Role & responsibilities

- Design, build, test, and deploy AI agents on multiple low-code / no-code platforms

like Microsoft Copilot Studio, N8N, Make, Helix Studio, Oracle AI Studio, and other emerging agentic platforms.
- Craft high-quality system prompts, user prompts, and instruction sets that guide

agent behaviour including chain-of-thought reasoning, tool-calling directives, guardrails, and fallback logic.
- Architect agentic workflows encompassing multi-step reasoning, tool use, memory

management, context grounding, and human-in-the-loop escalation patterns.
- Integrate AI agents with enterprise systems (CRM, ERP, ITSM, HRMS, core

banking, etc.) via REST/SOAP APIs, MCP servers, A2A protocol, Power Automate connectors, webhooks, and custom plugins.
- Build and manage multi-agent orchestration patterns including delegation, sub-

agent routing, conditional branching, and cross-platform agent interoperability using A2A and similar protocols.
- Develop custom scripts (Python, JavaScript/TypeScript) for scenarios where low-

code capabilities are insufficient — e.g., data transformation, API middleware, custom MCP servers, or evaluation harnesses.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines for

knowledge-grounded agents, including document ingestion, chunking strategies, embedding, and vector store integration.
- Create structured evaluation frameworks for agents — including golden test sets,

Exact Match, LLM-as-a-Judge scoring, prompt regression testing, and automated quality gates.




- Collaborate with business stakeholders to identify automation opportunities, define

agent scope, and translate requirements into actionable agent specifications.
- Maintain comprehensive documentation of agent architectures, prompt libraries,

integration patterns, and deployment runbooks.
- Stay current with the rapidly evolving agentic AI landscape — recent platforms,

protocols (MCP, A2A, ACP), frameworks (LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI), and best practices.
- Support governance and compliance requirements by implementing appropriate

guardrails, content filters, audit trails, and role-based access controls within agent deployments.

Preferred candidate profile

- Microsoft certifications: AI-102 (Azure AI Engineer), PL-200 (Power Platform

Functional Consultant), or the upcoming AB-620 (Copilot Studio AI Agent Builder).
- UiPath certifications: UiPath Certified Automation Developer or Agentic Automation

Developer Associate.
- Experience with agentic frameworks such as LangChain, LangGraph, AutoGen,

Semantic Kernel, or CrewAI.
- Familiarity with evaluation and observability tools: LangSmith, Weights & Biases,

Application Insights, Datadog.
- Experience building custom MCP servers or implementing A2A agent discovery and task delegation.
- Knowledge of responsible AI principles, content filtering, PII handling, and AI governance frameworks.
- Exposure to RPA (Robotic Process Automation) tools and their integration with agentic AI workflows.
- Multi-language LLM prompting experience (English + Arabic is a plus for a Dubai-

based role).

📌 AI Engineer (Hyderabad)
🏢 Eidiko Systems Integrators
📍 Hyderabad