Hybrid Senior Software Engineer – Applied AI Engineering

Posted last week

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About the role

  • Senior Software Engineer developing AI-driven applications for enterprise revenue systems. Leading design and technical direction for complex AI systems in a supportive environment.

Responsibilities

  • Architect and lead the design of complex AI systems
  • Own end-to-end delivery of AI features
  • Drive technical direction for AI platform components
  • Build high-scale data pipelines
  • Mentor SDE-II and junior engineers
  • Lead evaluation and safety initiatives
  • Collaborate cross-functionally with other teams
  • Optimize production systems for performance, cost, and reliability

Requirements

  • 5+ years of software engineering experience
  • 2+ years building production LLM/GenAI systems at scale
  • Expert-level Python skills
  • Deep hands-on experience with ML/LLM frameworks (PyTorch, Hugging Face, etc.)
  • Proven experience building and scaling vector search systems (Elasticsearch, Pinecone, etc.)
  • Strong system design skills (microservices, distributed systems)
  • Production experience with Kubernetes, Docker, and cloud infrastructure (AWS preferred)
  • Expertise in LLM optimization
  • Track record of technical leadership
  • Excellent communication skills

Benefits

  • Equal Opportunity Employer
  • Inclusive workplace
  • AI Notetaker in interviews
  • Supportive workplace culture

Job title

Senior Software Engineer – Applied AI Engineering

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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