Python Developer with AWS Bedrock and Generative AI Expertise

Python-AWS Bedrock Developer

• Primary skills:Technology->AWS Bedrock, python 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. Key Responsibilities 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 Q&A 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 Required Skills & Qualifications Core Skills 3–6 years of experience in Python development Hands-on experience with AWS (mandatory) Exposure or experience with AWS Bedrock / Generative AI Programming Strong proficiency in: Python REST API development Experience with: FastAPI / Flask JSON, API integrations Cloud & AI Skills Strong understanding of: Serverless architecture LLM-based applications Familiarity with prompt engineering and RAG concepts AWS Services Lambda, API Gateway S3, DynamoDB/RDS IAM, VPC Preferred Qualifications Experience with LangChain / LlamaIndex Knowledge of vector databases (FAISS, Pinecone, OpenSearch) AWS Certifications (Solutions Architect / AI Specialty – preferred) Experience with Terraform (IaC)