AI ML Engineer
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Description
Job Summary
Experience
Responsibilities
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Description: Autodesk is seeking an AI/ML Engineer to build enterprise-grade chatbots and intelligent assistants using state-of-the-art LLM technologies. The role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale. You will work closely with Product, Data, and Platform teams to deliver reliable, explainable, and production-ready AI solutions.
Experience
Experience - 5 to 7 years relevant experience.
Responsibilities
- Build LLM-powered chatbots using OpenAI, RAG, tool calling, and agent frameworks (LangChain, LangGraph)
- Design Agent-to-Agent (A2A) architectures for multi-step reasoning and autonomous workflows
- Design retrieval pipelines using vector databases
- Implement hallucination reduction techniques: grounding, re-ranking, citations, confidence scoring
- Work with finance and enterprise datasets ensuring accuracy and governance
- Deploy and monitor AI systems using cloud-native and MLOps practices
- Implement CI/CD for AI pipelines and inference services
- Python
- SQL
- LLMs: OpenAI (GPT-4/4.1), Anthropic, Gemini, Llama
- Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns
- RAG Search: embeddings, hybrid search, cross-encoders
- Vector Databases
- Evaluation Observability: LangSmith, MLflow, Weights Biases
- Cloud: AWS
- Data: Snowflake, DBT, structured unstructured data pipelines
- Evaluation: prompt/version management, offline online LLM evaluation
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.