Senior AI Engineer

Numos AI

$130K — $180K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI engineering or related field
  • Proficiency in Python, particularly with frameworks like PyTorch or TensorFlow
  • Hands-on experience with large language models (LLMs) and generative AI systems
  • Understanding of AI agent frameworks and orchestration methodologies
  • Demonstrated ability to integrate AI solutions in enterprise software settings

Responsibilities

  • Build and deploy AI systems for outcome-focused automation
  • Develop workflows that utilize planning and reasoning to execute tasks
  • Integrate large language models into production with reliability and control
  • Work with both structured and unstructured data to enhance business relevancy
  • Collaborate with product teams to deliver comprehensive end-to-end AI capabilities

Benefits

  • Opportunity to pioneer AI technologies in finance
  • Engagement in cutting-edge projects with real-world impact
  • Collaborative work environment fostering innovation
  • Professional development and growth opportunities
  • Access to the latest AI tools and technologies
Full Job Description
We're looking for a Senior AI engineer to build the core intelligence behind AI teammates for finance. You'll develop systems that go beyond copilots and actually execute work, combining reasoning, context, and action inside real enterprise workflows.

What you'll do
  • Build and deploy AI systems that power outcome-driven automation
  • Develop agentic workflows that can plan, reason, and take action across systems
  • Integrate LLMs into production environments with reliability and control
  • Work with structured and unstructured data to ground models in real business context
  • Partner with product to ship end-to-end capabilities

What we're looking for
  • Experience working with LLMs and generative AI systems
  • Strong Python skills with frameworks like PyTorch or TensorFlow
  • Familiarity with AI agent frameworks and orchestration patterns
  • Experience integrating AI into enterprise software environments

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