AI Agentic Developer

NTT DATA, Inc.; Hyderabad; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

NTT DATA, Inc. in Hyderabad, India, seeks a seasoned software/integration engineer with exposure to AI agentic workflows to deliver production integrations for enterprise environments.

The role emphasizes MuleSoft, REST/SOAP APIs, and data security, with a preference for hands-on experience and related certifications. The ideal candidate brings 4–5 years in software engineering and ~2 years in AI/agentic AI, capable of translating business rules into deterministic automation logic, and

Qualifications

• 4–5 years of overall software / integration engineering experience, including approximately 2 years of hands-on AI / Agentic AI experience.
• Proven delivery of production integrations in an enterprise environment.
• Hands-on experience on the MuleSoft Anypoint Platform — API-led design, DataWeave, connectors, error handling, and CloudHub deployment. MuleSoft Developer certification preferred.
• Strong REST/SOAP, JSON/XML, OAuth, and API-security fundamentals; comfortable with email, file, and database connectivity patterns.
• Exposure to SAP order entry, pricing, drop-ship, and customer master data is a strong plus; ability to translate business rules into deterministic automation logic.

Skills

MuleSoft

API security

REST/SOAP

Python scripting

AI concepts

Tools

MuleSoft Anypoint Platform

LangChain

Databricks

MLflow

Vector stores

Job description

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• 4–5 years of overall software / integration engineering experience, including approximately 2 years of hands-on AI / Agentic AI experience.


• Proven delivery of production integrations in an enterprise environment.

MuleSoft & Integration Expertise

• Hands-on experience on the MuleSoft Anypoint Platform — API-led design, DataWeave, connectors, error handling, and CloudHub deployment. MuleSoft Developer certification preferred.


• Strong REST/SOAP, JSON/XML, OAuth, and API-security fundamentals; comfortable with email, file, and database connectivity patterns.


• Exposure to SAP order entry, pricing, drop-ship, and customer master data is a strong plus; ability to translate business rules into deterministic automation logic.

AI / Agentic AI Skill Set

• Exposure to AI/ML concepts — LLM-based agents, prompt engineering, or agentic workflows.


• Understanding of AI agent architectures — multi-agent orchestration, tool-use patterns, and autonomous task execution.


• Knowledge of agentic frameworks such as LangChain, LangGraph, or similar.


• Experience building or integrating RAG (Retrieval-Augmented Generation) pipelines with vector databases.


• Familiarity with caching strategies and memory / context management for AI agents (conversation history, session persistence, vector stores).


• Experience with agent deployment and serving (Databricks preferred), MLflow, or similar platforms.


• Familiarity with MCP (Model Context Protocol) or AI-assisted automation.


• Python scripting for automation or tooling.

Engineering Practices & Ways of Working

• CI/CD, version control, automated testing, and monitoring; writes clear technical documentation and supports UAT and go-live.


• Self-directed delivery with strong communication skills; comfortable operating across overlapping time zones with global stakeholders.

Nice to Have

• Experience with EDI, cXML, Coupa and B2B onboarding integrations.


• Exposure to document-extraction and evaluation of agent accuracy.

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