- 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
- 3 6 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
- Primary skills AWS Bedrock Developer Terraform Python
- 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
Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock),Technology->Cloud Platform->Terraform
