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. 

Job location : Saint Louis, MO .

We are seeking a highly experienced   senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems.

Key Responsibilities:

• 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.