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Popular mid-level ML role in metro hybrid setting with moderate brand and GenAI specialization.
Core ML, cloud, and integration skills transfer across industries despite CPG domain context.
Explicit 5-7 years requirement plus mandatory GenAI, cloud, and integration skills.
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Lead the technical enablement, integration, and enhancement of advanced agentic AI platforms focusing on performance, scalability, and security.
Design, develop, and implement custom connectors, APIs, and complex agent workflows to support enterprise-scale AI solutions.
Manage platform optimization, monitoring, troubleshooting, and lifecycle to ensure operational reliability and compliance.
Bachelor's or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related field.
5-7 years in software engineering or platform development with 1-2 years specifically in Generative AI and Agentic AI technologies (e.g., LangChain, LlamaIndex).
Expertise in at least one programming language (Python, Java, Go), API design/testing (RESTful, GraphQL, gRPC), and building integrations with enterprise applications (Salesforce, SAP).
Experience with cloud platforms (preferably Google Cloud Platform) and AI/ML services; familiarity with monitoring/observability tools.
Experienced engineer with deep knowledge in Generative and Agentic AI platforms and frameworks, skilled at integrating complex systems.
Comfortable operating in fast-paced, collaborative, cross-functional environments, working closely with data scientists, ML engineers, and automation experts.
Strong analytical skills focused on building scalable, secure AI workflows with practical experience in enterprise AI/ML lifecycle and platform management.