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

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

* Primary skills:AWS Bedrock Developer, Terraform & Python