Senior AI Modernization Lead Engineer

hackajob; Jersey City (NJ); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health and Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Job summary

hackajob is seeking an experienced software engineer to design, build, and ship systems that translate legacy mainframe logic into modern services. You will work with domain experts to validate outputs and ensure AI systems operate reliably in production.

The role requires strong Python skills and a solid grasp of distributed and event-driven architectures, with hands-on experience in LLM-based applications and AI-assisted development tools.

Qualifications

• Formal software engineering background required.
• 5+ years of applied experience, specifically with LLM-based applications and AI-assisted development tools.
• Strong Python skills and understanding of distributed systems and event-driven architectures.

Responsibilities

• Design, build, and ship systems translating legacy mainframe logic into modern services.
• Collaborate with domain experts to validate outputs and ensure reliability of AI systems in production.
• Develop and maintain software that integrates AI-assisted development tools and LLM-based components.
• Participate in architecture discussions for scalable, robust systems.

Skills

Software Eng

AI Modernization

LLM Apps

Agentic Architecture

Prompt Engineering

Python Development

Distributed Systems

Event-Driven

API Design

Testing Practices

Cloud Platforms

Mainframe Tech

Data Pipelines

Financial Calculations

Debugging

Communication

Education

Formal training in software engineering

Job description

hackajob is seeking an experienced software engineer to design, build, and ship systems that translate legacy mainframe logic into modern services. You will work with domain experts to validate outputs and ensure AI systems operate reliably in production.

The role requires strong Python skills and a solid grasp of distributed and event-driven architectures, with hands-on experience in LLM-based applications and AI-assisted development tools.