NTT DATA—AI Agentic Developer

Job description

Description: General & Experience - 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 - MuleSoft Certified Developer / Integration Architect certification. - Experience with EDI, cXML, Coupa and B2B onboarding integrations. - Exposure to document-extraction and evaluation of agent accuracy.