Sr. Ai Application Developer

Genesys

Base: $129,800.00 - $241,200.00; bonus/equity: per...
Fully remote
Enterprise-grade ai applications
Ai services platform
Python, java, and/or javascript/typescript
Lead the design, development, and deployment of AI-driven applications for enterprise use cases such as customer engagement, workflow automation, and decision support

Job Summary

  • Lead the design, development, and deployment of AI-driven applications for enterprise use cases such as customer engagement, workflow automation, and decision support.
  • Ensure applications meet enterprise security, compliance, and governance standards, including data privacy, auditability, and responsible AI practices.
  • This role has a market-competitive salary with an anticipated base compensation range of $129,800.00 - $241,200.00, plus potential bonus opportunities and comprehensive benefits.

Matching Summary

Lead the design, development, and deployment of AI-driven applications for enterprise use cases such as customer engagement, workflow automation, and decision support.

Salary

Base: $129,800.00 - $241,200.00; Bonus/Equity: Performance-based bonus opportunities; Benefits: Medical, Dental, Vision Insurance, Telehealth, Flexible work schedules, Development opportunities, Open Time Off, 401(k) matching, Adoption Assistance, Fertility treatments

Skills & Requirements

Must-have

  • enterprise-grade AI applications
  • AI Services platform
  • Python, Java, and/or JavaScript/TypeScript
  • deploying AI/ML models into production
  • cloud platforms (AWS, Azure, GCP)
  • container orchestration (Kubernetes, Docker)
  • distributed systems integration patterns

Nice-to-have

  • LLM-based application frameworks
  • MLOps practices
  • data governance and compliance
  • vector databases and RAG
  • multi-tenant, global-scale environments

Key Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or related field
  • 5+ years enterprise software development
  • 2+ years working with AI/ML applications
  • Proven experience deploying AI/ML models into production systems at enterprise scale
  • Familiarity with cloud platforms and container orchestration tools

Work Rights

Not specified

Tailored Resume

Cover Letter