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.
Requirements
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).
Skills Required
Test Driven Development, Azure Data Factory, snowflake , Databricks, gemini
Software Engineer Ai • Chennai, India