Senior Software Engineer, Applied AI (IC)

PrizePicks

WorldwideFully remoteFull TimeSeniorInformation Technology
USD 175,000–185,000 a yearPosted 11h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 11 hours ago · apply link checked 5 hours ago

About the role

Responsibilities

  • Build agent platforms and internal tooling including orchestration, tool calling, and evaluation harnesses
  • Operationalize AI within the software development lifecycle to assist with code reviews and test generation
  • Design and implement RAG patterns, structured extraction, and production inference workflows
  • Own end-to-end AI feature delivery from prototype to production monitoring
  • Mentor engineers and establish best practices for AI reliability, safety, and observability

Requirements

  • 6+ years of professional software engineering experience shipping production systems
  • Direct experience on an Applied AI or product AI team building LLM/ML features
  • Strong backend and system design skills (APIs, distributed systems, observability)
  • Proven ability to navigate ambiguity and drive outcomes with cross-functional partners
  • Experience mentoring peers and improving engineering quality

Preferred Qualifications

  • Experience building platform capabilities like SDKs or internal developer frameworks
  • Practical experience with embeddings, search/retrieval, and model monitoring
  • Familiarity with inference constraints such as latency, cost, and caching

Benefits

  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO
  • 16-week paid parental leave and disability benefits
  • Company equipment provided (Windows & Mac options)

About the Company

PrizePicks is a leading Daily Fantasy Sports platform in North America, covering a diverse range of sports leagues including the NFL, NBA, and Esports.

What we look for

  • 6+ years software engineering experience
  • Applied AI/Product AI team experience
  • Strong backend/system design skills
  • Experience shipping production systems
PythonMachine LearningLLMRAGSystem design
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