Staff AI Engineer, Applied AI — Lead AI Solutions (Remote)

Rula

United States

On-site

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

100% remote work
Attractive pay and benefits
Comprehensive health benefits
401(k) plan access
Generous time-off policies
Paid parental leave
Employee Assistance Program
Home office stipend
Quarterly department stipend
Wellness events

Job summary

Rula is seeking a Staff AI Engineer to lead their AI initiatives in a remote-first environment. This role requires 8+ years of AI/ML development and strong expertise in Python and backend development. Responsibilities include driving innovation and working across teams to implement high-impact AI products. The ideal candidate will possess leadership skills and a passion for defining the future of AI. The position includes comprehensive benefits like health plans and generous time-off policies.

Qualifications

  • 8+ years of AI/ML development with track record of product success.
  • 5+ years of deep experience in Python and backend language.
  • Strong expertise in LLM integration patterns and AI orchestration.

Responsibilities

  • Lead technical direction for high-impact AI products.
  • Work across teams to turn big ideas into shipped systems.
  • Define the future of AI at Rula.

Skills

AI/ML development
Python
Backend development languages
Foundation models
LLM integration patterns
AIOps
Communication skills

Education

Bachelor’s degree in Machine Learning or related field

Tools

AWS
GCP
LangChain
Pinecone

Job description

Rula is seeking a Staff AI Engineer to lead their AI initiatives in a remote-first environment. This role requires 8+ years of AI/ML development and strong expertise in Python and backend development. Responsibilities include driving innovation and working across teams to implement high-impact AI products. The ideal candidate will possess leadership skills and a passion for defining the future of AI. The position includes comprehensive benefits like health plans and generous time-off policies.
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