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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
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Design, develop, and maintain scalable applications using Java, Spring Boot, and Microservices architecture.
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Lead system design, technical architecture, and solution development for enterprise-grade applications.
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Build and support event-driven architectures using Apache Kafka and asynchronous messaging patterns.
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Develop secure, scalable RESTful APIs and backend services.
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Design and implement Generative AI solutions, including RAG frameworks, AI Agents, vector search, and LLM integrations.
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Develop Python-based solutions for AI integrations, automation, and data processing.
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Integrate AI/LLM services with existing enterprise applications and microservices.
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Collaborate with cross-functional teams to deliver high-quality, cloud-native solutions.
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Ensure application performance, reliability, security, and scalability across distributed environments.
Required Qualifications
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8+ years of hands-on experience in Java/J2EE application development.
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Strong expertise in Java, Spring Boot, and Microservices Architecture.
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Proven experience with System Design, Distributed Systems, Design Patterns, and API Architecture.
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Hands-on experience with Apache Kafka and event-driven architectures.
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Strong Python programming experience, particularly for AI and Generative AI integrations.
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Experience designing and implementing Generative AI and LLM-based solutions.
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Knowledge of:
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Retrieval-Augmented Generation (RAG)
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Vector Databases
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Embeddings
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Prompt Engineering
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AI Agents
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Experience integrating LLM platforms such as OpenAI, Gemini, Claude, Llama, or similar models.
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Strong understanding of REST APIs, authentication, security, scalability, and performance optimization.
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Experience working with relational and/or NoSQL databases.
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Experience with cloud platforms such as AWS, Azure, or GCP.
Preferred Qualifications
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Experience with Docker, Kubernetes, CI/CD pipelines, and modern DevOps practices.
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Experience deploying AI-powered enterprise applications in production environments.
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Knowledge of MLOps, model lifecycle management, and AI governance practices.
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Familiarity with observability, monitoring, and distributed tracing tools.
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