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 experienceProficient 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 environmentExperience with industry best practices for developing and maintaining complex codebasesSelf-starter with the initiative to find solutions and solve problems independentlyComfortable adapting to changing requirements and working in ambiguous areasAbility to break down large problems into smaller components and provide clear solutionsPreferred Qualifications
8+ years of experience in software developmentAgent-Based Frameworks and Tools : Familiarity with advanced frameworks such as LangFlow, LlamaIndex, LangGraph, and agent-based frameworks. Experience with agent / LLM / multi-component pipeline evaluationsObservability Frameworks : Experience with observability frameworks like Arize, Comet, Phoenix, Langfuse, MLflow, RAGAS, Dynatrace etc.Retrieval-Augmented Generation : Experience leveraging RAG techniquesContext Engineering : Experience with context engineering for enhancing AI model performanceExperience building reliable and scalable inference APIs (e.g., Flask, FastAPI)Proficiency with CI / CD pipelines for machine learning projectsExpertise in containerization technologies (e.g., Docker, Kubernetes) for orchestrating and scaling ML applicationsExperience 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 APIsExperience implementing Infrastructure as Code (IaC) using TerraformSecurity best practices in MLOps, including data encryption, access controls, and complianceFamiliarity with inference acceleration tools (ONNX, TensorRT, Triton) is a plusExperience with CAD software or in the design and manufacturing industries is a plusFamiliarity 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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