Lead Java AI Engineer

Lead 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国际娱乐 robust backend services and embed AI‑driven capabilities such as natural language processing, recommendation systems, predictive analytics, and automation.

• 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 (lst: 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.

• 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 Javaipo/J2EE development
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• Location for this position is Austin, TX
  . This position requires travel and/or relocation to project/client location.

• At least 3 years of experience in Java/J2EE development
• At least 3 years of experience in DB SQL/No
  
  SQL.
• Strong knowledge of Spring Boot, Microservices, Spring Security, Spring MVC, Spring Data, JPA, Hibernate.
• Hands‑on experience with AI/ML frameworks (Tensor Flow, 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 Lang Chain, Lang Graph, RAG architecture, or vector databases (Pinecone, FAISS).
• Understanding of the machine learning lifecycle (training, testing, deployment).
• Experience with event‑driven systems (Kafka, Rabbit
  
  MQ).
• 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.
• Pass Bonjour, team player, and fast learner.