Python Jobs

LiteLLM is seeking a Product Engineer to work directly with the founders on building the next generation of infrastructure for AI applications. This role blends product management and software engineering, involving customer interaction, problem-solving, solution design, and writing production code. You will be responsible for shipping features quickly, owning product areas end-to-end, and contributing to the development of new products. The ideal candidate enjoys tackling problems from conception to production and thrives in a fast-paced environment.

Perplexity is seeking creative, AI-native engineers to join our Enterprise Adoption team. This team is responsible for reshaping how people interact with AI agents within organizations and ensuring that Perplexity's AI tools are a perfect fit for our growing Enterprise business. You will engineer the core systems that make Perplexity Computer an indispensable multiplier for internal teams, from recruiting and go-to-market to finance, legal, support, and operations. Learnings from internal teams will also be applied for enterprise customers, bringing frontier AI working patterns to external organizations.

Applied Intuition is seeking a Perception Autonomy Engineer to develop, integrate, and maintain real-time sensor software solutions for autonomous vehicles across various domains. You will work with a team to enhance capabilities and demonstrate solutions in real-world scenarios on diverse hardware platforms. The role involves designing, developing, and integrating AI/ML sensor algorithms to interface with different platforms, ingest mission information, and support autonomy objectives. This includes fusing information from state-of-the-art sensors like EO, IR, acoustics, radar, and RF to create autonomous sensor controllers.

$10k - $20k

Lambda is seeking an experienced Business Systems Architect to lead and innovate across its enterprise systems landscape. This pivotal role will drive operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms, leveraging process automation tools and middleware solutions. The role requires excellent business acumen, deep technical expertise, and a proactive approach to solving business challenges.

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.

OpenAI

As an Enterprise Applied AI Engineer at OpenAI, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.

OpenAI

As an Applied AI Engineer in the Digital Native segment, you will work with industry-leading technology companies to bring new AI capabilities into the products their customers use every day. You will partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products, requiring strong technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. Success is measured by production systems, sustained adoption, and meaningful customer impact.

OpenAI

The Applied AI Engineering team is responsible for the safe and effective deployment of generative AI applications for developers and enterprises. As an Applied AI Engineer in the Digital Native segment, you will work with industry-leading technology companies to bring new AI capabilities into their products. You'll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products, requiring strong technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection through production launch and scale. Success is measured by production systems, sustained adoption, and meaningful customer impact.

OpenAI

We are seeking a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback.

OpenAI

We are seeking a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback.

OpenAI

We are seeking an Applied AI Engineer specializing in Cyber to join our team. In this customer-facing technical role, you will partner with clients to leverage OpenAI models, APIs, and agentic workflows for real-world cybersecurity challenges. You will work with security leaders and practitioners to identify high-impact use cases and design practical AI-driven solutions for areas like secure code review, vulnerability triage, threat modeling, and incident response. This role requires a blend of executive-level strategic thinking and hands-on technical expertise to guide customers from initial prototypes to robust production deployments, ensuring safe and effective integration of AI into critical security workflows.

thinkingmachines

Thinking Machines Lab is seeking a Software Engineer to own the platform systems that power Tinker, their fine-tuning API. This role involves developing and maintaining critical components such as billing and usage metering, permissions and access control, organization and team management, data export functionalities, and audit logging. You will collaborate closely with product, legal, and other cross-functional teams, ensuring that new features, pricing adjustments, and enterprise deals are seamlessly integrated into the platform. This is an opportunity to grow a rapidly expanding platform and contribute to the Tinker community.

$350k - $475k

We are seeking an AI Research Engineer to join our document understanding team, bridging the gap between applied research and robust engineering. In this role, you will focus on vision-language models, document processing, data curation, synthetic data generation, benchmarking, and model training and fine-tuning. The primary objective is to enhance the accuracy, speed, and cost-effectiveness of our document AI systems in production. This position requires a passion for cutting-edge AI research coupled with a strong drive for practical product impact, involving rapid prototyping, rigorous evaluation, and the transition of promising approaches into production systems.

Glean is building the horizontal AI platform that powers how employees use AI at work, extending beyond Glean to tools like Copilot, Gemini, and ChatGPT. This role focuses on building the context platform and delivering rich, trustworthy experiences across various applications. The team is responsible for the end-to-end platform experience, including standards and tooling for REST APIs, SDKs, client libraries, agent SDKs and integrations, MCP servers, custom context (code, memory), and the supporting infrastructure and documentation. In a fast-paced startup environment, this involves working across multiple layers of the stack, from backend services to developer tools and documentation.

$210k - $300k

Glean is building a modern knowledge assistant personalized to every employee in your organization, making all information within your company accessible, contextual, and fresh. We are looking for a Quality Assurance Engineer to assess the quality of our web application through Manual & Automation testing. You will be responsible for finding and reporting bugs and glitches with the initial level of RCA. You should have a keen eye for detail and excellent communication skills.

Inflection AI

Inflection AI is seeking a Staff Engineer, Agentic to own the platforms, systems, and services that bring conversational AI to life at scale. This role involves collaborating across research, product, and infrastructure teams to enable rapid iteration, high reliability, and secure delivery of novel AI features to millions of users. Your work will directly impact both the pace of product development and the stability of our production systems, focusing on human-centered, emotionally intelligent AI.

$10k - $15k

pika

Pika is seeking a staff or lead-level Research Engineer, Data to architect and scale data engineering systems for their advanced multimodal foundation models. This role is crucial for strengthening research teams by building, optimizing, and owning large-scale data pipelines and ML data curation. The goal is to ensure foundation models have access to high-quality, diverse datasets, enabling millions of creators. If you are passionate about data infrastructure and innovative research-engineering, this is an opportunity to make a significant impact.

thinkingmachines

Thinking Machines Lab is seeking engineers to build the libraries and tools that accelerate research. You will own internal infrastructure, including evaluation libraries, RL training libraries, and experiment tracking platforms, and build systems that compound research velocity over time. This is a collaborative role where you will work directly with researchers to identify bottlenecks and pain points. Success means researchers trust your systems to just work and find them a delight to use.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking engineers to build the libraries and tools that accelerate research. You will own internal infrastructure, including evaluation libraries, RL training libraries, and experiment tracking platforms, to build systems that compound research velocity over time. This is a collaborative role where you will work directly with researchers to identify bottlenecks and pain points. Success means researchers trust your systems to just work and find them a delight to use.

$350k - $475k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Mercor Enterprise provides Fortune 500 companies with infrastructure to capture and translate their best people's expertise into agents. We are a profitable Series C company valued at $10 billion, seeking ambitious and committed individuals to join our team at the forefront of AI advancement. As an Economist on the Marketplace team, you will apply economic theory and rigorous empirical methods to the core decision systems that govern talent and opportunity matching on Mercor. You will analyze and shape marketplace dynamics, including matching efficiency, pricing, incentives, liquidity, and supply/demand balance. Your insights will be translated into mechanisms and metrics that directly impact fill rate, hiring speed, earnings, and revenue, making this a high-impact role at the intersection of economics, data science, and engineering.