AWS Bedrock Developer-Terraform-Python

Infosys; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Infosys in Hyderabad seeks a seasoned Python/Cloud engineer to design and implement AI-powered applications using AWS Bedrock. You will build LLM-based solutions, integrate Claude/Titan models, craft prompt strategies, and deploy with Terraform across serverless AWS services.

Responsibilities include Python REST API work with FastAPI/Flask, CI/CD automation, and governance for secure prompt handling. The role requires 3–6 years of hands-on Python and cloud experience, mandatory AWS exposure, and

Qualifications

• 3–6 years of experience in Python development / Cloud engineering

Responsibilities

• Design and develop applications using AWS Bedrock (LLMs, Foundation Models)
• Integrate models like Anthropic Claude, Amazon Titan, or Bedrock-supported models
• Build prompt engineering strategies and AI workflows
• Implement use cases such as chatbots, summarization, recommendations, and NLP pipelines
• 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
• Design and implement cloud infrastructure using Terraform
• Manage Terraform state and automate deployments via CI/CD
• Provision services like Bedrock, Lambda, API Gateway, S3, IAM
• Work with AWS services Lambda, API Gateway, S3, DynamoDB/RDS, IAM, VPC
• Build scalable and secure cloud-native applications
• Implement CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline
• Automate deployments and testing of AI applications
• Monitor applications using CloudWatch, X-Ray
• Implement secure access to Bedrock models using IAM policies
• Ensure compliance, data privacy, and secure prompt handling

Skills

Python development

AWS Bedrock

Terraform

CI/CD

REST API development

DevOps

LangChain

LlamaIndex

Education

AWS Certifications: Solutions Architect

AWS Certifications: AI Specialty

Tools

Terraform

AWS Lambda

API Gateway

S3

DynamoDB

RDS

IAM

Docker

Kubernetes

LangChain

Transformers

FastAPI

Flask

Job description

• Primary skills: 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

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