Overview

As an AI Engineer specializing in Agentic AI enablement, you will design, prototype, iterate, and productionize reusable agent capabilities that run on the enterprise AI Backbone across cloud and edge environments. You will build and harden agent behaviors (tool-use, policy constraints, memory/RAG patterns where applicable), create evaluation and regression test harnesses, and integrate agents with enterprise systems using MCP-style connectors/clients. You serve as the technical complement to the AI Solutions Lead by translating domain workflows into reliable agent components, while partnering closely with platform teams to deploy using standardized CI/CD, security, and observability patterns.

Responsibilities

1) Agent Engineering & Productionization (40%)
- Prototype, iterate, and productionize domain-aligned agent modules (plans, tool-use, task execution flows) that operate reliably within defined workflows. (Execute)
- Build and maintain versioned agent assets (prompts, policies, tool schemas, configs) with transparent change logs and reproducibility. (Execute)




- Optimize agent performance for latency and token efficiency within defined constraints (especially for edge-targeted scenarios when applicable). (Execute)

2) Evaluation, Testing & Quality Signals (25%)
- Implement an AI system testing harness for assigned agents: regression suites, golden test sets (where applicable), and comparison reports for prompt/model variants. (Execute)
- Maintain evaluation metadata (test versioning, metrics, correlation IDs) to support traceability and repeatability. (Execute)
- Contribute to safety/quality checks (hallucination, toxicity, policy compliance) as part of evaluation workflows defined by the program. (Execute/Consult)

3) Integration with Tools and MCPs (20%)
- Implement or extend MCP clients/connectors for internal data products and approved enterprise apps using standardized interfaces, scopes, and audit patterns. (Execute)
- Validate integration behaviour

📌 Senior Development Manager (Hyderabad)
🏢 PepsiCo
📍 Hyderabad