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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement foundational GenAI workflows and agentic AI components on Google Cloud Platform using Google Enterprise Agent Platform and ADK frameworks.
Write clean, documented code with unit tests, ensuring observability and following responsible AI and security best practices.
Collaborate with senior engineers and teams through design discussions, code reviews, and documentation to continuously learn and improve AI workflows.
Minimum Requirements
2–4 years of experience in software/data engineering or ML development with AI/ML projects and cloud platforms, preferably GCP.
Proficient coding skills in Java and Python.
Experience with GenAI workflows including prompt engineering, embeddings, and RAG pipelines.
Familiarity with GCP services: Google Enterprise Agent Platform, BigQuery, Cloud Storage, and Pub/Sub.
Ideal Candidate Profile
Engineer comfortable working independently on AI components while engaging with senior team members for architectural guidance.
Experienced in building AI workflows integrating agent loops, tool integration, and memory fundamentals within a cloud-native environment.
Able to balance hands-on development with adherence to Responsible AI principles, security policies, and coding standards in a collaborative setting.