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Staff AI Engineer (L4)

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Onsite

Staff AI Engineer (L4)

Ladders

Staff AI Engineer (L4)

Skills

PythonData ScienceJavaC#MicroservicesMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

8 September 2026

What they need


For our client, we are seeking a Staff AI Engineer (L4) to join the team of a leader in the Finance & Insurance space.

This role will help shape and deliver AI solutions that address complex customer and business challenges in a highly regulated environment. You will partner closely with technical and non-technical stakeholders to turn ideas into scalable designs, while driving the development of production-grade AI systems. The work will span modern machine learning, generative AI, platform reliability, and operational excellence across distributed services.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $185,000 – $217,400 annually

Responsibilities

  • Partner with stakeholders to convert customer challenges into technical designs and AI strategies
  • Architect, build, and deploy high-performance AI/ML platforms with a focus on scalability and security
  • Lead development and monitoring of production AI/ML models, including LLMs and RAG architectures
  • Design and standardize CI/CD pipelines and Infrastructure as Code for automated deployments
  • Monitor system health and lead incident response for critical AI systems
  • Mentor junior engineers and promote engineering best practices through code reviews
  • Explore emerging AI technologies and prototype innovative solutions

Qualifications

  • 8+ years of experience in AI/ML engineering, data science, or software engineering focused on production ML systems
  • Bachelor’s degree in Computer Science or a related field; Master’s degree or PhD in AI/ML preferred
  • Proven expertise deploying AI solutions at scale using Java, C#, GoLang, or Python
  • Experience with Generative AI, including LLMs, fine-tuning, and agentic workflows
  • Strong design skills in distributed systems and microservices architectures
  • Ability to lead technical discussions with non-technical stakeholders
  • Financial or fintech industry experience is a plus

Benefits

  • Health, dental, and vision insurance
  • Retirement savings plan
  • Paid time off and flexible spending accounts
  • Life and disability insurance
  • Tuition reimbursement and health savings account

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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