> Markdown version of [/jobs/ext/539936-software-developer-applied-ai](https://www.wearedevelopers.com/jobs/ext/539936-software-developer-applied-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Developer, Applied AI - **Company:** BINGHAMTOM UNIVERSITY - **Location:** United States - **Experience:** Expert - **Salary:** $98,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Software Quality, Code Review, Continuous Integration, Cursor (Graphical User Interface Elements), Software Debugging, Python (Programming Language), Machine Learning, Open Source Technology, TypeScript, Large Language Models, Kubernetes, Machine Learning Operations, Autodesk Autocad - **Published:** June 15, 2026 - **Apply:** https://careertools.binghamton.edu/jobs/autodesk-senior-software-developer-applied-ai/ ## About the Role * Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience * 5+ years building cloud-native software in production (distributed systems, APIs, data-intensive services, reliability and operations) * Strong expertise in API design (REST, GraphQL) and service-to-service communication * Practical experience building and operating production applications on AWS/Azure/GCP and modern platform practices (containers, Kubernetes, CI/CD, observability) * Proficiency in Java/Python/Typescript with strong engineering fundamentals (testing, code quality, performance, security) * Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams * Demonstrated experience using AI coding tools to ship production systems, and the engineering judgment to verify and correct AI output (code review rigor, debugging skill, ownership of correctness) Preferred Qualifications * Experience building AI applications in the CAD or manufacturing domain * Hands-on experience of delivering AI/ML-powered system in production . This can include: Traditional ML cloud applications (training pipelines, deployment, monitoring, iteration), and/or LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models). * Experience with MCP or similar standardized patterns for connecting models to tools and context * Familiarity with machine learning algorithms, development lifecycles, and the tools and platforms used to build, deploy, and scale ML systems * Contributions to open-source AI projects or publications in the field ## Description If you love building scalable cloud-native systems that power customer-facing experiences, this role is for you. The Applied AI team in Autodesk's Data and Process Management (DPM) organization ships cloud-native services that power AI agents and AI-driven workflows that make our Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows smarter and easier. This is a hands-on engineering role where you'll design and implement services and integrations. We're looking for a modern builder: Ambitious, Curious, and Practical-someone who has already shipped Scalable, Cloud-Native services to production and wants to level up further. You are not expected to have an AI/ML background-but you will partner closely with AI/ML engineers, and you should be comfortable integrating with AI services and operating them safely in production. AI-assisted engineering (how we deliver): We use modern AI coding agents (e.g., Cursor Agent, Claude Code, Codex or similar) as accelerators for planning, implementation, debugging, and documentation-but you own correctness, security, and maintainability. Responsibilities * Build and operate scalable, secure cloud-native services that support AI-powered product features (APIs, service orchestration, background processing, and integrations) * Contribute to feature design by translating design and product requirements into engineering tasks * Maintain a high standard of code quality by following best practices around testing, code reviews, and design patterns * Partner with AI/ML engineers to integrate Agentic AI features while ensuring production-grade scalability and safety * Partner with product managers, architects, developers, and data scientists to bring AI features to life in Autodesk products * AI-assisted delivery: Use AI coding agents to accelerate delivery of production features and fixes, with rigorous verification (tests, CI, code review) and security-aware usage, * Plus de 5 ans d'expérience dans la création de logiciels cloud natifs en production (systèmes distribués, API, services à forte intensité de données, fiabilité et opérations) * Solide expertise en conception d'API (REST, GraphQL) et en communication de service à service * Expérience pratique dans la création et l'exploitation d'applications de production sur AWS/Azure/GCP et dans les pratiques de plateformes modernes (conteneurs, Kubernetes, CI/CD, observabilité) * Maîtrise de Java/Python/Typescript avec de solides bases en ingénierie (tests, qualité du code, performances, sécurité) * Excellentes compétences en rédaction technique et en communication pour la documentation, les présentations et l'influence sur les équipes interfonctionnelles * Expérience avérée dans l'utilisation d'outils de codage IA pour livrer des systèmes de production, et jugement technique pour vérifier et corriger les résultats IA (rigueur dans la révision du code, compétences en débogage, responsabilité de l'exactitude) Qualifications souhaitées * Expérience dans la création d'applications d'IA dans le domaine de la CAO ou de la fabrication * Expérience pratique de la mise en production de systèmes basés sur l'IA/le ML. Cela peut inclure : les applications cloud ML traditionnelles (pipelines de formation, déploiement, surveillance, itération) et/ou les systèmes basés sur le LLM (RAG, MCP, workflows d'agents, modèles affinés) * Expérience avec MCP ou des modèles standardisés similaires pour connecter des modèles à des outils et à un contexte * Connaissance des algorithmes d'apprentissage automatique, des cycles de vie de développement et des outils et plateformes utilisés pour créer, déployer et faire évoluer des systèmes ML * Contributions à des projets d'IA open source ou à des publications dans ce domaine ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Are Code Reviews Worth It? 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