Need Gen AI Developer - Atlanta, GA

Role: Gen AI Java Developer Location: Atlanta, GA Duration: Long Term

We are seeking a highly skilled Generative AI Java Developer to design, build, and deploy robust and scalable applications that integrate Large Language Models (LLMs) and other generative AI technologies. You will be a key player in a cross-functional team, bridging the gap between advanced AI research and production-ready Java systems. Your work will directly contribute to creating innovative products that push the boundaries of what's possible.
Key Responsibilities

• Design, develop, test, and deploy high-performance, scalable, and secure Java-based applications that leverage Generative AI and LLMs (e.g., OpenAI GPT, Google PaLM, Llama 2, etc.).
• Integrate third-party AI APIs and open-source models into our existing Java microservices architecture.
• Develop and optimize backend services for tasks such as prompt engineering, response processing, data orchestration, and AI output validation.
• Build robust API endpoints (REST/gRPC) to serve AI functionalities to front-end clients and other services.
• Collaborate with ML engineers and data scientists to productionize machine learning models, ensuring seamless deployment and monitoring.
• Implement best practices for code quality, testing (unit, integration), and continuous integration/continuous deployment (CI/CD).
• Optimize application performance and latency, which is critical for real-time AI interactions.
• Stay current with the rapidly evolving Gen AI landscape and evaluate new tools, libraries, and frameworks for potential integration.

Required Qualifications & Skills

• Must-Have:
  
  • Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 9+ years of professional experience in Java development.
  • Proven experience with the Spring Boot framework and the Spring ecosystem (Spring MVC, Spring Data, Spring Cloud).
  • Solid understanding of RESTful API design, microservices architecture, and distributed systems.
  • Experience with build tools (Maven or Gradle) and version control (Git).
  • Strong understanding of software development principles (OOP, Design Patterns, Data Structures, Algorithms).
  • Hands-on experience integrating with or building applications using Generative AI APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Google Vertex AI) or open-source LLMs.
  • Familiarity with core Gen AI concepts like prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation).
• Highly Desirable:
  
  • Experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization technologies (Docker, Kubernetes).
  • Knowledge of the Python data science stack (NumPy, Pandas) is a big plus, as it facilitates collaboration with ML teams.
  • Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, PostgreSQL pgvector).
  • Familiarity with AI/ML deployment tools and concepts (MLflow, Kubeflow, model serving).
  • Understanding of agile methodologies (Scrum, Kanban).

Regards,

Radiantze Inc