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Java Back-End Engineer – AI Technologiesv

Job in O'Fallon, St. Charles County, Missouri, 63366, USA
Listing for: Anveta, Inc
Full Time position
Listed on 2026-07-26
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, Java Developer
Job Description & How to Apply Below

Java Back-End Engineer – AI Technologies

Location:

O'Fallon, MO

We are seeking a highly skilled Senior Java Back-End Engineer with strong AI expertise to design, develop, and deploy scalable backend systems and Agentic AI solutions. The ideal candidate will have extensive experience in Java/Spring Boot development, microservices, APIs, cloud platforms, and hands-on experience building AI-powered applications, LLM integrations, and autonomous AI agents.

Key Responsibilities

  • Design and develop scalable, secure, and high-performance backend services using Java, Spring Boot, and Microservices.
  • Build and integrate Agentic AI applications powered by Large Language Models (LLMs).
  • Develop AI agents capable of reasoning, planning, decision-making, tool calling, and executing multi-step tasks.
  • Develop RESTful APIs and event-driven architectures to support AI and business applications.
  • Build RAG (Retrieval-Augmented Generation) solutions using vector databases and enterprise data sources.
  • Implement AI agent orchestration, memory, context management, and workflow automation.
  • Work with frameworks and technologies such as Lang Chain, Lang Graph, Spring AI, or similar AI agent frameworks.
  • Develop automated testing, monitoring, logging, and performance optimization strategies.
  • Deploy and manage applications on cloud platforms such as AWS, Azure, or GCP.

Required Skills

  • 7+ years of experience in software engineering and backend development.
  • Excellent experience with Spring Boot, Spring Framework, Spring AI, and Microservices.
  • Strong knowledge of REST APIs, Web Services, API Gateway, and distributed systems.
  • Strong experience with SQL and No

    SQL databases.
  • Experience with Docker and Kubernetes.
  • Hands-on experience building Generative AI and Agentic AI applications.
  • Experience integrating LLMs and Foundation Models into production applications.
  • Understanding of AI agents, tool/function calling, multi-agent systems, agent memory, planning, and orchestration.
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