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Senior AI Engineer

📅 Apr 16
LLM IntegrationAI Features DevelopmentRAG PipelinesPython

📜 Description

  • Design, build, and maintain production-grade LLM integration pipelines, including retrieval-augmented generation (RAG) and prompt engineering.
  • Develop and operate AI features for spend categorization, document extraction, anomaly detection, and automated reconciliation.
  • Implement structured output validation and confidence scoring to ensure AI decisions meet reliability standards.
  • Evaluate and integrate AI frameworks and tools, advocating for the right solutions.
  • Collaborate with data scientists to transition ML models from experimental to production environments.

🛠️ Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
  • 5+ years of professional software engineering experience, with at least 3 years focused on AI/ML systems in production.
  • Hands-on experience building and deploying LLM-powered applications using APIs like OpenAI or Anthropic.
  • Experience designing and operating RAG pipelines and vector database integration.
  • Strong proficiency in Python for AI/ML workloads and familiarity with AI orchestration frameworks.
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