Python Jobs

Replit

Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations.

Harvey

Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a unique opportunity to build a generational company at an inflection point, scaling rapidly and defining a new category. The team operates with intensity, ownership, and a commitment to the mission, valuing decisiveness, simplicity, and continuous improvement. If you are driven to do the best work of your career alongside like-minded individuals, Harvey is the place to be.

$193k - $290k

Replit

Replit is seeking an experienced Growth Infrastructure Engineer to build and maintain the technical foundation for scalable growth experiments, high-performance data pipelines, and automated systems. This role is at the intersection of growth, product, and infrastructure, requiring deep technical engineering skills combined with an understanding of experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure growth initiatives run smoothly and scale efficiently across systems. This is a unique opportunity to be an early member of a new Growth team, with significant ownership and influence over technical direction and product outcomes, working on a product that has experienced massive user growth.

Cohere

Cohere is seeking senior software engineers with Applied AI experience to join their team as Forward Deployed Engineers for the Agentic Platform in Korea. This role involves bridging Cohere's North AI workspace platform with 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), from prototypes to production-grade AI agents, delivering tangible business value. This position requires working closely with customers on real-world business problems, often building novel agent workflows that integrate LLMs with tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability from the outset.

$20k - $40k

Cohere

Cohere is seeking a Senior Software Engineer with a focus on security to join their North team. This role involves owning and shipping production security features for AI agents, rather than just reviewing them. You will play a key part in building and securing the North architecture, contributing to the core development of security features and ensuring AI agents are secure by design.

Mistral AI

Mistral AI is democratizing AI through high-performance, optimized, open-source models and solutions. We are a dynamic, collaborative team passionate about AI's potential to transform society, with a diverse workforce driving innovation. As a Research Engineer – ML track, you will build and optimize large-scale learning systems powering our open-weight models. You will work hand-in-hand with Research Scientists, either enhancing the shared training framework and data pipelines or embedding within a research squad to turn fresh ideas into scalable code.

Harvey

As a Software Engineer on the Core Infrastructure team at Harvey, you will play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. This foundation powers every user interaction with Harvey, processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You will work in an environment balanced between innovation and operational excellence, ensuring Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.

$200k - $250k

Mistral AI

Mistral AI is seeking an Evaluation Engineer to join our customer-facing Applied AI team. This role is crucial for ensuring our AI solutions are production-ready by designing methodologies, building infrastructure, and defining evaluation standards across various industries and use cases. You will bridge the gap between research and customer needs, creating evaluation frameworks that measure LLM performance in real-world scenarios, moving beyond standard benchmarks to address domain-specific risks and requirements. This position offers a unique opportunity to impact the deployment of cutting-edge AI by directly contributing to its measurable success for enterprise clients.

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview The Developer Experience team is what keeps Harvey’s fast growth momentum possible — the kind of fast where every week brings new products, new capabilities, and new challenges. We build the CI/CD systems, internal frameworks, and platform-level guardrails that enable all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on the Developer Experience team, you will be responsible for creating frameworks and systems that maximize the velocity and efficiency of every engineer at Harvey. You’ll work across the entire tech stack and collaborate with every team to instill reliability, automation, and simplicity into our developer workflows. You'll also have a unique opportunity to apply AI directly to the problem of developer productivity, defining the future of software development within an AI-native company. If you are passionate about building foundational platforms to enable other engineers to move fast with confidence, we’d love to hear from you. What You’ll Do - Develop and scale a world-class developer platform to accelerate Harvey's hyper growth. Boost velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments.. - Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications. - Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle. - Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform, ensuring services built on our foundation are robust, easy to test and maintain. - Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality — empowering every Harvey engineer to move fast with confidence. - Set the strategic direction and roadmap for scaling developer experience as Harvey expands, and contribute strategically to team decision-making. - Provide strong technical leadership and mentorship, upholding a high bar for engineering excellence across the team. What You Have - 7+ years of software engineering experience, including building scalable backend systems or internal developer platforms. - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals and distributed systems. - Hands-on experience with CI/CD systems (Builtekite, Github Actions), test frameworks, or load and performance testing. - Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform). - A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability. - Proven technical leadership throughout the entire project lifecycle, including ideation, design, implementation, and productionization. - Experience mentoring engineers, guiding architectural decisions, and shaping culture to foster engineering excellence. - Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive - Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback. - Experience integrating AI agents into a developer ecosystem is a strong plus. Compensation Range $238,000 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

$238k - $290k

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is on the Developer Experience team, which is crucial for maintaining Harvey's rapid growth by building CI/CD systems, internal frameworks, and platform-level guardrails. The team enables all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on this team, you will create frameworks and systems to maximize the velocity and efficiency of every engineer at Harvey, working across the entire tech stack. You will also have a unique opportunity to apply AI directly to developer productivity, shaping the future of software development within an AI-native company.

$175k - $250k

Cohere

Cohere is seeking a Senior Software Engineer to join the North Security team and build AI agents that revolutionize enterprise security. This role involves creating autonomous systems to handle complex security tasks, empowering security teams with intelligent systems. You will be instrumental in developing cutting-edge AI solutions for real-world business problems, contributing to the widespread adoption of AI.

Cohere

Cohere is seeking a Staff Software Engineer to join our internal infrastructure team, responsible for building and operating world-class infrastructure and tools for training, evaluating, and serving Cohere's foundational AI models. You will work closely with AI researchers to support their AI workload needs on cutting-edge systems, focusing on stability, scalability, and observability. This role involves building and operating superclusters across multiple clouds, directly accelerating the development of industry-leading AI models. Participation in a 24x7 on-call rotation is required and compensated.

Cohere

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated. In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

$20k - $40k

Mistral AI

Mistral AI is seeking passionate and skilled backend software engineers to join our new team in NYC. As a Backend Engineer, you will contribute to the development of core systems powering our AI platform, including AI Studio, Le Chat, and Mistral Code. Your work will shape how millions of users and developers interact with our AI platform at scale, focusing on building reliable, high-performance backend systems and APIs. This role directly impacts the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff levels who are eager to learn, collaborate, and ship impactful products.

Replit

The Anti-Abuse team at Replit is responsible for defending the platform from exploitation by detecting and shutting down various forms of abuse, including phishing, cryptomining, and LLM token farming. This role involves building advanced detection systems, heuristics, and automated responses to stay ahead of constantly adapting attackers. A unique aspect of this position is the AI-native nature of Replit's platform, offering hands-on experience in applying AI to security problems, such as building guardrails for AI-generated code, detecting prompt injection attacks, and using LLMs defensively. You will own problems end-to-end, from identifying abuse patterns to shipping scalable solutions.

Replit

As an Enterprise/Strategic Field Engineer, you will be the technical expert for Replit's largest and most strategic accounts. This hybrid role involves high-impact pre-sales activities, such as closing complex technical evaluations, and post-sales responsibilities, including driving adoption, expansion, and retention. You will own the complete technical relationship, from initial architecture discussions through multi-year growth, ensuring customers fully leverage Replit and become Replit-powered organizations. You will collaborate closely with Account Executives and Account Managers in a high-accountability Pod structure, acting as a proactive, strategic technical leader to anticipate and resolve issues, champion new use cases, and significantly influence annual recurring revenue.

Cartesia is seeking an Enterprise Engineer to help build real-time multimodal intelligence by delivering agentic voice AI solutions to customers. This role involves architecting and building enterprise-grade systems, owning the design and delivery of platform capabilities shaped by customer needs, and transforming recurring patterns from deployments into scalable platform primitives. The ideal candidate will define and improve reliability, security, and operational maturity across the company's enterprise offerings, playing a key role in scaling Cartesia's solutions in demanding enterprise environments.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. As a member of the Data Team, you will ensure the data used to train our models meets high standards for quality, reliability, and impact. You will work closely with world-class researchers on pre-training teams to translate abstract notions of "good data" into measurable standards for large-scale data campaigns. This role requires a blend of strong engineering fundamentals and a deep curiosity about data quality's influence on model performance.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. As a member of the Data Team, you will ensure the data used to train and evaluate our models meets high standards for quality, reliability, and impact. You will work closely with world-class researchers on post-training teams to translate abstract notions of "good data" into concrete, measurable standards that scale across large data campaigns. This role requires engineers who combine strong engineering fundamentals with a deep curiosity about data quality and its impact on model behavior.

Cohere

Cohere is seeking a Member of Technical Staff, Applied ML to work directly with enterprise customers on challenging problems that push Large Language Models (LLMs) to their limits. In this role, you will rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems. You will train and customize frontier models, leveraging Cohere's full stack including CPT, post-training, retrieval and agent integrations, model evaluations, and state-of-the-art modeling techniques. Your work will directly influence the capabilities of Cohere's foundation models, as techniques, datasets, evaluations, and insights developed for customers will shape the next generation of models. This role offers an opportunity to operate with early-startup level ownership within a frontier-model company, combining the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab, and wearing multiple hats to define Applied ML at Cohere.