Senior AI Engineer (Java)

ITTConnect is seeking an experienced Senior AI Engineer (JAVA) to work for a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. End client is in the telecom industry. 

• Design and develop scalable backend applications and services using Java and Spring Boot.
  

• Build event-driven and distributed services using Kafka, REST APIs, and microservices architecture.
  

• Integrate NLP, machine learning, and LLM capabilities into Java-based enterprise applications.
  

• Build or integrate NLP solutions for text classification, clustering, intent detection, and related use cases.
  

• Perform data analysis and data validation using SQL.
  

• Design and deploy LLM workflows involving prompt engineering, evaluation, and Retrieval-Augmented Generation (RAG).
  

• Develop integrations between Java applications and Python-based AI/ML or model-serving services when appropriate.
  

• Contribute to agentic AI workflows supporting multistep interactions, tool execution, validation, and workflow orchestration.
  

• Apply production engineering practices covering scalability, resiliency, security, testing, monitoring, and performance optimization.
  

• Contribute to LLMOps and MLOps practices, including evaluation, monitoring, versioning, deployment, and lifecycle management.
  

• Collaborate with AI/ML, product, platform, data, and DevOps teams.
  

• Participate in architecture reviews, code reviews, technical planning, and production support.
  

• Mentor junior and offshore engineers and promote engineering best practices.
  

Requirements

• 10+ years of total technology or software-engineering experience.
  

• Strong hands-on backend development experience using Java.
  

• Strong experience with Spring Boot, REST APIs, and microservices.
  

• Experience with Kafka or comparable event-driven messaging technologies.
  

• Practical experience implementing or integrating AI/ML capabilities in production applications.
  

• Experience with NLP use cases such as text classification or clustering.
  

• Experience integrating machine learning models, NLP services, or LLM-based capabilities with enterprise applications.
  

• Hands-on experience with LLM concepts and solutions, including:
  

  • Prompt engineering
    

  • LLM evaluation
    

  • Retrieval-Augmented Generation
    

• Strong SQL and relational-database experience.
  

• Experience with software testing, CI/CD, security, monitoring, and production support.
  

• Strong communication and cross-functional collaboration skills.
  

Preferred Qualifications

• Experience with agentic AI or multi-agent orchestration.
  

• Experience with LLMOps or MLOps in production environments.
  

• Cloud experience with AWS, Azure, or Google Cloud Platform.
  

• Experience with Docker and Kubernetes.
  

• Experience integrating Java services with Python-based AI/ML components.
  

• Experience with vector databases and semantic search.
  

• Familiarity with voice AI, IVR, conversational AI, intent detection, or call-routing systems. Voice and IVR experience are preferred but not required.
  

• Experience mentoring distributed, offshore, or junior engineering teams.