Python Engineer 2c Agentic Ai Jobs

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 headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations. This position is hands-on and engineering-driven. You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. We blend engineering and research seamlessly. Everyone contributes to both, depending on organizational needs. We provide access to world class compute resources, data, and talent to ensure you can do your best work. As a Member of Technical Staff, you will: Design and write high-performing and scalable software for training models. Develop new tools to support and accelerate research and LLM training. Coordinate with other engineering teams

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 headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EU. As a Member of Technical Staff, Pre-Training D

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. As a member of Ramp's Risk Strategy & Operations team, you will leverage data to develop and optimize credit strategies. Credit is one of Ramp's most consequential products. Every policy change affects how customers can grow their usage, and how responsibly Ramp scales up while managing risk. Credit Risk Strategy owns these tradeoffs end to end. In this role, you will own or help build strategy across credit risk areas like credit limits, payment speed, and collections. You'll take ambiguous problems, get to the data, prototype the solution, and push the change with Product, Engineering, Data Science, Risk Operations, Finance, Customer Experience, and Compliance. AI fluency is required. We use AI as a core pillar of our risk management stack, and you will be prototyping and managing related Agents and tools. You should already be using tools like Claude Code, Codex, or similar AI tools to write code, explore data, prototype apps, automate workflows, and check your own work. You do not need to be a software engineer, but you do need to use AI to

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. At Flexport, we are building the unified Supply Chain Operating System for global trade. While traditional consulting firms deliver slide decks and walk away, Flexport’s Forward Deployed Consultants (FDCs) embed directly on the operational frontline alongside enterprise clients to architect, build, and deploy real-time supply chain solutions. Operating alongside a Forward Deployed Engineer (FDE), you are a senior technical subject matter expert sitting at the intersection of Operations Research, data science, supply chain strategy, and executive client delivery. You will embed with Fortune 500 retailers, high-tech manufacturers, and global brand leadership to audit complex logistics networks, identify multi-million-dollar cost leaks, and build executable optimization models that transform client supply chains. You will serve as the solution design lead across a set of Flexport capabilities: Order, booking, and shipment management Transportation planning, consolidation, and exception management Data integrations, workflow automation, and operational analytics You won't just analyze data in a vacuum: you will write Python scripts, design supply chain algorithms, whit

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity New Relicのソリューションをお客様にお届けするSolutions Consultantを募集しています。テクニカルセールスに熱意を持つコンサルタントやプリセールスエンジニア、あるいはデベロッパーだけどお客様と話す機会が多いという方は大歓迎です。New Relicには技術的に優秀なエンジニアを優秀なSolutions Consultant に転向させた実績がありますので、セールス寄りの経験が浅く、このポジションへのフィットに心配な方でもご安心ください。オンボードのためのトレーニングも揃っています。 Solutions Consultantの主な業務は、New Relicの営業、Technial Account Manager、 Technical Support Engineerやマーケティングチームなどと共に、クラス最高のNew Relicソリューションをお客様のビジネスに効果的に活用頂くためのご提案や、素晴らしい機能をきちんと活用して頂くための技術的な支援することです。 当社のSolutions Consultantとして、さまざまな業界やシステムに対する技術的なサポートをすることで、お客様のビジネスニーズや市場動向を把握することができます。当社の持つSaaSソリューションの販売に関する豊富な知見や、セールスサイクルの全フェーズを理解するとともに、現場のセールスをサポートするSolutions Consultantを求めています。他のSolutions Consultantや製品チームと協力して、お客様のITインフラストラクチャやソフトウェアアーキテクチャを理解すると共に、お客様のビジネスニーズを解決するソリューションを作成し、New Relicのソリューションがリアルタイムでこうしたニーズにどのように対応しているかを確認していきます。 What you'll do お客様にNew Relicソリューションの価値が伝わるよう、New Relicコンサルティングの知識を提供する New Relicのソリューション、お客様の要件に関連した価値を明確に説明したカスタマープレゼンテーション作成や、説得力のある顧客向け概念実証デモを構築し提示する New Relicソリューションを広めるために、イベント登壇や技術資料の作成、トレーニングなどを提供する New RelicのSales、Solution Consultant、Technical Account Managerと商談機会について協働する 責任感が強く、大胆で、本格的であり、熱意があり、首尾一貫している、など企業としてのコアバリューの順守は不可欠です。 This role requires プロジェクトまたは営業活動などで顧客との対応経験があり、 Pre-sales Engineer、技術系Consultant/Architect、システム運用管理者、Software Developerなどで3年以上の経験があること 最新技術に興味があり、自ら手を動かしてキャッチアップしている 運用監視やシステム管理設計などのアプリケーション/インフラ運用に関わる知識や経験、興味を持っている AWS、Azure、Google Cloudなどのクラウドプラットフォームの経験 Slackやメールなどで海外メンバーと文章でやり取りできるレベルの英語の読み書き Bonus points if you have Java、PHP、.NET、Rub

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Team Frontier models are fungible. Any team can rent the same intelligence we can, and the model we build on today will be replaced within a month. What is not fungible is the infrastructure that decides whether an autonomous system's output can be trusted — evaluation, verification, and the discipline to gate on evidence instead of impressions. Nuro has spent a decade building exactly that discipline for a robot that drives on public roads, and this team turns it inward: we build the platform that lets AI agents operate autonomously inside Nuro's own engineering organization, under the same standard of proof we apply to the vehicle. Our mandate is to amplify the output of every engineer and researcher at Nuro by 100x. Not a better IDE, not a faster build — a change in what a single person can attempt. That number is a target, not a claim, and reaching it depends on one thing above all: autonomous work has to be trustworthy enough to run unattended. So our central ambition is to build the most rigorous closed-loop evaluation system for AI work anywhere. Leverage follows from trust, and trust follows from measurement. We operate as a startup inside a company that has already shipped a hard thing. Small team, no established playbook, direct access to compute and to the systems we are automating. You will work directly with engineering leadership and the CEO, and the deci

MongoDB is seeking an Associate on the Pricing & Monetization team to own decisions on how we deliver products and drive sustainable revenue growth. In this role, you will sit at the intersection of product strategy, engineering, analytics, finance, and business operations, working closely with internal stakeholders to identify and translate ambiguous business problems into structured product recommendations. This position requires a driven self-starter with proven experience in building data-driven business cases, communicating complex recommendations to leadership, and operating cross-functionally to solve business problems. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment. You are interested in both diving deep into product data and also extracting executive-level insights to drive strategic decision-making. This role is a hybrid / in-office role, with approximately three days per week in our New York City Office. Responsibilities Lead pricing and packaging strategies for new product launches and for adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs Own complex financial and operational models (e.g. revenue, margin, customer cohorting, usage models) to quantify the impact of pricing and monetization decisions Partner with Finance, Engineer, Product Management, and GTM to develop and execute cohesive strategies that align with customer needs, product roadmap, and financial objectives Communicate strategic insights and recommendations to leadership Conduct competitive benchmarking to understand market dynamics and R&D investment opportunities Drive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and performance of product changes Collaborate with Engineering to understand infrastructure costs, technical dependencies, and architectu

MongoDB is seeking an Associate on the Pricing & Monetization team to own decisions on how we deliver products and drive sustainable revenue growth. In this role, you will sit at the intersection of product strategy, engineering, analytics, finance, and business operations, working closely with internal stakeholders to identify and translate ambiguous business problems into structured product recommendations. This position requires a driven self-starter with proven experience in building data-driven business cases, communicating complex recommendations to leadership, and operating cross-functionally to solve business problems. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment. You are interested in both diving deep into product data and also extracting executive-level insights to drive strategic decision-making. This role can be based out of our Toronto office or remotely in the Toronto region. Responsibilities Lead pricing and packaging strategies for new product launches and for adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs Own complex financial and operational models (e.g. revenue, margin, customer cohorting, usage models) to quantify the impact of pricing and monetization decisions Partner with Finance, Engineer, Product Management, and GTM to develop and execute cohesive strategies that align with customer needs, product roadmap, and financial objectives Communicate strategic insights and recommendations to leadership Conduct competitive benchmarking to understand market dynamics and R&D investment opportunities Drive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and performance of product changes Collaborate with Engineering to understand infrastructure costs, technical dependencies, and architecture decisions, translatin

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. Position Overview: The Staff Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimising costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh. Key Responsibilities: Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimised for production workloads, providing high resilience and operational efficiency. AWS Infrastructure Management: Build, manage, and optimise AWS cloud infrastructure, including EKS, ECS, S3, VPCS, RDS, IAM, and more. I

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. Position Overview: The Staff Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimising costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh. Key Responsibilities: Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimised for production workloads, providing high resilience and operational efficiency. AWS Infrastructure Management: Build, manage, and optimise AWS cloud infrastructure, including EKS, ECS, S3, VPCS, RDS, IAM, and more. I

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, global traffic routing, and resilient cloud infrastructure problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new network topologies, multi-cloud ecosystems, and agentic engineering models. Position Overview: The Staff Software Engineer - Infrastructure will play a foundational role in architecting, evolving, and securing Okta's global core network fabric and multi-cloud platform layers. This position focuses on building highly resilient, edge management in AWS and GCP cloud, executing enterprise-wide cloud migrations (AWS to GCP), enforcing absolute Zero-Trust primitives (mTLS / TLS 1.3), and integrating cutting-edge AI automation layers (Agentic SRE) into our day-to-day operations. As a Staff Engineer on this team, you will act as a key technical anchor in India, working closely with global counterparts to maintain Okta's high-availability SLAs while protecting the platform against active global DDoS attacks. Key Responsibilities: Global Ingress & Routerless Evolution (CFSaaS): Design and engineer Next-Gen traffic

About the Team The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven. About the Role 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. In this role, you will: Develop and publish research on techniques for understanding representations of deep networks. Engineer infrastructure for studying model internals at scale. Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: Are excited about OpenAI’s mission of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter . Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI. Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines. Hold a Ph.D. or have research experience in computer science, machine learning, or a related field. Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area. Possess 2+ years of research engineering experience and proficiency in Python or similar languages. Are deeply curious. About OpenA

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Why We Work at Dun & Bradstreet We are at a transformational moment in our company journey - and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Dun & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose. So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us! The Role: We are looking for an experienced AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization. The ideal candidate will have strong hands on expertise in Python, PySpark, agentic workflow development, and modern GenAI frameworks, with experience building scalable applications using LLMs, retrieval systems, and automation pipelines. You will work closely with data scientists, MLOps engineers, and business stakeholders to build intelligent, production grade systems that power

About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. About the job Goods & Services is looking for a Lead Software Engineer in Test who will deep into the challenging problems, come up with the solutions, and build innovative features which transform customers’ experience and bring efficiency by applying in the software build and delivery process. This is a hybrid position . What you’ll do Work closely with the Test automation engineers and cross functional product owners to translate the acceptance criteria to technical documents to write the automation scripts and integrate it with Test Automation framework and CI/CD pipeline. Leading automation projects and writing the automation scripts for the test cases and interface it with the automation testing framework. Provide the progress status update to Project manager and reporting manager. Ensure you work in align with the given project schedule for you and the team. Ensure all the functional requirements, business process flows are understood, and tested on the test, UAT env in adherence with the Quality assurance process and procedure. What you’ll need: Bachelor’s degree in computer science or related field. 5+ years of experience in software development, technical and team leadership. Prior experience on the Test Automation Framework, Adaptive AI for Test Automa