"azure openai service" Jobs
65 open tech roles matching “azure openai service”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AWS, Python, GCP. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 65 results
Join DEFCON AI as a Cloud Systems Engineer to manage AWS, Azure, and Microsoft 365 environments in a fully remote role.
Join Arize AI as a DevSecOps Engineer to embed security in software development across a TypeScript-heavy stack.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI workloads.
Design and develop AI agents and applications to enhance CoreWeave’s internal ecosystem as a Senior Software and AI Engineer.
Join Sierra as a Software Engineer, Infrastructure, to design and maintain core systems for our AI platform in a collaborative environment.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Join Elastic as an AI QA & Evaluation Engineer to validate and test AI infrastructure and solutions in a fully remote environment.
Serve as a trusted technical expert in AI/ML, designing and deploying production-level architectures for Databricks customers.
Join Nas.com as an AI Software Engineer to build innovative AI-powered products in a fast-paced, hybrid work environment.
Lead the deployment of sophisticated AI models and applications at Omada Health, a digital care provider focused on chronic disease management.
Join Fireworks AI as a senior AI Field Engineer to lead technical partnerships and drive AI transformation in enterprise environments.
Lead the design and development of systems powering AI requests at Harvey, collaborating with multiple teams to ensure reliability and efficiency.
Lead a high-performing team to develop and manage the model infrastructure platform at Harvey AI.
Join Horizon3.ai as a Staff Attack Engineer to develop automated attacks for AI/LLM systems in a fully remote environment.
Join Braintrust as a Platform Support Engineer to tackle complex infrastructure challenges for major clients using AWS, Azure, and GCP.