Senior Ai Developer (llm/vlm/agent Applications)

Autodesk

Canada
Base: $123,000 - $180,400 cad; bonus/equity: annua...
Hybrid
Llmops and agentops practices
Llm/vlm and agent-based architectures
Python and another programming language
Develop and enhance AI applications using pre-trained or existing models (LLMs, VLMs, 3D CAD models) and ensure the seamless integration of AI components into larger software systems

Job Summary

  • Develop and enhance AI applications using pre-trained or existing models (LLMs, VLMs, 3D CAD models) and ensure the seamless integration of AI components into larger software systems.
  • Implement and optimize LLMOps and AgentOps practices, identify opportunities to streamline processes, automate workflows, and improve research and development velocity.
  • The team is hybrid-remote, located across Canada and the US, and plays a critical role in the Autodesk AI strategy.

Matching Summary

Develop and enhance AI applications using pre-trained or existing models (LLMs, VLMs, 3D CAD models) and ensure the seamless integration of AI components into larger software systems.

Salary

Base: $123,000 - $180,400 CAD; Bonus/Equity: annual cash bonuses, stock grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • LLMOps and AgentOps practices
  • LLM/VLM and agent-based architectures
  • Python and another programming language
  • MLOps/DevOps in production
  • complex codebases development

Nice-to-have

  • advanced agent frameworks
  • observability frameworks experience
  • retrieval-augmented generation
  • context engineering for AI models
  • reliable and scalable inference APIs
  • CI/CD pipelines for ML
  • containerization technologies expertise
  • cloud data processing experience
  • web applications and APIs development
  • Infrastructure as Code implementation
  • MLOps security best practices
  • inference accelerator tools
  • CAD software experience

Key Requirements

  • 3-5 years of experience in MLOps/DevOps
  • Degree in Data Science, Computer Science, Statistics, or related field
  • Proficient in Python
  • Self-starter with problem-solving initiative
  • Adaptable to changing requirements

Work Rights

Not specified

Tailored Resume

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