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.