Job Summary

We are looking for an experienced Agentic AI & GenAI Integration Engineer with strong Java development skills and hands-on experience in enterprise integration platforms such as WSO2, MuleSoft, or Dell Boomi. The ideal candidate should have experience integrating Generative AI capabilities, AI agents, and enterprise applications to build scalable, secure, and intelligent business solutions.

Key Responsibilities

- Design, develop, and implement enterprise integration solutions using Java and integration platforms such as WSO2, MuleSoft, or Dell Boomi.
- Integrate Generative AI and Agentic AI capabilities into enterprise applications, APIs, and business workflows.
- Develop and maintain RESTful APIs, microservices, and backend integration components using Java.
- Build AI-powered workflows using LLMs, AI agents, and external tools or enterprise systems.
- Integrate AI models and services with enterprise applications, databases, and third-party systems.
- Work on API management, data transformation, orchestration, authentication, and secure system-to-system communication.
- Collaborate with architects, AI engineers, and business teams to identify and implement suitable AI integration solutions.
- Troubleshoot integration issues, optimize performance, and ensure scalability, reliability, and security.
- Follow coding standards, conduct code reviews, and maintain technical documentation.

Required Skills & Qualifications

- 5-8 years of overall IT experience in software development and enterprise integration.




- Strong hands-on experience in Java is mandatory, including Core Java, OOP concepts, collections, exception handling, and multithreading.
- Experience with at least one enterprise integration platform: WSO2/ MuleSoft, or Dell Boomi.
- Hands-on exposure to Generative AI concepts, LLM integration, and AI-powered application development.
- Understanding of Agentic AI concepts, AI agents, tool/function calling, and multi-step workflow orchestration.
- Experience developing and integrating REST APIs, microservices, and enterprise applications.
- Knowledge of JSON, XML, API security, authentication, and data transformation.
- Familiarity with Git, CI/CD pipelines, debugging, and application deployment.
- Strong analytical, problem-solving, and communication skills.

Good to Have

- Experience with frameworks such as Spring Boot and Spring AI.
- Exposure to LangChain, LangGraph, or similar AI orchestration frameworks.
- Experience integrating LLMs such as OpenAI, Azure OpenAI, or other enterprise AI services.
- Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Understanding of enterprise security, governance, and responsible AI practices.

Preferred Candidate Profile

Candidates who combine robust Java development expertise, enterprise integration experience, and practical exposure to Agentic AI and GenAI implementations will be preferred.

Mandatory Skills: Java + WSO2 / MuleSoft / Dell Boomi + Agentic AI / GenAI exposure.

📌 Agentic AI /Gen Ai integration Engineer (Hyderabad)
🏢 Wintech Services
📍 Hyderabad