About the role

Applied AI Engineer role at Autodesk, focusing on building and operationalizing applied AI and ML systems. Collaborating with teams to deliver reliable, production-grade capabilities.

Responsibilities

Contribute to the design and delivery of applied AI systems that are production-ready, reliable and maintainable, with guidance from senior engineers
Implement and improve components supporting agent integration, agent stores and observability of agent performance
Assist in evaluating and prototyping model approaches, including LLM integrations, retrieval-augmented generation, hybrid model architectures and agentic components
Follow established standards for agent and model governance, responsible AI, bias detection, explainability and data privacy
Participate in code reviews, technical design reviews and team discussions; incorporate feedback to improve engineering quality and maintainability
Collaborate with product and UX partners to translate product goals into technical tasks, success metrics and experiment plans
Document technical decisions, implementation details and learnings, and communicate progress and risks to the team

1 to 2 years of experience in software engineering, ML engineering, or related fields, including internships, co-ops, or full-time industry experience
Strong programming fundamentals and experience in at least one of C++ or TypeScript for integration points with desktop or web products
Exposure to applied ML concepts and workflows, including model evaluation, experimentation, and deploying or integrating ML components into software systems
Familiarity with integrating and evaluating third-party models or LLMs, including basic prompt engineering and an understanding of RAG patterns and safety considerations
Interest in building low-latency systems and learning how to integrate ML into product surfaces for real-time inference
Ability to reason about software quality, performance, reliability and security, and to apply best practices with support from mentors
Clear communication skills and ability to collaborate with product and engineering stakeholders as part of a cross-functional team
Bachelor’s degree in Computer Science, Engineering or related field, or equivalent experience