Position overview As a global leader in 3D design, engineering, and entertainment software, Autodesk helps people imagine, design, and create a better world. Autodesk accelerates better design through an unparalleled depth of experience and a broad portfolio of software, empowering customers to solve complex design, business, and environmental challenges. From designers, architects, and engineers to media professionals, educators, and creators, Autodesk enables innovation at scale through powerful and user-friendly technologies.

Are you excited about solving cutting-edge challenges at the intersection of AI, systems engineering, and scalable platforms used by millions worldwide? Come join us at Autodesk! Autodesk's Growth Experience Technology (GET) organization is seeking a passionate Agentic AI Engineer (Contract) to help design and build production-grade agentic AI systems that power analytics, incident investigation, experimentation, and workflow automation.

You will be part of a high-performing team of engineers working on nextgeneration AI-driven platforms that directly impact customer experience and business outcomes. This is a hands-on engineering role where you will contribute to building and operating real-world agent systems at scale. You will work on a centralized agent orchestration platform with MCP integrations and reusable workflows, collaborating closely with engineers, product managers, and platform teams to deliver robust, scalable, and intelligent systems.

If you have experience building production-ready AI systems (beyond prototypes) and are passionate about shaping the future of intelligent automation and developer platforms, this role offers an chance to make a meaningful impact on one of Autodesk's key transformation initiatives.

What We Are Not Looking For

We want to be upfront about what won't be a good fit:

- Candidates with only:



o Course-based or certification-level AI knowledge o Prompt engineering demos without real system integration o Hackathon or prototype-only agent implementations • Experience limited to "LLM wrappers" without deeper orchestration, scalability, or system design Responsibilities The selected engineers will:
- Design and build agentic workflows and orchestration systems • Implement multi-agent coordination and task decomposition • Build and integrate MCP servers, APIs, and tool ecosystems • Develop RAG-based, context-aware agent systems • Deploy and operate agents in production environments (with focus on scale, reliability, and observability) Typical use cases include:
- Incident investigation agents • Funnel analytics and insights agents • Testing and validation agents • Experimentation and personalization agents Must-Have Experience 1.

Production Agent

Systems • Proven experience delivering production-grade agent systems • Demonstrated exposure to: o Real users and real workloads o Monitoring, logging, and failure handling o Performance optimization 2.

Agentic

Orchestration • Hands-on experience with frameworks such as: o LangGraph, CrewAI, Semantic Kernel, or similar/custom systems • Strong understanding of: o Task planning and execution graphs o Multi-step reasoning workflows o Tool selection and chaining 3. MCP &

- Tooling Ecosystem • Experience building or integrating: o MCP servers o Tool registries o API-driven tool usage within agents 4. RAG &
- Context Engineering • Experience designing retrieval pipelines • Familiarity with: o Context window management o Short-term and long-term memory strategies o Vector databases (e.g., Pinecone, Weaviate, FAISS) 5. Backend &
- Platform Engineering • Strong engineering fundamentals in: o Python, Node.js, or Java o Microservices architecture o Distributed systems 6. Cloud &
- Production Infrastructure • Experience deploying systems on: o AWS, Azure, or GCP • Hands-on with: o Kubernetes o Observability (logs, metrics, tracing) o CI/CD pipelines Good-to-Have Experience in: o AI for incident analysis or debugging o AI-driven testing automation o Experimentation platforms or personalization engines • Exposure to: o Event-driven architectures o Streaming systems

📌 Agentic AI Engineer (Uttar Pradesh)
🏢 Sparix Global
📍 Uttar Pradesh