AWS Bedrock Developer-Terraform-Python Consultant

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

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

• closed models (aws bedrock)
• Terraform
• PYTHON

Educational Requirements

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