Senior Software Development Engineer - GenAI in Bangalore, भारत

About the Role:We are looking for an experienced Senior Software Development Engineer - GenAI to join our engineering team in https://jobeax.com/link/bVqw89Vph1Fc9QgE ideal candidate will have strong hands-on experience in Python, Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG), along with expertise in building and deploying scalable AI solutions on https://jobeax.com/link/FjUoEPg34ABX4bRx will work on designing and developing production-grade GenAI applications, intelligent systems, and cloud-native solutions while collaborating closely with engineering and product https://jobeax.com/link/ZlR3JZToBtLJKlA9 Responsibilities:- Design, develop, and deploy Generative AI applications and intelligent solutions using Python and modern AI/ML technologies.- Build and optimize LLM-powered applications, workflows, and services for enterprise use cases.- Design and implement RAG-based systems for knowledge retrieval, contextual generation, and intelligent search.- Integrate and work with foundation models and Amazon Bedrock to build scalable GenAI applications.- Develop robust backend services and APIs using Python.- Design cloud-native and serverless architectures using AWS services.- Work extensively with AWS services including Lambda, DynamoDB, Amazon Bedrock, CloudWatch, and CloudFormation.- Develop data pipelines and retrieval workflows to support RAG and LLM-based applications.- Implement prompt engineering, context management, model evaluation, and optimization techniques.- Build monitoring, logging, and observability mechanisms for AI applications using Amazon CloudWatch.- Design scalable and reliable production architectures for GenAI workloads.- Collaborate with product managers, software engineers, and other stakeholders to translate business requirements into AI-driven solutions.- Troubleshoot and optimize application performance, reliability, latency, and scalability.- Conduct code reviews and contribute to engineering standards, architecture decisions, and technical documentation.- Stay current with emerging developments in Generative AI, LLMs, RAG, AI agents, and cloud-based AI https://jobeax.com/link/pNYMYAcVgoA9do1S Skills:- 5+ years of experience in software engineering, AI engineering, ML engineering, or a related field.- Strong hands-on programming experience with Python.- Strong understanding of Generative AI and Large Language Models (LLMs).- Practical experience designing and implementing RAG architectures and applications.- Experience with LLM APIs, foundation models, prompt engineering, and model integration.- Hands-on experience with Amazon Bedrock or similar managed GenAI platforms.- Strong experience with AWS cloud services, particularly: AWS Lambda, Amazon DynamoDB, Amazon Bedrock, Amazon CloudWatch, and AWS CloudFormation.- Experience building and deploying scalable, production-grade AI applications.- Strong understanding of APIs, backend services, cloud-native architectures, and distributed systems.- Experience with monitoring, logging, debugging, and production support.- Strong problem-solving and analytical skills.Education:- B. Tech / B. E. in Computer Science, Information Technology, Artificial Intelligence, or a related engineering discipline.- Graduates from Tier-1 engineering institutes preferred. (ref:hirist.tech)