Python Jobs

Glean is seeking backend and infrastructure engineers to build platforms that measure, explain, and improve AI quality at scale. This role involves owning core systems for large-scale evaluations, processing traces, powering observability workflows, and providing engineers with clear signals about assistant and agent behavior. You will work on systems that need to be scalable, secure, permissions-aware, fast, and cost-efficient, directly shaping how AI products are shipped. This is an opportunity to work at the intersection of distributed systems, data infrastructure, applied AI, and product quality, helping to build the systems that determine if new models, prompts, retrieval strategies, and agent workflows are ready for enterprise customers.

Mercor is seeking an Enterprise Applied AI Leader to build and scale a technical delivery team responsible for deploying Mercor's Enterprise AI platform for enterprise customers. This is a customer-facing leadership role integrated with Sales/GTM and delivery teams, focused on leading engineers in the end-to-end technical delivery of production-grade AI systems. You will work hand-in-hand with customer stakeholders to solve complex business problems and contribute to the commercial relationship, with success measured by customer outcomes and commercial impact. Your primary responsibility is enabling your engineering team to execute, while being technically credible and capable of hands-on contribution.

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.

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

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

OpenAI

OpenAI is seeking an experienced systems generalist to join the GPT Infrastructure team. This role involves building an automated inference optimization platform that handles workload analysis, target hardware profiling, compiler and runtime context, and trusted verification. You will design and implement both the OpenAI-hosted control plane and the partner-side software responsible for evaluating candidates on real accelerator hardware. The goal is to create a reliable system that ensures reproducible performance results and maintains clear trust boundaries for sensitive information, turning a powerful research workflow into a scalable product.

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

Lambda Security is responsible for protecting critical digital assets, including training data, model weights, and sensitive inputs for AI models. As a Security Engineer, you will contribute to various aspects of the security program, such as building detections, hardening infrastructure, reviewing designs, automating tasks, and responding to incidents. You will collaborate closely with Product Engineering, Data Center Operations, IT, and Technical Program Managers to enhance the security posture of Lambda's AI cloud infrastructure. The role involves delivering on the security roadmap, expanding detection capabilities for AI-specific threats, maturing incident response processes, and developing security automation. You will have access to LLMs hosted on Lambda's infrastructure to advance security operations.

$12k - $18k

We are seeking an IT Engineer to manage the employee technology experience within our London office and contribute to scaling Cognition's global IT operations. This role involves ensuring employees have secure and reliable technology, providing responsive support, and enhancing IT operations through automation and AI-enabled workflows. The ideal candidate will possess in-depth knowledge in two to three IT disciplines and a desire to explore new areas. This position requires a full-time, in-person commitment to our London office, emphasizing teamwork and collaboration.

Fiddler is building trust into AI, especially with the rise of Generative AI and Agents. Our platform helps organizations deploy trustworthy and transparent AI solutions by monitoring, evaluating, securing, analyzing, and improving AI applications. We partner with AI-first organizations to establish responsible AI practices, fostering user trust. Our Integrations Team focuses on the connective tissue between customer AI stacks and our observability platform, building OpenTelemetry-native SDKs, framework instrumentation, and ingestion pipelines for various AI environments including predictive models, LLMs, GenAI, and agentic applications. This role offers a broad scope, combining SDK/instrumentation leadership, OpenTelemetry expertise, distributed systems architecture, and AI observability platform development.

This role is critical in architecting and scaling the trust infrastructure to protect over 70 million users while maintaining the platform's creative freedom. You will design distributed systems for real-time content scanning, anomaly detection, and rate limiting. This includes defining and evolving the core data model and storage systems for abuse detection, and developing high-volume event pipelines and internal tools to enable swift threat response by support teams. You will join a small, high-impact team focused on building the foundation for trust at scale, working across databases, public APIs, and event infrastructure. The position requires balancing long-term technical investments with rapid shipping velocity and collaborating across engineering, product, and design to shape the future of safety at the company.

$180k - $310k

Poolside is building a world where AI is the engine behind economically valuable work and scientific progress, aiming to accelerate software development with agentic systems, coding assistants, and frontier models. This role focuses on designing and implementing the build, CI/CD, and tooling infrastructure that researchers and engineers rely on daily. You will join the infrastructure team as the second engineer focused on developer experience, partnering closely with the current owner while sharing on-call, incident response, and platform ownership. The mission is to make it seamless for researchers and engineers to build, test, and ship by optimizing the monorepo, ensuring reproducible builds, and maintaining a coherent Python ecosystem through automation.

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.

Runpod is seeking a Site Reliability Engineer to join their remote-first team. This role is central to ensuring the stability, performance, and operational excellence of Runpod's global AI Developer Cloud platform. You will partner with engineering teams to enhance system design, strengthen observability, and proactively prevent incidents. This position blends software engineering with production operations, focusing on reliability frameworks, SLO design, automation, and production hardening to reduce errors and improve performance across various services and infrastructure. Your work will directly impact platform uptime, incident frequency, and overall system resilience, playing a key role in maintaining trust with developers running critical AI workloads.

$150k - $200k

Crusoe is seeking a Security Engineer to join the Security Engineering team as the primary driver for implementing security defaults and endpoint visibility. This is a strategic, architectural position focused on building secure-by-default endpoints that protect the organization as it scales. You will be responsible for security architecture, endpoint visibility, and maintaining our security posture across a rapidly growing global fleet of macOS, Windows, iOS, and Android devices. This role involves cross-functional partnership with Security and People Operations, with genuine scope to shape how Crusoe manages and secures endpoints.

$170k - $205k

pika

Pika is shaping the future of creative infrastructure with real-time, multimodal generation and intelligent agentic platforms. We are seeking passionate Research Interns at the BS, MS, or PhD level with significant experience working on Videogen to join our team and make an immediate impact. In this role, you will directly contribute to mid-training and post-training efforts for Videogen models and support advanced generative systems. This internship is ideal for students and researchers who have hands-on Videogen experience, are excited to work at the intersection of generative AI and multimedia, and are eager to make meaningful contributions alongside top AI talent.

LangChain is seeking an IT Systems Engineer to join our growing team in San Francisco. This role is critical to maturing and scaling our IT foundation as the company expands. You will bring deep technical expertise to our fleet management and SaaS administration, with the opportunity to shape how we manage our fleet, identity, SaaS stack, and business automation. The ideal candidate has startup experience, thrives in ambiguity, enjoys problem-solving, and is excited to build scalable systems to support our global team.

$150k - $170k

Replit

Replit is seeking a Security Operations Lead (SOC Lead) to establish, enhance, and manage a 24/7 detection and response capability within a modern, cloud-native, and AI-driven environment. This leadership role will oversee global SOC functions including monitoring, SIEM management, detection engineering, alert triage, and operational readiness. A key aspect of this position involves evaluating and integrating emerging AI-based SOC products and autonomous response platforms. The role requires monitoring across multi-cloud environments (primarily GCP, with AWS/Azure secondary), Kubernetes, SaaS services, endpoints, developer tools, and AI workloads. Collaboration with Cloud Security, Compliance/GRC, SRE, Platform Engineering, IT/Endpoint teams, and AI Infrastructure is essential to ensure the detection strategy scales effectively against evolving threats. This is a hands-on leadership opportunity to shape the future of SOC operations while addressing complex challenges in a high-scale AI setting.

Glean is seeking product engineers to contribute to the development of AI Agents for the workplace. This role involves collaborating across product, AI, and platform teams to enable users in building, evaluating, self-improving, deploying, and operating sophisticated agents within the Glean platform. It's a cross-functional position for engineers who enjoy owning user-facing product experiences from conception to completion, while also engaging with the underlying systems. You will influence how users create agents, how these agents function in auto-mode or independently, how they are assessed and enhanced over time, and how to ensure their reliability, safety, and scalability.