Python Jobs

OpenAI

We are seeking dedicated, experienced, and deeply curious individuals to join our User Operations team. In this role, you will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, your work will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future, partnering closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience.

Applied Intuition is seeking an Enterprise Security Engineer to lead security operations within their security team. This role is responsible for ensuring the security of systems and data used by a global workforce, implementing adequate security controls to manage organizational risk, and collaborating with engineering, operations, and legal teams to ensure compliance with security requirements. The position involves owning the administration and policy governance of various security platforms, designing and evolving data protection policies, and leading security technology evaluations.

$60k - $300k

Cohere

Cohere is seeking Software Engineers with Applied AI experience to join their Agentic Platform team. This role involves bridging the gap between Cohere's North AI workspace platform and client engineering teams, focusing on solving complex problems and securely integrating AI into critical sectors. You will be responsible for the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), transforming prototypes into production-grade AI agents that deliver tangible business value. This position requires close collaboration with customers to address real-world business challenges, often building novel agent workflows that integrate LLMs with various tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability from the outset.

$20k - $40k

Cohere

Cohere is seeking a Forward Deployed Engineer for its Agentic Platform team. This role acts as a bridge between Cohere's North AI workspace platform and enterprise clients, focusing on solving complex problems and securely integrating AI into critical sectors. The engineer will be responsible for the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from prototype to production, ensuring reliability, observability, safety, and auditability. This position involves working directly with customers on real-world business problems, often building novel agent workflows that integrate LLMs with tools, APIs, and data sources.

$20k - $40k

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

We are seeking a GTM Engineer to join our revenue organization, acting as its RevOps lead. In this role, you will own and develop the CRM, enrichment tools, signal layer, agent fleet, and all automations that drive revenue from product usage to closed-won deals. You will write code and build tooling to scale productivity across the GTM team, solving operational challenges with software like Python, SQL, APIs, and agentic workflows. This is a hands-on build role focused on redesigning and implementing systems from the ground up, treating GTM as a product that delights both internal teams and customers.

OpenAI

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI.

OpenAI

We are seeking a hands-on Applied AI Engineer with deep cybersecurity experience and a product mindset to help government and national security customers apply frontier AI to critical cyber missions. You will bring practical expertise in areas such as red teaming, vulnerability research, reverse engineering, threat hunting, and similar fields, ideally developed through work with the defense and intelligence sector. Working directly with cyber operators, security researchers, and engineering teams, you’ll identify high-value applications, write code, build and evaluate AI-powered tools and agentic workflows, and move solutions from prototype into secure operational use. You’ll design architectures using OpenAI models, APIs, and existing security tooling, grounded in customers’ mission requirements and operational constraints. You will collaborate closely with Sales, Solutions Engineering, Applied Research, Product, and Security teams to deliver measurable improvements in cyber capabilities and translate customer experience into better models and products.

Anthropic

We are seeking Cyber Evaluations Engineers to develop and execute evaluations that assess the cyber-relevant capabilities and robustness of our AI models. In this role, you will design new evaluation methodologies, conduct per-release robustness testing, and analyze data related to jailbreaks and prompt bypasses to identify areas where our safeguards are effective and where they need improvement. You will also be responsible for designing probes to detect cyber abuse in production and collaborating with the policy team to shape the overall detection architecture.

Decagon is seeking an AI Acceleration Engineer to build and enhance the systems that power the company's operations. This is a hands-on technical role focused on making AI a practical tool for every team. You will extend existing platforms, automate manual processes in areas like billing and collections, and replace spreadsheet-based workflows with robust systems. A key part of this role involves "AI-pillaring" the company by providing teams with the necessary AI infrastructure, skills, and agents to automate their own work. You will own your projects end-to-end, from initial requirements to ongoing maintenance, working directly with the stakeholders whose processes you are improving. The ideal candidate is a strong generalist with a knack for engineering away manual processes and a deep understanding of system design.

$180k - $220k

Anthropic

Anthropic is at the forefront of AI development, making it a prime target for sophisticated adversaries. The Threat Intelligence function within the Detection & Response team is crucial for anticipating and mitigating these threats. As a Threat Intelligence Engineer, you will be a hands-on practitioner responsible for generating actionable intelligence that guides our detection strategies, threat hunts, and defensive priorities. You will track adversaries targeting frontier AI labs, develop tools and pipelines to transform raw indicators into operational defenses, and collaborate closely with detection engineers and incident responders to ensure intelligence effectively influences security outcomes. This is a high-impact, builder-oriented role within a small team, offering significant autonomy to shape the collection, analysis, and operationalization of threat intelligence at Anthropic.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. This involves managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators, with a dual mandate of maximizing compute efficiency for customer growth and enabling breakthrough research by providing high-performance inference infrastructure. The team tackles complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.

Replit

Replit is seeking an AI Agent Security Architect to serve as the primary technical authority for the security blueprint of Replit's autonomous and AI agents. This role involves designing, implementing, and maintaining runtime defense systems, guardrail frameworks, and sandboxing architectures for AI agents that execute code and interact with tools on the platform. The ideal candidate will lead high-impact AI security initiatives, bridging the gap between unpredictable AI behavior and robust cybersecurity controls for both technical and executive audiences.

OpenAI

As an AI Architect, you will be the senior technical owner for a named portfolio of customers within the public sector, serving as the primary technical counterpart to their leadership teams. Your role involves shaping each customer's AI strategy and guiding their journey from initial discovery and solution evaluation through deployment, adoption, and ultimately, measurable mission impact. You will own the technical account plan across various OpenAI offerings, translating mission priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value. While the Account Director leads the overall account strategy and relationship, you will spearhead the technical strategy, customer journey, and path to production impact, remaining accountable for technical outcomes and coordinating specialists as needed.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We are seeking individuals for our APX rotational program, designed to develop the next generation of AI builders. This program offers a unique opportunity to work on AI agents directly with top global brands, gain comprehensive training, and rotate across Agent Development and Core Product teams. We believe that in the age of AI, generalists with diverse training and experience will be crucial for creating, shipping, and distributing great products. This role is ideal for those graduating by June 2027 who are eager to shape the future of AI.

OpenAI

OpenAI's User Operations team is building the first post-AGI support team, dedicated to helping customers adopt AI and ensuring an exceptional product experience. This role involves resolving complex issues, providing technical guidance, and supporting customers in maximizing value from OpenAI's products. You will work directly with customers through support tickets and live calls, troubleshooting high-impact and often ambiguous technical problems. Beyond resolving issues, you will help define world-class support in an AGI-driven future, partnering with Engineering, Product, and Operations to improve systems and leverage AI to transform support operations.

OpenAI

We are seeking dedicated, experienced, and deeply curious individuals to join our User Operations team. In this role, you will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in a fast-paced environment. Your work will directly support mission-critical systems being built on OpenAI's platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you will help define world-class support in an AGI-driven future, partnering closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience.

Clay is seeking a Manager, GTM Engineering - Seller Efficiency to build and lead a team dedicated to making our sales operations faster, smarter, and more effective. This role involves managing a team of GTM Engineers while remaining hands-on with complex technical challenges, setting strategic direction, and ensuring all automations measurably enhance sales processes. You will collaborate closely with the Head of Sales to transform intricate business problems into sophisticated technical solutions and foster the development of engineers who approach challenges as builders rather than order-takers.

OpenAI

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: - Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) - Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions - Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration - Optimize internal applications for usability, speed, and scale to increase team velocity and reduce time-to-fix for safety issues - Transform successful AI assisted safety workflows into external facing safety products, that empowers developers to build safer AI, uplift the industry standard for AI safety, and prepare the world for more capable AGI. You might thrive in this role if you: - Have 5+ years of relevant engineering experience at tech and product-driven companies - Are proficient with JavaScript, React, and other web technologies - Are proficient with at least one backend language (we use Python) - Have experience with relational databases like Postgres/MySQL - Have an interest in AI/ML (direct experience not required) - Are excited to partner closely with researchers and policy writers to ship tools that directly improve the safety of OpenAI’s models About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.  We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Applied Intuition is seeking an Autonomy Integration Software Engineer to develop, deploy, and maintain the core systems for all-domain autonomy capabilities. This role involves integrating new vehicles and hardware, with a significant portion of the work focused on deploying and testing software on autonomous vehicles in real-world environments. You will be responsible for systems engineering, field deployment and testing, interfacing with sensors and autopilots, optimizing perception and autonomy modules, managing communication systems, integrating third-party software, and ensuring software quality through CI/CD processes. Collaboration with cross-functional teams and documentation are also key aspects of this position.

$60k - $300k