Senior Java Fullstack AI Engineer

Qualifications

• Experience 15 years in software engineering with advisory experience
• Expertise in Java Spring Boot Angular and cloud native architectures on Microsoft Azure
• Strong background in microservices Docker Kubernetes API first design and event driven architectures
• Handson experience orchestrating agentic AI workflows using Lang Graph Lang Chain or comparable frameworks
• Proven ability to design multiagent systems with tool use planning and RAG patterns
• Strong understanding of LLM orchestration prompt engineering and AI observability
• Insurance PC domain experience strongly preferred
• Excellent communication skills with the ability to influence from engineering teams to senior leadership

Key Responsibilities

• Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core
• Build Enterprise Shared Services and APIs that could be reused across different product teams
• Define and execute an AI in SDLC strategy embedding intelligent automation across code generation automated testing code review release notes and deployment
• Design and implement agentic workflow orchestration using Lang Graph including multiagent collaboration tool integration memory management and human in the loop patterns
• Build reusable reference implementations libraries and playbooks for AI augmented engineering
• Drive adoption of DevOps CICD and observability practices with AI driven enhancements
• Advise on engineering policies and standards that embed AI first principles
• Upskill existing engineers on agentic AI patterns and AI integrated development practices

Benefits

• Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave