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Design and deploy production-ready AI systems, including LLM apps, RAG pipelines, and voice AI, for clients across healthcare, ecommerce, travel, and other sectors.
Leads the architecture and evolution of OpenAI’s enterprise identity stack (SSO, SCIM, tenant architecture) to ensure secure, scalable, and high-performance identity systems for global enterprise customers, while driving cross-team alignment and security best practices.
Designs data-intensive tools for engineers and researchers to explore system behavior, run experiments, and make informed decisions at scale.
Full-stack developer building and maintaining web apps with Angular/React front-end and PHP (Laravel) or Python (FastAPI) back-end, using AI tools like Claude Code to write and test code.
Designs intuitive billing and payment experiences for OpenAI’s AI products, shaping how users pay for usage-based and agentic AI workflows while collaborating with engineering and finance teams.
The Forward Deployed Engineer (FDE) is a hands-on AI professional who combines strong technical expertise with consulting and business partnering skills. Embedded within functions such as Operations, Finance, Sales,…
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
About the role Frontier AI must benefit all of humanity. To make that real, the OpenAI Foundation will need more than capital: it will need new products, workflows, tools, and deployment models that help philanthropy…
Own and streamline audits for OpenAI’s AI systems by designing reusable controls, automating evidence checks with Codex, and partnering with engineers to embed security and compliance into product infrastructure.
Designs and builds autonomous AI agents with multi-step reasoning using LLMs (e.g., AutoGen, Microsoft Agent Framework) while owning microservices development, testing, and deployment in containerized environments.
Build and deploy autonomous AI agents using LLMs and agentic frameworks (AutoGen) while developing scalable Python microservices with FastAPI and Kubernetes.
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Design and ship cloud-native AI solutions (RAG, agents, LLM integrations) in Python, owning architecture and client delivery for global enterprises.
About the Team OpenAI’s Compute Strategy team is responsible for securing and scaling the core resources that power our research and products. We partner across engineering, finance, legal, and operations to identify,…
Builds and maintains data pipelines and models for a compensation intelligence platform using dbt, Airflow, and cloud data warehouses to power real-time pay decisions for enterprise customers.
Design and optimize FPGA-based host and network IO subsystems for Cerebras' AI supercomputers, including RoCE v2, switching fabric, and proprietary WSE interfaces.
Builds and maintains cloud (AWS) and on-prem infrastructure, including Kubernetes clusters, CI/CD pipelines, observability, networking, and automation to ensure AI safety platform reliability, security, and scalability.
Мы ищем инженера, который поможет создать и развивать мультиагентную систему – продукт, где несколько специализированных ИИ-агентов вместе решают сложные задачи. Ваша работа позволит превратить возможности больших…
Build and run an enterprise AI platform integrating multiple LLM providers, deploy autonomous agents for business workflows, and implement RAG systems with safety and governance controls.
Own and scale the reliability, performance, and cost of ManyChat's AI infrastructure, including LLM inference services and AI Gateway, while shaping standards for the company's AI platform.
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