Senior AI Engineer (Java)

St. Louis, MO, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Telecommunications
  • SAINT
  • Marketing Operations
  • Innovation
  • Data Analysis
  • Data Validation
  • Workflow
  • Production Engineering
  • Scalability
  • Security QA
  • Performance Tuning
  • Lifecycle Management
  • DevOps
  • Software Engineering
  • Backend Development
  • Spring Framework
  • Microservices
  • Apache Kafka
  • Messaging
  • Use Cases
  • Text Classification
  • Clustering
  • Natural Language Processing
  • Prompt Engineering
  • Evaluation
  • SQL
  • RDBMS
  • Software Testing
  • Continuous Integration
  • Continuous Delivery
  • Production Support
  • Communication
  • Collaboration
  • Orchestration
  • Machine Learning Operations (ML Ops)
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Docker
  • Kubernetes
  • Java
  • Python
  • Machine Learning (ML)
  • Vector Databases
  • Semantic Search
  • Artificial Intelligence
  • Routing
  • Interactive Voice Response
  • Mentorship
  • Offshoring

Summary

Job Description
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91021855
  • Position Id: 6511008d2510911185ebb287005b1d5d
  • Posted 5 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

St. Louis, Missouri

Today

Full-time

USD 110,500.00 - 185,900.00 per year

Maryland Heights, Missouri

Today

Contract

$57.80 - $73.00 hourly

Remote

Today

Easy Apply

Full-time

Depends on Experience

Illinois

Today

Full-time

USD 73,150.00 - 174,000.00 per year

Search all similar jobs