Python-AWS Bedrock Developer

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: Chatbots, Document summarization, QA 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 Gateway, S3 (storage), DynamoDB / RDS, IAM 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
• Technology - AI - Generative AI - Basic - closed models (aws bedrock)