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

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

Senior Staff Engineer, Gen AI with Java