Software Development Engineer 1
About the job
Job Description
As a Software Development Engineer, you will join the Engineering & DevOps Services (EDS) team within AI, Data & Automation (AIDA) at Autodesk. Our team drives the Enterprise AI Strategy by building and operationalising the Enterprise AI Fabric, enabling intelligent search, LLM-powered workflows, and AI-driven agents across Autodesk.
We are seeking a Software Development Engineer I to join our AI, Data & Automation team, focused on building next-generation AI platforms. In this role, you will work on AI Agent Frameworks, Model Context Protocols (MCPs), and AI-enabled search solutions, while integrating and experimenting with multiple LLMs. You will contribute to operationalizing AI platforms with a focus on scalability, reliability, and governance.
Responsibilities as an Individual Contribute to the design, development, and implementation of AI Agent Frameworks. Work on integrating and experimenting with multiple LLMs for enterprise-scale use cases. Assist in operationalising AI platforms, ensuring scalability, reliability, and governance. Build and extend Model Context Protocol (MCPs) to standardise AI interactions across systems. Contribute to AI-enabled search solutions (retrieval, ranking, semantic search, vector databases, RAG pipelines). Write clean, testable, and maintainable code aligned with engineering best practices. Collaborate with peers and senior engineers to deliver platform features and improve developer experience. Stay up to date with emerging AI frameworks, tools, and technologies, and share learnings with the team.
Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 0-2 years of work experience. Strong programming skills in Python, Java, or similar languages. Hands-on experience with LLMs, Agents, and/or MCPs through academic projects, internships, open-source contributions, or hackathons. Exposure to AI-enabled search solutions and underlying technologies such as: Vector databases (e.g., Pinecone, Weaviate, FAISS) RAG pipelines Semantic/embedding-based search Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack). Familiarity with REST APIs, microservices, and cloud platforms (AWS/Azure/GCP). Knowledge of containerization (Docker) and a basic understanding of CI/CD pipelines. Strong problem-solving ability, eagerness to learn, and ability to adapt to rapidly evolving AI technologies. Effective collaboration and communication skills.