Lead Java AI Engineer Job at Avance Consulting, Austin, TX

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  • Avance Consulting
  • Austin, TX

Job Description

Job Title : Lead Java AI Engineer

Location : Austin, Texas ( On Site )

Job Type : Full-time

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, GCP).
  • Troubleshoot performance issues and ensure application reliability.

Required Qualifications:

  • At least 7 years of experience in Information Technology.
  • Experience in Java/J2EE development

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/GCP/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.

Job Tags

Full time,

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