AI Modernization Senior Lead Software Engineer

hackajob

Jersey City (NJ)

On-site

USD 120,000 - 210,000

Full time

14 days+

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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

The role involves designing, building, and shipping systems that translate legacy mainframe logic into modern services. You will work closely with domain experts to validate outputs and ensure the reliability of AI systems in production.

Requirements

Candidates should have formal training in software engineering and at least 5 years of applied experience, particularly with LLM-based applications and AI-assisted development tools. Strong proficiency in Python and a solid understanding of distributed systems and event-driven architectures are also required.

Key Skills

Software Engineering, AI Modernization, LLM-Based Applications, Agentic Architectures, Prompt Engineering, Python Development, Distributed Systems, Event-Driven Architectures, API Design, Testing Practices, Cloud Platforms, Mainframe Technologies, Data Pipelines, Financial Calculations, Debugging, Communication

Benefits
  • Health Care Coverage
  • On-Site Health and Wellness Centers
  • Retirement Savings Plan
  • Backup Childcare
  • Tuition Reimbursement
  • Mental Health Support
  • Financial Coaching
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