance (such as FedRAMP, IL levels), and operational rigor.

$150k - $250k

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

Mercor is seeking a Member of Technical Staff to join their Enterprise Platform team. This role is crucial for building and running complex agents used by enterprise customers and internal Applied AI engineers. You will work across the full stack, focusing on enterprise-grade security, routing, isolated execution, and the intelligence plane that drives improvements. This is a pure platform and infrastructure engineering position, with the opportunity to shape the future of agent platforms in a production environment. You will collaborate closely with Applied AI engineers, owning the platform that bounds the business's offerings.

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

Anthropic is seeking an exceptional Research Engineer to join its Life Sciences team. This role focuses on accelerating progress in life sciences through AI, from early discovery to translation. You will leverage deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies, pushing the boundaries of AI in biology. Working at the intersection of AI and biological sciences, you will develop rigorous methods to measure and improve model performance on complex scientific tasks, collaborating with researchers and engineers to build AI systems for all phases of research and development, while upholding Anthropic's commitment to safety and beneficial impact. Previous experience in life sciences is welcome but 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

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 is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams, including API Core, API Capabilities, API Knowledge, API Distributability, and API Agents.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Security Engineering team is crucial in protecting these AI systems and maintaining user trust. This role involves owning and contributing to key areas such as identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will have the opportunity to define architecture in largely greenfield work, collaborating closely with various teams to ensure the security and integrity of Anthropic's AI development and deployment processes.