AI Enabled Engineer (Java, GenAI & Microservices)

Staffxpert LLC (Dallas TX, USA) Follow 3 hours ago

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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.