AI Enabled Engineer (Java, GenAI & Microservices)

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AI Enabled Engineer (Java, GenAI & Microservices)

Location: Dallas, TX (Onsite)

About Us

STAFFXPERT LLC is a technology staffing and talent solutions partner connecting skilled professionals with leading organizations across diverse industries. We focus on delivering exceptional talent and building long-term relationships that drive innovation and business success.

Job Summary

STAFFXPERT LLC is seeking an AI Enabled Engineer (Java, GenAI & Microservices) on behalf of our client in Dallas, TX.

This role is ideal for an experienced software engineer who combines strong expertise in Java-based enterprise application development with hands-on experience in Generative AI technologies. The selected candidate will design and develop scalable microservices, architect distributed systems, and build intelligent applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and cloud-native technologies.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java, Spring Boot, and Microservices architecture.

• Lead system design, technical architecture, and solution development for enterprise-grade applications.

• Build and support event-driven architectures using Apache Kafka and asynchronous messaging patterns.

• Develop secure, scalable RESTful APIs and backend services.

• Design and implement Generative AI solutions, including RAG frameworks, AI Agents, vector search, and LLM integrations.

• Develop Python-based solutions for AI integrations, automation, and data processing.

• Integrate AI/LLM services with existing enterprise applications and microservices.

• Collaborate with cross-functional teams to deliver high-quality, cloud-native solutions.

• Ensure application performance, reliability, security, and scalability across distributed environments.

Required Qualifications

• 8+ years of hands-on experience in Java/J2EE application development.

• Strong expertise in Java, Spring Boot, and Microservices Architecture.

• Proven experience with System Design, Distributed Systems, Design Patterns, and API Architecture.

• Hands-on experience with Apache Kafka and event-driven architectures.

• Strong Python programming experience, particularly for AI and Generative AI integrations.

• Experience designing and implementing Generative AI and LLM-based solutions.

• Knowledge of:

  • Retrieval-Augmented Generation (RAG)

  • Vector Databases

  • Embeddings

  • Prompt Engineering

  • AI Agents

• Experience integrating LLM platforms such as OpenAI, Gemini, Claude, Llama, or similar models.

• Strong understanding of REST APIs, authentication, security, scalability, and performance optimization.

• Experience working with relational and/or NoSQL databases.

• Experience with cloud platforms such as AWS, Azure, or GCP.

Preferred Qualifications

• Experience with Docker, Kubernetes, CI/CD pipelines, and modern DevOps practices.

• Experience deploying AI-powered enterprise applications in production environments.

• Knowledge of MLOps, model lifecycle management, and AI governance practices.

• Familiarity with observability, monitoring, and distributed tracing tools.