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Senior AI Developer (LLM/VLM/Agent Applications)
Senior AI Developer (LLM/VLM/Agent Applications)Autodesk • Vancouver, Metro Vancouver Regional District, CA
Senior AI Developer (LLM / VLM / Agent Applications)

Senior AI Developer (LLM / VLM / Agent Applications)

Autodesk • Vancouver, Metro Vancouver Regional District, CA
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Overview

The Fusion Machine Learning team is a multi-disciplinary team of engineers and researchers developing AI / ML solutions to solve some of the biggest problems in 3D design, manufacturing, and mechanical engineering. We are seeking a Senior AI Developer who is experienced and passionate about leveraging LLMOps and AgentOps practices to build and scale AI applications integrating LLMs / VLMs and agent-based architectures.

You will collaborate with researchers and engineers to continuously improve the data, training, and release pipelines by automating repositories to ensure quality and interoperability with deployment systems and upgrading prototype code to run on large cloud-based ML training infrastructure.

You will report to the Fusion Platform ML manager and play a critical role in Autodesk's AI strategy. The team is hybrid-remote, located across Canada and the US.

Responsibilities

  • AI Application Development : 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
  • End-to-End System Integration : Build and integrate end-to-end systems and applications, focusing on system design, user experience, and application logic
  • LLMOps and AgentOps : Implement and optimize LLMOps and AgentOps practices
  • Automation and Operational Efficiency : Identify opportunities to streamline processes, automate workflows, and improve research and development velocity
  • Best Practices and Governance : Advocate for and establish best practices in code quality, infrastructure maintenance, model governance, security, and compliance
  • Design and Collaboration : Participate in design discussions with software architects and researchers, ensuring smooth transitions from research to production. Collaborate with diverse cross-functional teams including product managers and UX designers

Minimum Qualifications

  • Degree in Data Science, Computer Science, Statistics, or a related field, or equivalent professional experience
  • Proficient in Python and at least one other widely used programming language (e.g., C++, Java, JavaScript, etc.)
  • 3-5 years of experience in MLOps / DevOps in a production environment
  • Experience with industry best practices for developing and maintaining complex codebases
  • Self-starter with the initiative to find solutions and solve problems independently
  • Comfortable adapting to changing requirements and working in ambiguous areas
  • Ability to break down large problems into smaller components and provide clear solutions
  • Preferred Qualifications

  • 8+ years of experience in software development
  • Agent-Based Frameworks and Tools : Familiarity with advanced frameworks such as LangFlow, LlamaIndex, LangGraph, and agent-based frameworks. Experience with agent / LLM / multi-component pipeline evaluations
  • Observability Frameworks : Experience with observability frameworks like Arize, Comet, Phoenix, Langfuse, MLflow, RAGAS, Dynatrace etc.
  • Retrieval-Augmented Generation : Experience leveraging RAG techniques
  • Context Engineering : Experience with context engineering for enhancing AI model performance
  • Experience building reliable and scalable inference APIs (e.g., Flask, FastAPI)
  • Proficiency with CI / CD pipelines for machine learning projects
  • Expertise in containerization technologies (e.g., Docker, Kubernetes) for orchestrating and scaling ML applications
  • Experience with AI platforms like Databricks, SageMaker, Vertex AI, etc.
  • Experience with cloud data processing, training, deployment, or operations (e.g., AWS, GCP)
  • Experience developing web applications and APIs
  • Experience implementing Infrastructure as Code (IaC) using Terraform
  • Security best practices in MLOps, including data encryption, access controls, and compliance
  • Familiarity with inference acceleration tools (ONNX, TensorRT, Triton) is a plus
  • Experience with CAD software or in the design and manufacturing industries is a plus
  • Familiarity with ML / DL and statistical modeling libraries (e.g., PyTorch, TensorFlow, Pandas, SciKitLearn, PySpark)
  • About Autodesk

    Welcome to Autodesk! We create software that helps people turn ideas into reality—from sustainable buildings to smart factories and blockbuster movies. Our culture guides how we work, how we treat each other, and how we engage with customers and partners. Autodesk is a place to do meaningful work that contributes to a better world.

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