Senior AI Engineer

Overview

Senior AI Engineer to design and deliver GenAI solutions using LLMs, copilots, and agents for automation, knowledge access, and decision-making.

What you'll do

• Develop and optimize prompt engineering strategies including templates, chaining, tool use, and RAG grounding.
• Build and deploy LLM-powered applications using enterprise structured and unstructured data.
• Integrate applications with APIs, vector databases, and knowledge systems.
• Implement evaluation, monitoring, and guardrails addressing hallucinations, bias, response quality, and performance.
• Ensure GenAI implementations are responsible, secure, and scalable with governance and monitoring.

What you'll need

• Hands-on experience designing and deploying GenAI solutions on AWS and Azure.
• Experience with Azure OpenAI, AWS Bedrock, and Azure Machine Learning.
• Strong expertise in prompt engineering, RAG architectures, embeddings, and vector databases (e.g., Databricks Vector Search, FAISS).
• Proficiency with Databricks (Spark, Delta Lake) for data preparation and integration.
• Experience with Azure DevOps and GitHub for CI/CD and GenAI application lifecycle management.
• Experience with AI/LLM evaluation frameworks including prompt/response evaluation and hallucination detection.

Details

• Location: Bengaluru, KA.