We are seeking a Senior AI Engineer to join the Tango project, an ambitious initiative to build an enterprise-grade Agent Development Platform (ADP). This role is central to our "Wave 1" objective: establishing a production-ready foundation that decouples core infrastructure from individual agent business logic. You will be responsible for building high-performance AI agents and the underlying SDK that powers them.
Key Responsibilities
Core AI Engineering & Delivery
- Agent Development: Design, build, and test production-grade agents (e.g., Lease Abstraction, CAM Reconciliation) using the Prodigy framework as a baseline.
- SDK & Gateway Engineering:
Develop a lightweight Python SDK to interface between agents and the platform Control Plane, abstracting complex LLM routing to providers like AWS Bedrock [this line is cut off in the screenshot]
- Knowledge Engineering: Build and configure RAG (Retrieval-Augmented Generation) knowledge bases and GraphDB mappings to provide agents with secure, domain-specific context.
- Safety & Governance: Implement "Human-in-the-Loop" (HITL) escalation interfaces, confidence thresholds, and strict egress controls to prevent data exfiltration. Ensure all AI solutions comply with security, data privacy, and responsible-AI standards.
- Optimization: Configure "Agent Overrides" and token optimization strategies (e.g., "balanced" vs. "perfectionist" consumption) via configurable workflows.
- End-to-End Development: Lead the design, development, and deployment of advanced AI systems across Data Science and AI Engineering domains
📌 Lead AI Engineer (Pune)
🏢 Haparz
📍 Pune
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