Educational Requirements

Bachelor of Engineering,BTech,BSc,BCA,MTech,MSc,MCA

Service Line

Data Analytics Unit

Responsibilities

We are seeking a skilled Python Developer with AWS Bedrock expertise to design and build Generative AI-powered applications on AWS.
The ideal candidate will work on LLM integration, API development, and scalable AI solutions, leveraging AWS cloud services.
Generative AI AWS Bedrock
Develop and deploy AI applications using AWS Bedrock (LLMs and foundation models)
Integrate models such as Anthropic Claude, Amazon Titan, etc.
Design and optimize prompt engineering strategies
Build use cases like:ChatbotsDocument summarizationQA systems (RAG)Recommendation engines
Python Development
Build backend services using Python (FastAPI, Flask)
Develop APIs to integrate AI models into applications
Create reusable modules and services for AI workflows
Cloud Development (AWS)
Work with AWS services:Lambda (serverless)API GatewayS3 (storage)DynamoDB / RDSIAM VPC
Design scalable, secure cloud-native architectures
Data AI Pipeline Development
Build RAG (Retrieval-Augmented Generation) pipelines
Integrate with:Vector databases (Pinecone, FAISS, OpenSearch)
Data sources and APIs
Handle preprocessing, embedding, and inference workflows
DevOps Deployment
Implement CI/CD pipelines using:GitHub Actions / Jenkins / AWS CodePipeline
Deploy AI applications using Docker (preferred)
Monitor systems using CloudWatch, X-Ray
Security Governance
Implement secure access to Bedrock models using IAM policies
Ensure data privacy and compliance
Protect APIs and manage authentication/authorization

Technical and Professional Requirements:

Primary skills: Technology->AWS Bedrock, python

Preferred Skills:

Technology->OpenSystem->Python - OpenSystem->Python
Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock)

Python-AWS Bedrock Developer

Job Description