We are seeking an AI Agentic Developer with a strong foundation in software integration and a passion for artificial intelligence. This role involves leveraging cutting-edge AI and agentic AI technologies to build sophisticated solutions.

You will be instrumental in delivering production-ready integrations within an enterprise setting, driving innovation and efficiency through intelligent automation. The ideal candidate possesses a blend of deep technical expertise and a forward-thinking approach to AI development.

Design and implement robust integrations using the MuleSoft Anypoint Platform, focusing on API-led connectivity, DataWeave transformations, and CloudHub deployments.

Develop and deploy AI/agentic AI solutions, including LLM-based agents, prompt engineering, and autonomous workflows.

Integrate Retrieval-Augmented Generation (RAG) pipelines with vector databases and manage agent memory/context for effective conversation handling.

Collaborate with global stakeholders, ensuring seamless delivery of projects through CI/CD pipelines, automated testing, and clear technical documentation.

Requires 4-5 years of overall software integration engineering experience, with at least 2 years focused on AI/Agentic AI.

Proficiency in MuleSoft Anypoint Platform (API-led design, DataWeave, connectors, CloudHub) and strong fundamentals in REST/SOAP, JSON/XML, OAuth, and API security.

Familiarity with AI/ML concepts, LLM agents, prompt engineering, agent architectures (multi-agent orchestration, tool-use), and agentic frameworks like LangChain.

Experience with RAG pipelines, vector databases, caching, memory management for AI agents, and deployment platforms like Databricks or MLflow is essential.

Proficiency in Python scripting for automation and a solid understanding of engineering best practices including CI/CD, version control, automated testing, and monitoring are critical.