Job ID: JOB_ID_7841
Role Description
We are modernizing a large-scale enterprise insurance policy administration system from VisualAge Smalltalk / mainframe COBOL to Java 21 + Spring Boot + MongoDB. You will design and build the AI agents and skills that power every phase of the transformation from reverse engineering and code extraction through to Java code generation and synthesis.
What You Will Do
- Build and maintain production AI agents for reverse engineering, code extraction, code transformation, synthesis and automated testing across Smalltalk and COBOL codebases
- Author reusable AI skills for repeatable subtasks (pseudocode conversion, diagram generation, business rule extraction, pattern identification)
- Design multi-agent pipelines with orchestration, audit logging, and human-in-the-loop checkpoints
- Own the agent standards library – design principles, naming conventions, and quality gates
- Mentor engineers on agentic AI patterns, prompt engineering, and legacy system analysis
Required Skills
- Hands-on experience building production AI agents (Anthropic, LangChain, LangGraph, AutoGen, or similar)
- Strong prompt engineering – system prompts, structured instructions, tool use, context window management
- 5+ years software engineering; 2+ years in agentic AI or LLM systems
- Proficiency in Java 21 and Python
- Ability to read and reason about legacy code (Smalltalk, COBOL, or equivalent)
- Experience with legacy-to-modern migration projects
- REST API design (OpenAPI 3.0) and MongoDB
- Git, CLI-first tooling, CI/CD pipelines
Nice to Have
- Insurance industry experience (policy administration, rating, underwriting)
- IMS/DB2, IBM MQ, or mainframe integration background
Skills: Digital : Machine Learning
Experience Required: 10 & Above
Keywords: continuous integration continuous deployment artificial intelligence message queue
Special Requirements
Need to be local for F2F interview
Compensation & Location
Salary: $120,000 – $160,000 per year (Estimated)
Location: White House Station, NJ
Recruiter / Company – Contact Information
Email: vana.s@siriinfoinc.com
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