Generative AI Engineer

JOBDESCRIPTION – AI/ML Engineer (2-4 years)

Job location – Bangalore/Coimbatore – Work from Office – 5days What is the role about? We are seeking a passionate and skilled Senior GenAI Engineer to join our GenAI organization

This role focuses on building scalable GenAI and Agentic AI solutions using AWS cloud-native services, RAG architectures, and enterprise-grade orchestration workflows. The ideal candidate will have hands-on experience with LLM-based development, agentic frameworks, and AWS Bedrock.

What you will do

Design & Development Design and develop advanced GenAI solutions including: Retrieval-Augmented Generation (RAG) Agentic AI workflows (single-agent and multi-agent systems) Tool-calling and agent-to-agent orchestration Text-to-SQL, IDP (Intelligent Document Processing) Summarization, text generation, and multimodal use cases Build scalable GenAI services using: Amazon Bedrock (mandatory) LangChain, LangGraph, AgentCore Hugging Face APIs AWS cloud services (Lambda, API Gateway, S3, DynamoDB, Step Functions) Develop backend services and pipelines using Python (FastAPI/Flask).

What you will need to have

Mandatory Experience 2 to 4 years of overall engineering experience. Minimum 1 year of hands-on GenAI project experience. Mandatory Agentic AI experience, including: Multi-agent orchestration Tool-calling workflows Agent reasoning and state management Strong hands-on experience with AWS Cloud, including: Amazon Bedrock Lambda, API Gateway, S3, DynamoDB Step Functions / Event-driven architectures (preferred)

Practical experience with:

LangChain, LangGraph, AgentCore Vector databases (Pinecone, Weaviate, Chroma, Milvus) Technical Skills Strong Python development experience. Experience building scalable backend systems and microservices.