Senior Staff Engineer, Gen AI with Java

Responsibilities

• Design, develop, and deploy autonomous AI agents capable of reasoning, planning, and executing complex business workflows
• Build and orchestrate agent-based solutions using LangChain, LangGraph, and modern AI agent frameworks
• Develop scalable backend services, APIs, and integrations using Java and Python
• Integrate AI agents with enterprise systems, databases, third-party APIs, and SaaS platforms
• Design and implement advanced prompt engineering, memory architectures, and tool-use capabilities
• Deploy, monitor, and optimize AI agents in production environments for performance, reliability, and cost efficiency
• Establish evaluation frameworks, testing strategies, logging mechanisms, and feedback loops to continuously improve agent behavior
• Design cloud-native AI architectures leveraging Azure AI and Machine Learning services
• Collaborate with product, engineering, and data teams to embed AI capabilities into business-critical applications
• Troubleshoot complex technical issues across AI, application, integration, and cloud environments
• Provide technical leadership, conduct architecture reviews, and mentor engineering teams
• Stay current with emerging AI technologies, LLM advancements, agent frameworks, and industry best practices
• Ensure successful delivery of AI solutions that meet business, scalability, security, and operational requirements
• Bachelor's or master's degree in computer science, Information Technology, or a related field

Requirements

• Total experience: 7.5 + years
• Strong hands-on expertise in Java and Python development within enterprise production environments
• Proven experience building AI-powered applications, autonomous agents, and intelligent workflow automation solutions
• Strong experience with Microsoft Azure AI and Machine Learning services
• Hands-on experience with LLM application frameworks such as LangChain, LangGraph, or similar agent orchestration platforms
• Strong knowledge of API development, microservices, and system integration patterns
• Experience integrating AI solutions with APIs, databases, SaaS platforms, and enterprise applications
• Solid understanding of prompt engineering, memory management, retrieval-augmented generation (RAG), and tool-calling architectures
• Experience designing scalable, secure, and cloud-native applications on Azure
• Strong software engineering fundamentals including system design, data structures, algorithms, and distributed systems
• Experience with CI/CD pipelines, containerization, monitoring, logging, and observability tools
• Strong problem-solving, stakeholder management, and technical leadership skills
• Experience deploying and supporting AI solutions in production environments

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Company Intel

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