Python Jobs

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's Security Governance, Risk, and Compliance (GRC) team is seeking a Security Controls Assurance Lead to translate regulatory, customer, and voluntary obligations into actionable controls. This role will define control requirements and acceptance criteria for global compliance obligations across the software development lifecycle, partnering with engineering teams to ensure implemented controls meet defined standards. The goal is to build an integrated compliance and risk ecosystem that serves as a trust engine and an independent risk advisor for Anthropic.

Anthropic

We are seeking an Engineering Manager, GRC to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them. At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Replit

Replit is seeking a Senior AI Builder to design, architect, and ship AI-powered internal platforms that run the company's operations across multiple departments. This role requires a builder with substantial autonomy who can tackle ambiguous business problems, understand them deeply, and deliver software solutions. The ideal candidate will possess a strong understanding of business mechanics, revenue generation, and operational challenges across various functions like People Operations, Customer Support, Sales, Marketing, Finance, and Recruiting. Experience running a business or working in a fast-scaling startup is highly valued, emphasizing ownership, shipping with incomplete information, and driving outcomes.

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.

thinkingmachines

Thinking Machines Lab is seeking a full stack engineer to build and ship products from prototype to scale, and to maintain tools that accelerate research and product teams. This role involves working across frontend and backend components, and contributing to the reliability, observability, and security of production systems. The company's mission is to empower humanity through advancing collaborative general intelligence, building a future where everyone has access to AI tools for their unique needs.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a full-stack engineer to develop and deploy the products and services that Tinker users engage with daily. This role involves working across frontend, backend, and infrastructure to build the Tinker console, developer tools, and other essential components for the platform. Tinker is a fine-tuning API that enables researchers and developers to customize frontier AI models using their own data and algorithms, managing the underlying infrastructure to provide flexibility and access to advanced capabilities.

$350k - $475k

Anthropic

Anthropic is seeking software engineers to develop safety and oversight mechanisms for their AI systems. This role focuses on building systems to detect unwanted model behaviors, prevent misuse, and ensure user well-being, enforcing terms of service and acceptable use policies. You will apply your technical skills to uphold principles of safety, transparency, and oversight.

thinkingmachines

Thinking Machines Lab is seeking a developer productivity engineer to enhance internal software development processes, focusing on safety, speed, and user experience. This role will concentrate on AI tools and coding agents, collaborating with platform, security, and product engineers to build cutting-edge tooling for AI-assisted software development and significantly accelerate the inner development loop. The position involves both establishing company-wide platforms and assisting individual developers in optimizing their workflows.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an engineer to join a high-impact team focused on data infrastructure. This role is crucial for architecting and scaling the core systems that power distributed training pipelines, multimodal data catalogs, and intelligent processing of petabytes of data. You will work directly with researchers to accelerate experiments, develop new datasets, enhance infrastructure efficiency, and derive key insights from our data assets. If you are passionate about distributed systems, large-scale data mining, and building foundational tools from the ground up, we encourage you to apply.

$350k - $475k

Anthropic

Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't.

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.

Cohere

Cohere is seeking a Forward Deployed Engineer to partner with Canadian public sector organizations, enabling the secure and ethical deployment of Generative AI solutions. This role involves working directly with customers to understand their challenges and implement solutions using Cohere's AI stack, acting as a bridge between the core North product and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors, focusing on Agentic AI development and deployment.

$20k - $40k

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.

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. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research.

Anthropic

Anthropic is seeking a senior individual contributor to join its Finance Analytics & Business Intelligence team. This role will be responsible for defining how the company measures the value of its AI models and its market position. The work involves tackling open-ended, technical questions about model value per dollar and token, comparing performance against industry frontiers, and informing pricing and packaging decisions. The individual will act as an analytical lead, collaborating closely with Product Finance and Data Science teams to build robust measurement systems and provide data-driven insights.

Anthropic

Anthropic is seeking a seasoned Privacy Engineer to join its growing team and help scale privacy infrastructure within the AI landscape. This individual contributor role involves providing technical and cultural leadership, architecting privacy-preserving systems, and driving the implementation of cutting-edge privacy technologies across AI infrastructure. The position operates at the intersection of privacy engineering, AI safety, and distributed systems to address novel challenges in protecting user data at scale.

As a Corporate IT Engineer at WRITER, you will be instrumental in designing, building, and scaling the internal technology systems that empower our rapidly growing team. This role goes beyond traditional IT support, focusing on architecting seamless, secure, and automated experiences across our SaaS and hardware landscape. You will have the unique opportunity to influence how a leading AI company operates internally, ensuring our infrastructure can keep pace with our ambitious growth.

Anthropic

Anthropic is seeking a Safeguards Enforcement Analyst focused on Violence & Extremism to build and execute operational workflows for assessing AI model behavior, driving enforcement decisions, and developing evaluations across a range of policy areas. This role involves detecting and mitigating misuse of AI systems that could lead to real-world harm, including issues related to weapons, critical infrastructure, violent extremism, and threats of violence. Candidates should be aware that this position may involve exposure to explicit and disturbing content.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their intelligence and shape the future of AI. The Head of Technology & Security Engineering will architect and operate the security engineering foundation protecting our corporate environment, multi-cloud research infrastructure, and significant GPU training capacity. This leadership role encompasses the full technical security stack, from end-user compute and zero-trust access to cloud security, detection engineering, and security-as-code, enabling rapid research progress without compromising rigor. Positioned at the intersection of security engineering, infrastructure, and research operations, this role is crucial for safeguarding sensitive assets like model weights, training data, and GPU capacity, while maintaining a low-friction environment for researchers and engineers. The ideal candidate possesses deep technical expertise and executive presence to lead the security engineering function, represent the company's security posture, and manage vendor and contractual risks.