• 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.



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