- Experience in GCP projects and Vertex ai is must.
- AI evaluation methods/metrics. ( like Precision, Recall, and F1 score for agent trajectories and defect classification accuracy.)
- Experience with Agentic AI, managing sequential and loop-based workflows. specifically using Google ADK or similar.
- Familiarity LLM Tuning (SFT, COT, ReAct)
- Experience in Data Analysis and process with multi agent architectures.
- Ability to debug and perform Root Cause Analysis (RCA) for issues.
- Ability to deploy agents.
- Familiarity for implementing "Interrupt & Resume" patterns for human expert validation.
- Strong communication and teamwork skills, especially in the context of customer collaboration.
Good-to-Have Skills
- Excellent problem-solving and analytical skills related to AI integration challenges specific to customer needs.
- Experience in A2A, MCP for multi agent interaction.
- CICD pipeline for Multi Agents framework
- Experience integrating LLMs with Knowledge Graphs
- Using a memory bank for agent to agent communication.
Qualifications and Prior Experience
- 4-6+ years of experience in AI development, preferably on Google Cloud Platform.
- Experience on building Agents, using Google ADK.
- Experience in developing and deploying AI Solutions within an agent-based framework/Application
- Experience/Familiarity with Agile development.
Certifications and Trainings: Qualified Machine Learning Engineer.
- Google Skill Boost labs/course Getting started with ADK: https://www.skills.google/catalog_lab/32017 Deployment: https://www.skills.google/catalog_lab/32530 Build and deploy multi agent: https://www.skills.google/course_templates/1445 Tune Gemini Model SFT: https://www.skills.google/catalog_lab/3171
📌 Agentic AI (Bengaluru)
🏢 Cerebra
📍 Bengaluru
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