AWS Bedrock Developer-Terraform-Python

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

Dev

Ops & Automation:

Implement CI/CD pipelines using GitHub Actions, Jenkins, or AWS Code Pipeline
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: Lang Chain, 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 (Lang Chain, Llama Index)
Knowledge of prompt engineering and RAG (Retrieval-Augmented Generation)
AWS Certifications (Solutions Architect / AI Specialty)

Experience with Docker / Kubernetes:

Education: MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech

• Preferred skills: Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock),Technology->Open System->Python
• Open System->Python