Lead - AI/ML Engineer (Generative AI Agent Systems)
Pune, MH, India
INR 3700K-5000K (estimate) Senior-level Contract Full Time
Tasks
- Advise on model version pinning
- Build agent frameworks with Vertex AI Agent Development Kit
- Build shadow mode evaluation harness
- Create input context data models
- Create safety critical misclassification test suites
- Define canonical event envelopes
- Define precision recall thresholds
- Define tool function calling
- Design AI agent architectures
- Design distributed systems patterns
- Develop prompt engineering strategies
- Ensure idempotency strategies
- Establish delivery playbooks
- Implement human in the loop exception handling
- Lead generative AI initiatives
- Monitor model drift continuously
- Oversee proof of concept delivery
- Serve as subject matter expert
- Set graduated autonomy criteria
- Translate business requirements into technical blueprints
- Validate agent performance on live production data
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent Development Kit | Agent Development Kit | Agent Engine | Autonomous Agents | Cloud platform | Distributed Systems | Drift monitoring | Event Driven | Event-driven architecture | Function Calling | Gemini | Generative AI | Go | Google Cloud | Google Cloud Platform | Human-in-the-loop | IAM | Idempotency | LLM Reasoning | Language Models | Large Language Models | Model Drift | Model Governance | Model drift monitoring | Prompt engineering | Proof of Concept | Pub/Sub | Service Controls | Shadow mode | Shadow mode evaluation | The Loop | VPC Service Controls | Vector Search | Vertex AI | Vertex AI Agent Development Kit | Vertex AI Agent Engine
Education
N/A
Roles
AI | AI Architect | AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal AI Engineer
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