Azure AI Engineer-Direct Hire
Design, build, and deploy AI models, AI pipelines, and intelligent applications in production environments.
Develop and integrate AI solutions, including Prompt Flows, RAG, APIs, and agent-based workflows.
Collaborate with Data Engineers, Software Engineers, and Product Teams to ensure seamless system integration and data flow.
Monitor, optimize, and maintain AI model performance, scalability, reliability, and observability.
Ensure Responsible AI, security, governance, compliance, and alignment of AI solutions with business objectives and KPIs.
Qualifications:
3–6+ years of experience in AI/ML, software engineering, and cloud-based solution development.
Hands-on experience building and deploying AI/LLM-powered applications using Azure, AWS, or GCP.
Skilled in prompt engineering, RAG implementations, agent-based systems, orchestration frameworks, and Azure AI services.
Strong background in Python, REST APIs, microservices, CI/CD, embeddings, vector search, and cloud security.
Experienced in translating business requirements into practical AI solutions and collaborating with cross-functional teams to deliver measurable outcomes.
Employer questions
- What's your expected monthly basic salary?
- Which of the following types of qualifications do you have?
- How many years' experience do you have as an Artificial Intelligence Engineer?
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