AI Engineer

Lawrence Harvey

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience building and deploying AI/ML solutions in production environments.
  • Strong Python development skills.
  • Hands-on experience with LLMs, prompt engineering, and RAG architectures.
  • Experience with PyTorch or TensorFlow.
  • Knowledge of Docker, Kubernetes, CI/CD, and MLOps best practices.
  • Financial Services, Insurance, or Banking experience is highly desirable.

Responsibilities

  • Design, develop, and deploy Generative AI and Machine Learning solutions.
  • Build and optimize LLM-powered applications, NLP tools, and AI-driven workflows.
  • Develop APIs and services that integrate AI capabilities into business platforms.
  • Create scalable MLOps pipelines for model deployment, monitoring, and continuous improvement.
  • Collaborate with Data Engineering, Analytics, and business stakeholders to deliver measurable business outcomes.

Benefits

  • Medical insurance
  • Vision insurance
  • Dental insurance
  • 401(k)
  • Disability insurance
  • Commuter benefits
  • Paid paternity leave
  • Paid maternity leave
Full Job Description
Artificial Intelligence Engineer | InsurTech Startup | New York (Hybrid)

The Opportunity

As an Artificial Intelligence Engineer, you'll play a key role in designing and deploying Generative AI and Machine Learning solutions across both internal operations and customer-facing products. Working closely with senior technology leadership, you'll help build AI capabilities from the ground up and have a direct impact on the company's growth strategy.

Key Responsibilities
  • Design, develop, and deploy Generative AI and Machine Learning solutions.
  • Build and optimize LLM-powered applications, NLP tools, and AI-driven workflows.
  • Develop APIs and services that integrate AI capabilities into business platforms.
  • Create scalable MLOps pipelines for model deployment, monitoring, and continuous improvement.
  • Collaborate with Data Engineering, Analytics, and business stakeholders to deliver measurable business outcomes.

What We're Looking For
  • Experience building and deploying AI/ML solutions in production environments.
  • Strong Python development skills.
  • Hands-on experience with LLMs, prompt engineering, RAG architectures, and Generative AI.
  • Experience with PyTorch or TensorFlow.
  • Knowledge of Docker, Kubernetes, CI/CD, and MLOps best practices.
  • Financial Services, Insurance, or Banking experience is highly desirable.

Why Apply?
  • Opportunity to help build an AI function from the ground up.
  • Work directly with executive leadership on high-impact AI initiatives.
  • Cutting-edge technology environment focused on GenAI, automation, and digital transformation.
  • Strong career growth potential within a rapidly scaling organization.

If you're passionate about applying AI to solve real-world business challenges and want to help shape the future of a fast-growing technology-driven organization, we'd love to hear from you.

Featured benefits

Medical insurance, Vision insurance, Dental insurance, 401(k), Disability insurance, Commuter benefits, Paid paternity leave, Paid maternity leave

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