Software Engineer (Context Graph, AI/ML)

Job Requisition ID #

26WD99880

Position Overview

We are looking for an AI/ML Software Engineer for the Search & Context Graph (CG) Platform within Autodesk Platform Services. In this role, you will help build intelligent AI systems that power search experiences and Context Graph capabilities across Autodesk's Industry Clouds - Fusion, Forma and Flow. You will focus on model evaluation, inferencing infrastructure, and AI automation to advance the intelligence of our platform.

Roles and Responsibilities

• Build and maintain ML model evaluation frameworks to assess quality, relevance, and performance of AI models used in search and Context Graph systems
• Develop and operate model inferencing pipelines to serve AI/ML models at scale with low latency and high reliability
• Implement AI automation workflows to accelerate development, testing, and deployment of ML-powered features
• Collaborate with Search and Context Graph engineering teams to integrate AI/ML capabilities into scalable, distributed microservices
• Contribute to vector embedding pipelines and semantic search features that enhance relevance and user experience
• Partner with Sr. Engineers, Leads, and Engineering Managers to design and implement AI/ML technical solutions
• Work with SREs to meet SLAs of AI-powered services with monitoring, troubleshooting and optimizations
• Participate in on-call rotation and help in detection and recovery of production incidents

• BS or MS in Computer Science, Machine Learning, or related field
• 2-4 years of experience building and running ML systems or AI-powered applications
• Strong machine learning fundamentals: model training, evaluation, inference, and deployment
• Proficiency in Python for ML engineering and data pipelines
• Experience with LLM APIs, prompt engineering, and working with foundation models
• Hands-on experience with vector databases (e.g. Pinecone, Weaviate, pgvector) or embedding-based retrieval systems
• Experience with Cloud infrastructure platforms such as AWS (e.g. SageMaker, Lambda, ECS)
• Familiarity with ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers

• Experience building RAG (Retrieval Augmented Generation) architectures
• Exposure to Context Graph technologies and graph databases (e.g. Neo4j, Neptune)
• Experience with Information Retrieval and hands-on knowledge of Lucene/ElasticSearch/OpenSearch
• Familiarity with MLOps tools and pipelines (e.g. MLflow, Kubeflow, SageMaker Pipelines)
• Familiarity with AI evaluation frameworks (e.g. RAGAS, LangSmith, HELM)
• Experience in monitoring and improving reliability of AI/ML systems at scale
• Aware of Security and Compliance challenges in Cloud AI products and platforms

• Strong communicator. You enjoy synthesizing, simplifying, and articulating complex AI/ML problems to others
• A team-player, with a result-focused passion to deliver intelligent solutions that improve user experiences
• You embrace perpetual learning in the rapidly evolving AI/ML landscape and are always ready for a new challenge