Key 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
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

Technical Requirements:

Primary skills AWS Bedrock Developer Terraform Python

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

Preferred Skills:

Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock),Technology->Cloud Platform->Terraform

AWS Bedrock Developer-Terraform-Python Consultant