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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy agentic AI workflows integrating Semantic Kernel for multi-agent coordination and safe tool execution.
Implement robust Retrieval-Augmented Generation (RAG) pipelines using vector stores and cloud-native platforms (Azure, AWS, GCP) with containerization and CI/CD pipelines.
Lead integration with enterprise systems via APIs and event-driven architectures while enforcing Responsible AI practices including content filtering and audit logging.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field.
7+ years of experience programming in C#, Java, Python, or Go.
Experience with Docker/Kubernetes, CI/CD, and cloud-native platforms (Azure, AWS, or GCP).
Not explicitly mentioned: notice period or location requirements.
Ideal Candidate Profile
Experienced in building and optimizing scalable AI services in enterprise cloud environments with a focus on latency and cost efficiency.
Strong understanding of RAG pipelines, vector stores, and multi-agent AI workflows using Semantic Kernel.
Proven ability to mentor junior developers and enforce compliance with Responsible AI standards and enterprise policies.