Senior AI/ML Engineer - Python, Agentic AI, Cloud
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy agentic AI workflows using Semantic Kernel and multi-agent coordination with a focus on safe tool execution.
Build and optimize RAG pipelines with vector stores and ship scalable cloud-native services using C#, Typescript, Docker/Kubernetes, and CI/CD.
Implement Responsible AI practices including prompt injection defenses, content filtering, PII/PHI redaction, and manage LLM evaluations for accuracy and safety.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field.
8+ years of experience with proficiency in C#, Java, Python, or Go.
Experience with Semantic Kernel agentic workflows, RAG pipelines, vector stores, and cloud-native deployments (Azure, AWS, GCP).
Work Experience Required: 8+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building and scaling AI-driven services within enterprise cloud environments with observability and cost optimization.
Skilled in integration with enterprise systems via APIs, message buses, and event-driven architectures including design of function/tool schemas.
Capable of leading AI ethics and Responsible AI practices including secure AI workflows and human-in-the-loop governance.