RRemoteville
TaskRay logoTaskRay

Senior AI Engineer

Skills
ContextCraftsCustomer ServiceCustomer SuccessLarge Language ModelsPipelinesPython
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Shipped LLM-based features to production users
  • Hands-on experience with retrieval pipelines agent loops tool use and evals
  • Strong Python proficiency with production deployment experience
  • Experience integrating LLM provider APIs into real applications
  • Experience with prompt iteration cost engineering and latency engineering
  • Strong written communication skills
  • Ability to explain technical decisions clearly

Nice to have

  • Model Context Protocol experience
  • Curiosity about Salesforce
  • Agentic coding workflow experience
  • Comfort in customer-facing technical contexts

Day to day

  • Build production AI agents that automate real implementation work for enterprise onboarding teams using TaskRay's platform
  • Design prompts agent loops retrieval pipelines tool integrations and evals that deliver customer-grade reliability
  • Collaborate with design partner customers Product and internal engineers to turn custom workflows into reusable product capabilities