Senior Data Engineer - AI Engineer

- Translate business requirements into scalable and well-documented ML pipelines and AI solutions using Databricks, Azure AI, and Snowflake.
- Architect and implement scalable GenAI solutions using Azure/ GCP AI, Databricks, and Snowflake
- Develop and deploy agentic workflows using LangChain, LangGraph, and OpenAI Agents SDK for autonomous task execution.
- Lead experimentation and fine-tuning of LLMs (e.g., GPT-4, Claude, LLaMA 2) for enterprise use cases such as summarization, personalization, and content generation.
- Integrate GenAI models into business applications with Human-in-the-Loop (HITL) validation and feedback loops.
- Build and maintain MLOps/LLMOps pipelines using MLflow, ONNX, and Unity Catalog for reproducibility and governance.
- Monitor model performance and ensure responsible AI operations through observability tools like OpenTelemetry and Databricks AI Gateway.
- Stay current with GenAI and LLM advancements, including frameworks like LangChain, LlamaIndex, and Gemini, and apply them to enterprise use cases.

Requirements

Basic Qualifications

- Bachelor or Master degree in Computer Science, Engineering, or related field.




- 58 years of experience in AI/ML engineering, with at least 2 years focused on GenAI and LLMs.
- Proven experience deploying agentic AI systems in production environments.
- Solid understanding of NLP, deep learning, and multi-modal AI (text, image, audio).
- Experience with enterprise-grade AI governance and security practices.

Preferred Qualifications

- Languages: Python, SQL, PySpark
- Agent frameworks: LangChain, LangGraph, Hugging Face, OpenAI SDK, Gemini
- GenAI Tools: Azure AI Foundry, Vertex AI, Databricks AI
- MLOps/LLMOps: MLflow, ONNX, Unity Catalog
- Data Platforms: Databricks, Snowflake, Data Lake, Knowledge graphs
- Understanding of AI governance, including model explainability, fairness, and security (e.g., prompt injection, data leakage mitigation).

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.

📌 Senior Data Engineer - AI Engineer (Chennai)
🏢 Staples India
📍 Chennai