AWS Bedrock Developer-Terraform-Python Consultant

Job description

Educational Requirements Bachelor of Engineering,BTech,BCA,BSc,MTech,MSc,MCA Service Line Data Analytics Unit Responsibilities - AWS Bedrock Generative AI Development - Design and develop applications using AWS Bedrock (LLMs, Foundation Models) - Integrate models like Anthropic Claude, Amazon Titan, or other Bedrock-supported models - Build prompt engineering strategies and AI workflows - Implement use cases such as chatbots, summarization, recommendations, and NLP pipelines - Python Development - Develop backend services and APIs using Python (FastAPI, Flask) - Implement AI/ML pipelines and integrate model responses into applications - Build reusable libraries for LLM interaction and automation - Infrastructure as Code (Terraform) - Design and implement cloud infrastructure using Terraform - Build reusable modules for deploying AWS resources - Manage Terraform state and automate deployments via CI/CD - Provision services like Bedrock, Lambda, API Gateway, S3, IAM - AWS Cloud Development - Work with key AWS services: Lambda, API Gateway (serverless apps) - S3 (data storage) - DynamoDB / RDS (data persistence) - IAM VPC (security networking) - Build scalable and secure cloud-native applications - DevOps Automation - Implement CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline - Automate deployments and testing of AI applications - Monitor applications using CloudWatch, X-Ray - Security Governance - Implement secure access to Bedrock models using IAM policies - Ensure compliance, data privacy, and secure prompt handling - Manage API authentication and authorization Required Skills Qualifications - Core Skills - 36 years of experience in Python development / Cloud engineering - Hands-on experience with AWS (mandatory) - Experience or exposure to AWS Bedrock / Generative AI services - Programming Frameworks - Strong proficiency in Python - Experience with FastAPI / Flask - REST API development - Familiarity with AI/ML libraries (optional: LangChain, Transformers) - Terraform DevOps - Hands-on experience with Terraform (IaC) - Experience with: Infrastructure automation - CI/CD pipelines - Git version control - AWS Services - Core services: Lambda, API Gateway - S3, DynamoDB/RDS - IAM, VPC - Exposure to serverless architecture Additional Responsibilities - Experience with LLM frameworks (LangChain, LlamaIndex) - Knowledge of prompt engineering and RAG (Retrieval-Augmented Generation) - AWS Certifications (Solutions Architect / AI Specialty) - Experience with Docker / Kubernetes Technical and Professional Requirements - Primary skills: AWS Bedrock Developer, Terraform Python Preferred Skills - Technology- >AI-Data science- >Python - Technology- >AI-Generative AI- >Generative AI - Basic- >closed models (aws bedrock) - Technology- >Cloud Platform- >Terraform