Python Jobs
1051 open roles mentioning Python
Technical Support Engineer (L2)
Runpod
Runpod is seeking a Technical Support Analyst (L2) to provide advanced technical assistance and resolve complex customer issues. This role is crucial for supporting customers on the AI Developer Cloud platform, which is used by over a million developers for AI experimentation, training, fine-tuning, and deployment. The ideal candidate thrives in a dynamic, remote-first environment and is passionate about delivering exceptional customer service. This position requires weekend availability as per business needs.
$70k - $93k
Technical Support Engineer (L2)
Runpod
Runpod is seeking a Technical Support Analyst (L2) to provide advanced technical assistance and resolve complex customer issues. This role is crucial for supporting customers on the Runpod AI Developer Cloud platform, which is used by over a million developers for AI experimentation, training, fine-tuning, and deployment. The ideal candidate thrives in a dynamic, remote-first environment and is passionate about delivering exceptional customer service. This position requires availability on weekends and the candidate must be located in Ireland, the United Kingdom, Spain, or Poland.
€70k - €83k
Support engineer (UK)
Writer
WRITER is seeking a Senior Support Engineer to help enterprise customers succeed with their AI platform. This role involves acting as a leading voice for the support function, handling complex customer issues, and collaborating with various internal teams. The ideal candidate will leverage an automation-first mindset and utilize WRITER's AI tools to solve problems efficiently and scale support operations.
Support engineer
Writer
WRITER is seeking a Senior Support Engineer to help their enterprise customers succeed with their AI platform. In this role, you will be a key voice in the support engineering function, tackling complex customer issues and driving value across their businesses. You will collaborate with various internal teams, including Customer Success, Product, and Engineering, to ensure excellent customer experiences. An automation-first mindset is crucial, as you will leverage WRITER's AI tools to scale support operations and solve problems efficiently.
AI deployment engineer (West)
Writer
As a deployment engineer at WRITER, you will be instrumental in expanding human capacity through superintelligence. This role involves partnering directly with leading enterprise customers to understand their unique business challenges and architect AI-powered solutions using our platform and enterprise-grade LLMs. You will transform complex needs into tangible, high-impact applications, driving business results and shaping the future of work for major companies. This is a critical role that directly impacts customer success and product evolution, contributing significantly to WRITER's mission.
AI deployment engineer (UK)
Writer
WRITER is seeking a Deployment Engineer to join their team and help expand human capacity through superintelligence. In this role, you will partner directly with leading enterprise customers to understand their unique business challenges and architect AI-powered solutions using WRITER's platform and enterprise-grade LLMs. You will transform complex needs into tangible, high-impact applications, driving business results and shaping the future of work for major companies. This is a critical role that directly impacts customer success and product evolution, contributing significantly to WRITER's mission.
AI deployment engineer (East)
Writer
As a deployment engineer at WRITER, you will be instrumental in expanding human capacity through superintelligence. This role involves partnering directly with leading enterprise customers to understand their unique business challenges and architect AI-powered solutions using WRITER's platform and enterprise-grade LLMs. You will transform complex needs into high-impact applications, driving tangible business results and shaping the future of work for major companies. This is a critical role that directly impacts customer success and product evolution, contributing significantly to WRITER's mission.
AI deployment engineer (Central)
Writer
As a deployment engineer at WRITER, you will be instrumental in expanding human capacity through superintelligence. This role involves partnering directly with leading enterprise customers to understand their unique business challenges and architect AI-powered solutions using WRITER's platform and enterprise-grade LLMs. You will transform complex needs into high-impact applications, driving tangible business results and shaping the future of work for major companies. This is a critical position that directly influences customer success and product evolution, contributing significantly to WRITER's mission.
Endpoint Engineer, IT
thinkingmachines
Thinking Machines Lab is seeking an Endpoint Engineer to join their IT team. This role will focus on building secure infrastructure and efficient processes for an all-Mac environment, managing the endpoint fleet as a distributed platform with production-engineering practices. The team utilizes version-controlled workflows for endpoint configurations, security policies, scripts, and software deployments, incorporating testing, review, staged rollouts, and rollback capabilities. The Endpoint Engineer will collaborate closely with IT, Security, and Identity teams to ensure a secure and reliable employee computing experience.
$200k - $325k
Senior Production Engineer, Managed Cloud
crusoe
Crusoe is seeking a Senior Production Engineer to join their Managed Cloud team. This role is crucial for ensuring the reliability and scalability of Crusoe's AI-optimized cloud platform, delivering a seamless cloud experience at scale. The engineer will be responsible for building and delivering highly available, performant, and cost-efficient AI infrastructure to support compute-intensive, latency-sensitive workloads for customers.
$170k - $205k
Senior Solutions Architect
Fal
fal is building the generative media ecosystem for the next generation of AI products, providing the infrastructure, tools, and model access needed to scale from idea to production. The company offers a unified platform for high-performance inference, orchestration, and observability, enabling new categories of AI-native products. As generative media reshapes industries, fal is becoming the foundation for ambitious teams. fal – Features & Labels, Inc. is seeking a Senior Solutions Architect to join their San Francisco, CA office. This role involves engaging with clients to understand their technical needs, recommending appropriate models and services, and preparing technical presentations. The architect will collaborate with internal teams to tailor solutions, gather client insights for product development, and act as a lead technical advisor for enterprise customers and AI model providers, translating business requirements into scalable solution architectures on the fal.ai platform. A significant aspect of the role includes cultivating relationships with Chinese AI model providers and technology companies, acting as the primary technical contact and representing fal.ai at industry events, including those in Greater China.
$25k - $35k
Software Engineer, Storage
Glean
Glean is seeking a Backend/Infrastructure Engineer to build and evolve the Storage layer that powers a highly available, performant, secure, and cost-effective suite of storage options for all data at Glean. You will own the storage systems that handle Glean’s most sensitive data, directly enabling organizations at scale to discover and act on their critical knowledge. Your work will support millions of searches, chat interactions, and agent workflows, delivering robust uptime guarantees, autoscaling, and reliable alerting/monitoring across multiple cloud providers. As part of the Storage team, you will be responsible for a critical piece of Glean’s infrastructure, working closely with several other teams to support their workloads. You will also work across the stack to abstract cloud differences, reduce human intervention through self-healing systems, and drive real business impact by enabling Glean’s ever-growing scale.
$140k - $265k
Engineering Manager, Agent Product
decagon
As an Engineering Manager on the Agent Product team, you will lead a group of engineers building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You will work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents. Managers are expected to operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. This role is for someone who enjoys mentoring engineers, partnering closely with customers and diving deep into complex system challenges to build elegant solutions that scale to millions of users.
$280k - $430k
Member of Engineering (Data & Analytics)
poolside
Poolside is building a world where AI powers economically valuable work and scientific progress, aiming to accelerate AGI development by enhancing the developer experience with agentic systems, coding assistants, and frontier models. This role is part of the Model Factory team, responsible for building and maintaining the data and analytics systems that underpin model development, such as agent trajectory stores and experiment configuration registries. The work involves close collaboration with researchers to understand their needs and improve data and analytics, directly contributing to faster model development cycles. This position offers the opportunity to own foundational systems, build at scale, and work on greenfield projects as well as extending existing systems to meet demanding performance and reliability requirements.
Software Engineer, Data Foundations
Glean
Glean is seeking a Software Engineer to join its Data Foundations team. This team is responsible for the entire data ingestion and management layer that powers Glean's Search, AI Assistant, and Agent products. The work directly impacts the quality, freshness, and trustworthiness of the knowledge users interact with daily. You will contribute to building and scaling connectors to various SaaS and on-prem systems, handling complex data synchronization, and transforming raw enterprise content into structured representations optimized for search and LLM reasoning. This role involves designing data schemas, enrichment pipelines, and integrating AI product capabilities to automate tasks and enhance data utilization.
$180k - $300k
Member of Technical Staff - Research Software Engineer - Safety Evaluations Infrastructure
Reflection ai
Reflection is seeking a Research Software Engineer for its Safety team to design, build, and own the infrastructure for sensitive model evaluations, including those in CBRN, child safety, and dangerous-capability domains. This role is critical for informing model release decisions, requiring systems that are secure, isolated, reproducible, and trustworthy. It's a deeply technical position at the intersection of platform engineering, security, and safety research, involving close collaboration with domain experts, legal, and safety researchers to develop robust, scalable infrastructure. This includes creating sandboxed execution environments, controlled data pipelines for sensitive material, access controls, audit logging, and tooling for researchers to safely measure model capabilities in high-consequence areas.
Corporate Security Engineer
Legora
Legora is seeking a Corporate Security Engineer to own the security of the company's internal environment, including identities, devices, SaaS, and AI tools. This role is for a builder who treats security controls and automations as software they own. The ideal candidate will have an AI-first mindset, leveraging agents and LLMs to improve efficiency, and a deep understanding of modern attack surfaces like identity, SaaS, and AI tools. You will be responsible for securing Legora's AI-native workspace, ensuring the trust of legal professionals who rely on the platform for sensitive work.
Applied AI Software Engineer, GTM Growth Engineering
OpenAI
We are seeking an Applied AI Engineer to develop production systems that enhance AI-powered go-to-market workflows. This role involves connecting agent behavior, customer and operator feedback, evaluation, and business outcomes to create more effective, reliable, and responsive systems. You will take end-to-end ownership of the agent improvement loop, from understanding production behavior and identifying failure modes to improving system decisions and validating impact. This is a deeply technical, cross-functional position where you will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to translate real-world signals into safer, more effective agent behavior and measurable business improvements.
Early Access Deployment Engineer
OpenAI
We are seeking an Early Access Deployment Engineer to lead technical engagements with customers using our frontier capabilities. You will operate at the early stages of development, where capabilities, tooling, and processes are evolving. In this hands-on role, you will act as a technical partner to customers and our research/product teams, identifying high-value use cases, prototyping solutions, designing evaluations, and troubleshooting issues. You will manage multiple customer engagements, helping them navigate ambiguity and translating their experiences into actionable feedback for Research and Product. This role also involves owning the end-to-end execution of early access programs, from onboarding and live experimentation to synthesizing findings and informing launch decisions. Success means translating frontier capabilities into real-world customer value and high-quality research signals, developing reusable technical approaches, and improving how OpenAI learns from customers.
Tech Lead Manager, Inference
lumalabs
Luma is seeking a Tech Lead Manager for its Inference team to own the entire inference serving stack, encompassing routing, scheduling, and fleet-wide orchestration across thousands of GPUs, multiple clouds, and hardware vendors. This is a hands-on role where at least half of your time will be dedicated to architecting and building core platform components, making critical design decisions, and debugging complex incidents. You will also be responsible for leading, growing, and developing the inference engineering team, including hiring, coaching, and managing on-call rotations. The role involves setting the technical roadmap for serving infrastructure, owning platform SLOs and economics, and partnering with research to deploy new architectures and integrate serving into online RL and evaluation loops. The ideal candidate has extensive experience operating large-scale inference fleets and a genuine desire to remain hands-on in building and improving the serving stack.
$30k - $60k