Senior engineers evaluating AI coding - agent interactions for G2i. Providing rigorous feedback on reasoning, explanations, and engineering judgment.
About the role
- Senior AI Software Developer at Autodesk managing the design and development of AI-powered personalization systems. Building cloud-native platforms for intelligent user experiences.
Responsibilities
- 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
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