Senior AI Engineer

Sporty

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Develop and enhance AI-powered features across existing products
  • Integrate and maintain LLMs and AI services within production applications
  • Implement conversational AI, AI voice and intelligent workflow capabilities
  • Build and optimize RAG pipelines and agent workflows
  • Integrate AI capabilities with internal systems and external services
  • Monitor, troubleshoot and resolve AI-related production issues
  • Improve application performance, reliability, latency and operational costs
  • Collaborate with Product Managers and AI Scientists to improve AI quality and user experience
  • Evaluate and adopt new AI technologies
  • Maintain technical documentation and contribute to architecture discussions

Requirements

  • 5+ years of software engineering experience
  • Experience developing production AI applications using LLM
  • Strong proficiency in Python
  • Experience integrating AI APIs such as OpenAI, Anthropic or Google Gemini
  • Experience with RAG architectures and modern AI frameworks
  • Strong understanding of software architecture and distributed systems
  • Ability to independently investigate and resolve complex production issues
  • Excellent communication and stakeholder management skills

Benefits

  • Remote-first culture
  • Competitive salary plus quarterly performance-based bonuses
  • 28 days paid annual leave
  • Flexible working hours around core 10am-3pm window
  • Referral and flash bonuses
  • Top of the line equipment
  • Annual company retreats

About the Company

Sporty is a remote-first company in pursuit of sustainability.

Skills & tools

PythonLLMRAG

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years software engineering experience
  2. 02Production AI application development with LLM
  3. 03Proficiency in Python
  4. 04Experience with OpenAI, Anthropic, or Google Gemini APIs
  5. 05Experience with RAG architectures
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