Senior AI Software Developer

🕒 5 days ago

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• Design, build, and operate production-grade agentic personalization systems that adapt to user behavior and context • Research, develop and implement ML models using Transformers, LLMs, and classical ML algorithms for search and recommendation use cases • Be proficient in agentic frameworks (e.g., LangGraph) and building systems that orchestrate multi-step reasoning, tool use, and decision-making workflows • Be proficient in optimized inference engines/frameworks like vLLM, TensorRT • Productionize ML- and LLM-powered workflows, including inference services, orchestration, monitoring, and iteration • Build agentic systems that leverage agent memory, retrieval-augmented generation (RAG), and tool ecosystems/APIs to deliver context-aware personalization and recommendations • Build and evolve data and feature pipelines that power personalization, experimentation, and feedback loops • Develop robust methods to evaluate LLM performance, ensuring ethical AI practices • Monitor and improve deployed models based on real-world performance metrics and customer feedback • Collaborate with cross-functional teams including engineering, product management, and operations to translate research into production systems

🎯 Requirements

• BS or MS in Computer Science, Engineering, or a related field • 6 or more years of professional software engineering experience, including ownership of production systems • Strong experience building AI systems in cloud environments, AWS preferred • Hands-on experience delivering AI, ML, or LLM-powered systems into production • Experience with AI agents, orchestration frameworks, or hybrid reasoning systems • Experience with MLOps practices, experimentation frameworks, and model monitoring • Proficiency in one or more programming languages such as Python, Java, or equivalent • Experience working with data systems including RDBMS, NoSQL, data warehouses, and streaming platforms • Strong understanding of system design, scalability, and operational excellence • Ability to work autonomously while collaborating effectively across engineering, product, and data teams • Excellent communication skills and ability to influence technical decisions • Experience building personalization, recommendation, or insight platforms • Experience with real-time or event-driven architectures • Exposure to AI governance, privacy, or safety considerations at scale • Experience mentoring Junior engineers or acting as a technical lead on complex initiatives

🏖️ Benefits

• Annual cash bonuses • Stock grants • Comprehensive benefits package