Principal Software Engineer - AI Engineer

hackajob; Jersey City (NJ); On-site; USD 160,000 - 230,000; Full time

Job summary

hackajob is seeking a Principal Software Engineer to lead complex ML initiatives in Jersey City, shaping architecture and delivering production-ready solutions.

You will drive ML project design, implement scalable code, and collaborate across teams to optimize models and deployments, leveraging MLOps and CI/CD practices. The role demands a strong background in Python and cloud-native AI deployment, with a focus on reliability, governance, and explainability.

Qualifications

• Formal training in software engineering.
• At least 7 years of applied experience.
• Strong Python skills with MLOps expertise and experience deploying LLM-backed services.

Responsibilities

• Lead complex ML projects and initiatives across teams.
• Design AI architectures and production-quality code.
• Optimize ML solutions and deployments for reliability and scalability.

Skills

Python

Machine Learning

Software Engineering

Product Management

MLOps

Cloud-Native AI Deployment

CI/CD

Monitoring

Education

Bachelor's degree in Computer Science or related field

Tools

MLOps

Vector Storage Systems

CI/CD

Audit Logging

Model Governance

Cloud-Native AI Deployment

Job description

The Principal Software Engineer will lead complex ML projects and initiatives, driving impact across teams and technologies. Responsibilities include designing AI architectures, writing production-quality code, and optimizing ML solutions.

Requirements

Candidates should have formal training in software engineering and at least 7 years of applied experience. Strong Python skills, expertise in MLOps, and experience deploying LLM-backed services are essential.

Key Skills

• Python
• Machine Learning
• Software Engineering
• Product Management
• MLOps
• Cloud-Native AI Deployment
• CI/CD
• Monitoring
• Incident Response
• Model Governance
• Vector Storage Systems
• Prompt Engineering
• AI Systems
• Safety Filters
• Audit Logging
• Explainability

Benefits

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