Senior Ai Engineer

Uniphore

Palo Alto, CA, United States
Base: $140,400 - $193,050; bonus/equity: annual in...
Onsite
Distributed systems and microservices architecture
Conversational ai and nlp expertise
Cloud platforms and container orchestration
Uniphore is a leading B2B AI-native company driving AI transformation with enterprise-grade conversational AI solutions used by over 1,600 enterprises globally

Job Summary

  • Uniphore is a leading B2B AI-native company driving AI transformation with enterprise-grade conversational AI solutions used by over 1,600 enterprises globally.
  • The Senior AI Engineer role involves leading design and development of scalable conversational AI platforms combining distributed infrastructure with cutting-edge AI/ML technologies.
  • The position offers competitive base pay, annual incentives, pre-IPO stock options, comprehensive benefits, and generous paid time off policies.

Matching Summary

Uniphore is a leading B2B AI-native company driving AI transformation with enterprise-grade conversational AI solutions used by over 1,600 enterprises globally.

Salary

Base: $140,400 - $193,050; Bonus/Equity: Annual incentive opportunity, pre-IPO stock options; Benefits: Medical, dental, vision, 401(k) with match, paid time off and holidays

Skills & Requirements

Must-have

  • Distributed systems and microservices architecture
  • Conversational AI and NLP expertise
  • Cloud platforms and container orchestration
  • Large-scale AI/ML infrastructure development
  • CI/CD pipelines for ML model deployment
  • Real-time data processing and streaming
  • Backend development with Java, Go, Python

Nice-to-have

  • Leadership and mentoring skills
  • Open-source contributions and research publications
  • Cross-functional teamwork and communication
  • Knowledge-sharing culture
  • Experience with both SQL and NoSQL databases

Key Requirements

  • Bachelor’s degree in Computer Science or related field
  • 3-5+ years software development experience
  • Proven experience with distributed systems
  • Strong AI/ML and NLP expertise
  • Experience deploying AI applications in production
  • Proficiency in Java, Go, Python
  • Familiarity with cloud platforms and containerization
  • Experience with real-time data streaming
  • Excellent communication and leadership skills

Work Rights

Not specified

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