Educational Requirements

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

Service Line

Data Analytics Unit

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

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
- Core Skills 36 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
- Robust 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

Preferred Skills
- Technology->OpenSystem->Python - OpenSystem->Python
- Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock)

📌 AWS Bedrock Developer-Terraform-Python (Hyderabad)
🏢 Infosys
📍 Hyderabad