> Markdown version of [/jobs/ext/3736342-azure-openai-engineer](https://www.wearedevelopers.com/jobs/ext/3736342-azure-openai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure OpenAI Engineer - **Company:** OpenKyber LLC - **Location:** Atlanta, GA, United States - **Salary:** $145,600.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Microsoft Azure, Cloud Computing, Information Engineering, DevOps, Programming Tools, Distributed Systems, OpenAI, Tensorflow, Software Engineering, Systems Integration, Google Cloud, Enterprise Software Applications, Pytorch, Large Language Models, Generative AI, Scikit Learn, Machine Learning Operations, Restful APIs, Microservices - **Published:** October 14, 2026 - **Apply:** https://www.careerjet.com/jobad/usa7d4cda44f0a1dbdac86268f4f0cbd1e ## About the Role * Hands-on experience with: AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Generative AI / LLMs (OpenAI, Azure OpenAI, etc.) * Expertise in application architecture and system design * Experience in: Cloud platforms (Azure/AWS/Google Cloud Platform) * REST APIs, microservices, and distributed systems * Knowledge of data engineering, APIs, and system integration AI-Specific Skills: * Understanding of AI pipelines, model deployment, and monitoring * Ability to evaluate and apply AI tools in application development lifecycle Technical Leadership: * Collaborate with product, data, and business teams to translate requirements into solutions * Drive adoption of AI-enabled development tools and frameworks * Provide training to the team for using AI Capabilities Soft Skills: * Strong problem-solving and analytical thinking * Excellent communication and stakeholder management * Leadership experience in guiding cross-functional teams Preferred Qualifications: * Experience implementing AI in enterprise applications * Exposure to DevOps / MLOps practices * Knowledge of Responsible AI and governance principles * Prior experience in a technical lead or architect role