We are seeking a talented AI Agentic Developer to join our dynamic team. This role requires a blend of robust software engineering experience and specialized skills in AI and agentic technologies.

If you're passionate about building intelligent systems and have a proven track record in delivering enterprise-grade integrations, we encourage you to apply. This is an exciting opportunity to work on cutting-edge AI solutions.

Develop and implement agentic AI solutions, focusing on LLM-based agents, prompt engineering, and agentic workflows.

Design and build multi-agent orchestration systems, tool-use patterns, and autonomous task execution pipelines.

Integrate RAG pipelines with vector databases and manage memory/context for AI agents.

Contribute to CI/CD processes, automated testing, and monitoring of AI agent deployments.

Collaborate with global stakeholders, providing clear technical documentation and support for UAT and go-live.

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

Demonstrate expertise in MuleSoft Anypoint Platform, including API-led design, DataWeave, and CloudHub deployment. Strong fundamentals in REST/SOAP, JSON/XML, OAuth, and API security are essential.

Familiarity with agentic frameworks like LangChain or LangGraph, and experience with RAG pipelines and vector databases are key. Proficiency in Python scripting for automation is required.