Software Architect I -Senior Java Developer – Agentic AI

• Design and develop scalable backend applications using Java, Spring Boot, and Microservices.
• Build and implement AI agent workflows and multi-agent systems.
• Integrate Large Language Models (LLMs) and Generative AI capabilities into enterprise applications.
• Develop RESTful APIs and event-driven architectures for AI-powered applications.
• Build and deploy cloud-native solutions on Azure and/or AWS.
• Collaborate with AI engineers, product teams, and solution architects to deliver intelligent solutions.
• Optimize application performance, scalability, security, and reliability.
• Participate in architecture discussions, code reviews, and technical design.
• Implement best practices for AI integration, software development, and DevOps.
• Ensure high-quality code through testing, debugging, monitoring, and continuous improvement.

Must Have Skills

• Strong hands-on experience in Java, Spring Boot, and Microservices.
• Experience with Agentic AI, AI Agents, or Generative AI solutions.
• Knowledge of Large Language Models (LLMs) and AI integration patterns.
• Experience building REST APIs and distributed systems.
• Hands-on experience with Kafka or other event-driven messaging platforms.
• Experience with Azure and/or AWS cloud platforms.
• Strong understanding of API integration and enterprise application development.
• Knowledge of software design principles, SDLC, and Agile methodologies.
• Strong debugging, troubleshooting, and performance optimization skills.
• Excellent communication and problem-solving abilities.

Good to Have Skills

• Experience designing and orchestrating multi-agent AI systems.
• Knowledge of AI safety, guardrails, and human-in-the-loop workflows.
• Experience with prompt engineering, prompt tuning, and model evaluation.
• Exposure to AI observability and monitoring frameworks.
• Experience with Vector Databases, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Experience with Azure AI Services, Azure OpenAI, AWS Bedrock, or OpenAI APIs.
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or equivalent experience.