Java AI Engineer

Java AI Engineer who can design, build, and integrate intelligent systems into scalable enterprise applications. The ideal candidate has a strong Java development background combined with hands-on experience using AI/ML tools, APIs, and frameworks, and exposure to Generative AI and LLMs.
You ll work closely with cross-functional teams to design robust backend services and embed AI-driven capabilities such as natural language processing, recommendation systems, predictive analytics, and automation.
Key Responsibilities

• Design and develop high-performance applications using Java (Spring Boot, Microservices).
• Integrate AI models via REST APIs, Python services, or cloud AI platforms.
• Collaborate with data scientists to deploy and optimize ML models in production.
• Build APIs and microservices that enable intelligent, data-driven features.
• Implement data pipelines for AI workloads, ensuring scalability and reliability.
• Evaluate and experiment with GenAI, LLMs, and AI APIs (OpenAI, AWS Bedrock, Vertex AI, OpenAI).
• Maintain coding standards, CI/CD pipelines, and cloud deployment best practices (AWS, Google Cloud Platform).
• Troubleshoot performance issues and ensure application reliability.

Required Qualifications:

• Bachelor s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 4 years of experience in Information Technology.
• Experience in Java/J2EE development
• Location for this position is Austin, TX. This position requires travel and/or relocation to project/client location.

Preferred Qualifications:

• At least 3 years of experience in Java/J2EE development
• At least 3 years of experience in DB SQL/NoSQL.
• Strong knowledge of Spring Boot, Microservices, Spring Security, Spring MVC, Spring Data, JPA, Hibernate.
• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience integrating AI APIs (OpenAI, Hugging Face, Google Vertex AI).
• Hands-on experience designing and integrating microservices using REST APIs and asynchronous messaging (Kafka).
• High-level knowledge of CI/CD.
• Familiarity with Generative AI technologies (LLM integration, prompt engineering, AI model APIs).
• Solid understanding of data structures, algorithms, and software design patterns.
• Familiarity with Python for ML model interaction or API wrapping.
• Experience with Docker, Kubernetes, and cloud environments (AWS/Google Cloud Platform/Azure).
• Exposure to LangChain, LangGraph, RAG architecture, or vector databases (Pinecone, FAISS).
• Understanding of the machine learning lifecycle (training, testing, deployment).
• Experience with event-driven systems (Kafka, RabbitMQ).
• Contribution to AI-based open-source projects or hackathons.
• Strong analytical and troubleshooting skills.
• Excellent oral and written communication skills.
• Ability to independently learn new technologies.
• Passionate, team player, and fast learner.