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About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied…
Build Python backend services and AI automation workflows for an accounting client, using FastAPI/Flask, LLMs, and data-processing tools to integrate AI into daily operations.
Designs and maintains multi-cloud landing zones, guardrails, and Kubernetes governance for a healthcare company, automating deployments with Terraform, Python, and CI/CD while ensuring security and compliance.
Design and build cloud-based data pipelines and integrations to feed a Knowledge Graph platform using Microsoft Fabric or equivalent, with C#/.NET or Python and PySpark.
Senior DevOps/SRE engineer building and scaling AWS-based IaC (Terraform, ECS/EKS) and CI/CD pipelines in Azure DevOps, while ensuring observability, security, and cost-efficiency for AI model deployments and data workloads.
Build backend infrastructure connecting LLMs and AI agents to real-time energy data via Python microservices on GCP, ensuring 24/7 reliability and scalability.
Build AI-native backend systems in Python that connect LLMs and agents to real energy data, deploying microservices on GCP and integrating APIs for 24/7 production use.
Builds and scales a full-stack platform that orchestrates multiple AI models (LLMs, image, video, voice) into end-to-end content-generation workflows using Node.js, React, AWS serverless, and databases.
Build and maintain Jeeves’s global fintech backend—processing payments, cards, and spend management—while integrating AI features into production systems using Go, Python, or Node.js.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s cloud and on-prem environments, using Data Factory, Databricks, and SQL.
Build and own critical React-based frontend components for Scale’s AI platform, integrating with Node.js/Python backends and distributed data pipelines to power large-scale AI model training and evaluation.
Senior Full Stack developer building cloud-native apps with Next.js, NestJS, Python and AWS, integrating generative AI into enterprise solutions and leading technical architecture.
Senior Full Stack Engineer building AI-driven applications with LLMs, LangChain/LangGraph, React, and Python; designs scalable systems integrating models, APIs, and modern UX.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s multi-cloud and on-premises environments using Azure Data Factory, Databricks, and SQL.
Build and maintain full-stack banking applications using React for the frontend and Java for backend services, designing REST APIs and integrating systems end-to-end.
Build and maintain reliable data pipelines and a Lakehouse architecture on Databricks to feed analytics, models, and APIs, while integrating AI/ML solutions and mentoring peers.
Build and ship production-grade AI-powered applications end-to-end, integrating LLM agents, RAG pipelines, and full-stack services to deliver real business impact.
Freelance role building interactive web apps and Python tools for AI-powered applications using JavaScript/TypeScript, React/Next.js or Vue, and Python/Node backends with PostgreSQL.
Build and maintain a remote rehab platform for cardiac/pulmonary patients, using full-stack web dev and AI workflows to improve patient and clinician experience.
Builds and maintains AI-powered customer-interaction systems using Node.js, Python, and Go, deployed on microservices and AWS.
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