Oracle AI Agent Studio Engineer

Location: Gurugram

Experience: 2–4 Years

About the Role

We are looking for Oracle AI Agent Studio Engineers with 2–4 years of experience in Oracle Fusion and demonstrable hands-on experience with Large Language Models (LLMs) or agent tooling.

The role involves building and configuring AI agents natively within Oracle Fusion AI Agent Studio, working alongside functional leads who will own the process design.

As this is an emerging skill area, we are looking for candidates with strong Oracle Fusion fundamentals and genuine hands-on experience building with LLMs, rather than requiring extensive experience specifically in Agent Studio.

Selected candidates will be deployed on an Oracle Fusion engagement for a Quick Service Restaurant (QSR) client in the Middle East, building AI agents across Procurement, Supply Chain, and Finance processes.

This is an offshore role based in Gurugram, working remotely with client teams in the UAE.

Key Responsibilities

- Agent Design & Build

- Configure agents, agent teams, and topics in Oracle Fusion AI Agent Studio based on process designs provided by functional leads.
- Write and refine agent instructions, prompts, and guardrails, and optimize them against evaluation sets.
- Configure retrieval over approved documents and knowledge sources for agents requiring policy or process context.

2. Tools & Integration
- Build the agent tool layer, including Fusion business object and REST API tools, document tools, and integrations exposed through Oracle Integration Cloud (OIC).
- Register and configure external tools, including through Model Context Protocol (MCP), where approved.
- Handle tool errors, timeouts, and fallbacks to ensure predictable agent behaviour.

3. Security & Controls




- Configure agent access and least-privilege tool permissions.
- Maintain the entitlement and autonomy record for each agent.
- Apply human-in-the-loop approval steps for actions involving posting, payments, or changes to master data.

4. Testing & Evaluation
- Build and execute evaluation sets and test scenarios for every change.
- Log defects and refine prompts and tool definitions.
- Treat tool output and retrieved content as data and test agents against prompt-injection scenarios.

5. Deployment & Collaboration
- Work with functional leads to validate agent output against business rules before UAT.
- Support the promotion of agent configurations across environments.
- Document final configurations for handover.
- Prepare agent design notes, prompt and tool catalogues, test evidence, and runbooks.

Must-Have Requirements

- Oracle Fusion: 2–4 years of experience working on Oracle Fusion, with working knowledge of at least one pillar – SCM, Procurement, Financials, or HCM.
- Fusion APIs: Hands-on experience with Fusion REST APIs, JSON payloads, authentication, and tools such as Postman.
- Fusion Security: Understanding of roles, privileges, and data access within Oracle Fusion.
- LLM / Agent Experience: Practical experience building with LLMs, prompts, RAG, or agent frameworks, demonstrated through project work, POCs, or a portfolio.
- Written Communication: Strong written English, as the role involves writing exact agent instructions and test cases.
- Testing & Evaluation: Comfortable building test scenarios and evaluating non-deterministic outputs.

Good to Have

- Hands-on experience with Oracle Fusion AI Agent Studio or Oracle AI Agents delivery.
- Oracle Integration Cloud (OIC) development experience.

📌 Oracle AI Agent Studio Engineer (India)
🏢 engineo solutions
📍 India