AI Agentic Developer

Job description

General Experience • 45 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. ",