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Strong employer brand, hybrid/remote option, and mid-level ML role increase applicant competition.
Requires specialized Agentic AI, cloud, and enterprise integration expertise, limiting cross-industry transferability.
Explicit 5-8 years, mandatory GenAI experience and many technical requirements make filtering stringent.
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Lead design, development, and enhancement of scalable, secure agentic AI platforms and workflows focusing on enterprise-ready solutions.
Build, integrate, and orchestrate complex agentic systems including custom connectors, APIs, and multi-agent workflows on cloud platforms (preferably GCP).
Drive agile POCs, platform optimization, monitoring, and troubleshooting working closely with interdisciplinary teams to deliver production-ready AI/ML solutions.
5-8 years professional experience in software engineering/platform development with emphasis on scalable resilient systems.
At least 1-2 years hands-on experience in Generative AI and Agentic AI technologies/frameworks (e.g., LangChain, LlamaIndex).
Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related technical field.
Expertise in programming (Python/Java/Go), API design/testing (RESTful, GraphQL, gRPC), custom connector development, cloud platforms (preferably GCP), and observability tools.
Strong technical leadership in agentic AI/ML systems design and integration for enterprise scale environments.
Experienced operating in fast-paced, cross-functional teams delivering complex AI/agentic workflows with a hands-on engineering approach.
Proficient with cloud AI/ML ecosystems, advanced orchestration, and implementing secure, scalable agentic platform solutions.