Senior AI Developer (LLM / VLM / Agent Applications)

Position Overview

The Fusion Machine Learning team is a multi-disciplinary team of engineers and researchers developing AI / ML solutions to 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 leveragingLLMOpsandAgentOpspractices to build and scale AI applications integrating LLMs / VLMsandagent-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 the Autodesk AI strategy.

The team is hybrid-remote,locatedacross 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

LLMOpsandAgentOps : Implement andoptimizeLLMOpsandAgentOpspractices

Automation and Operational Efficiency : Identifyopportunities to streamline processes, automate workflows, and improve research and development velocity

Best Practices and Governance : Advocate for andestablishbest practices in code quality, infrastructure maintenance, model governance, security, and compliance

Design and Collaboration : Participatein 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 inMLOps / DevOps in a production environment

Experience with industry best practices for developing andmaintainingcomplex 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 asLangFlow,LlamaIndex,LangGraph, and agent-based frameworks. Experience with agent / LLM / multi-componentpipeline evaluations

Observability Frameworks : Experience with observability frameworks likeArize,Comet,Phoenix,Langfuse,MLflow, RAGAS,Dynatraceetc.

Retrieval-Augmented Generation : Experienceleveragingretrieval-augmented generation (RAG) techniques

Context Engineering : Experience with context engineering for enhancing AI model performance

Experience building reliable and scalableinferenceAPIs (e.g., Flask,FastAPI)

Proficiencywith CI / CD pipelines for machine learning projects

Expertisein containerization technologies (e.g., Docker, Kubernetes) for orchestrating and scaling machine learning 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 in implementing Infrastructure as Code (IaC) using tools like Terraform

Understanding ofsecurity best practices inMLOps, including data encryption, access controls, and compliance standards

Familiarity with leveraging inference accelerator tools (ONNX,TensorRT, Triton) for real-time and high throughput inference runtimesis a plus

Experience with CAD software or in the design and manufacturing industries is a plus

Familiarity with machine learning, deep learning, and statistical modeling tools and libraries (e.g.,PyTorch, TensorFlow, Pandas,SciKitLearn,PySpark)

Learn More / Plus d'information

About Autodesk / À propos d’Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires  : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être. Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde. En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous ! Salary transparency / Transparence salariale Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada (Colombie-Britannique), nous proposons un salaire de base compris entre X et X dollars. Les offres sont basées sur l'expérience et la situation géographique du candidat et peuvent dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure des primes annuelles en espèces, des commissions pour les postes commerciaux, des attributions d'actions et un ensemble complet d'avantages sociaux. Diversity & Belonging / Diversité et appurtenance We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here : Nous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici : Are you an existing contractor or consultant with Autodesk? Êtes-vous un sous-traitant ou un consultant existant d’Autodesk ? Please search for open jobs and apply internally (not on this external site).Veuillez rechercher des emplois vacants et postuler à l’interne (pas sur ce site externe).