Associate AI Engineer

Role & responsibilities

• Design and implement GenAI-powered solutions using frameworks like LangChain, Hugging Face, and Azure AI Studio.  
• Build agentic workflows for autonomous task execution using LangGraph, OpenAI Agents SDK, and Databricks Genie.  
• Collaborate with cross-functional teams to translate business needs into AI applications with measurable impact.  
• Develop and maintain data pipelines and model deployment workflows using Databricks, Snowflake, and Azure Data Factory.  
• Contribute to model evaluation, prompt engineering, and fine-tuning of LLMs for enterprise use cases.  
• Ensure responsible AI practices through observability, governance, and feedback loops.

Preferred candidate profile

• Experience in Test Driven Development and model evaluation strategies, including offline and online evaluation pipelines.
• Prior work experience in an agile, cross-functional team, collaborating with data scientists, engineers, and product managers.
• Ability to break down complex AI problems, estimate development effort, and deliver scalable solutions.
• Up-to-date knowledge of GenAI and LLM trends, including frameworks like Gemini, LlamaIndex, and LangGraph, and their enterprise applications.
• Understanding of AI governance, including model explainability, fairness, and security (e.g., prompt injection, data leakage mitigation).