What are the responsibilities and job description for the AI Engineer – Anthropic Claude position at ClifyX?
Job Title: AI Engineer – Anthropic Claude
Location: Jersey City, NJ
Employment Type: Full-Time
Job Summary
We are seeking a highly skilled AI Engineer with hands-on experience working with Anthropic Claude (Claude Code). This role requires strong expertise in Java, Spring Boot, and modern SDLC practices, along with the ability to analyze and modernize legacy systems using AI-driven approaches.
Required Skills & Experience
- Hands-on experience with Claude Code (Anthropic Claude) for:
- Navigating large/unfamiliar codebases
- Multi-file refactoring
- Test execution
- Git-based workflows
- Strong expertise in Java and Spring Boot microservices:
- REST API development
- Scalable system design
- Data persistence (RDBMS / NoSQL)
- Experience with CI/CD pipelines, Kubernetes, and Git-based delivery
- Strong understanding of Software Development Life Cycle (SDLC)
- Proven experience in reverse engineering:
- Extracting business logic from legacy systems
- Creating PRDs and functional documentation
- Converting requirements into user stories (e.g., Jira)
- Familiarity with modernization approaches:
- Refactor / rewrite / replace strategies
- Transition from legacy to modern architectures
- Knowledge of policy administration systems:
- Product rules (underwriting, forms, rating)
- Core policy engine concepts
- Integration with legacy systems
Key Responsibilities
- Use Claude Code to analyze and refactor large codebases using AI-driven techniques
- Perform reverse engineering to extract business logic and document functional requirements
- Translate technical findings into user stories and documentation
- Design and develop Java/Spring Boot microservices and REST APIs
- Build and maintain CI/CD pipelines with automated testing and quality checks
- Deploy and manage applications in Kubernetes environments
- Drive application modernization initiatives (refactor, rewrite, replace)
- Ensure alignment with business systems, especially in policy administration domains