Experience:7+ Years

Location: Bangalore

Education :PhD.

Principal Engineer | Title: Principal Scientist - AI Research

As the AI Systems Architect, youll own the end-to-end design and delivery of production-grade agentic and Generative AI systems. This is a highly hands-on role requiring deep architectural insight, coding proficiency, and an obsession with performance, scalability, and reliability. Youll architect secure, cost-effective AI platforms on AWS, guide developers through complex debugging and optimization, and ensure all systems are observable, governed, and production-ready.

Required Qualifications
Education: Bachelors/Masters and PhD. from a top-tier institute (IIT/Tier-1) in Computer Science, AI, or related field.




7–10 years in software/AI engineering, including 4+ years in GenAI application development and 2+ years architecting agentic AI systems.
Expert in Python 3.11+ (asyncio, typing, packaging, profiling, pytest).
Hands-on experience with Semantic Kernel, LangGraph, AutoGen, or CrewAI.
Proven delivery of GenAI/RAG systems on AWS Bedrock or equivalent vector-based platforms (OpenSearch Serverless, Pinecone, Redis).
Deep understanding of AWS ecosystem: EKS, Bedrock, S3, SQS/SNS, RDS, ElastiCache, Secrets Manager, IAM/Okta, Kong API Gateway

📌 Principal Scientist Ai Research Bengaluru
🏢 e-Solutions
📍 Bengaluru