AWS Bedrock Developer

Roles Responsibilities AWS Bedrock / GenAI Development Design and develop Generative AI applications using AWS BedrockIntegrate foundation models (FM) like Anthropic, Amazon Titan, etc. for use cases such as chatbots, summarization, and recommendation systems

Build APIs/services to consume Bedrock modelsImplement prompt engineering and fine-tuning strategies Cloud Infrastructure (AWS) Work with AWS services such as Lambda, API Gateway, S3, IAM, CloudWatch, EC2

Design scalable and secure cloud architecturesMonitor and optimize cloud performance and cost Terraform (IaC) Develop and manage Infrastructure as Code (IaC) using Terraform

Create reusable modules and automate provisioningMaintain environment consistency (Dev/UAT/Prod)Integrate Terraform with CI/CD pipelines Python Development Develop backend services using Python (Flask/FastAPI)Build data processing and automation scripts

Integrate AI/ML services with business workflows Data Integration Work with structured and unstructured data sourcesBuild pipelines to feed and consume AI modelsEnsure data security, privacy, and compliance

Technical Requirement

Core Skills 2-5 years of experience in Python developmentHands-on experience with AWS services (mandatory)Proven experience or exposure to AWS Bedrock / Generative AI platformsStrong experience with Terraform (mandatory)

Additional Responsibility

Understanding of REST APIs microservices architectureFamiliarity with JSON, API integrations, and SDKsExperience with Git, CI/CD tools (Jenkins/GitHub Actions)Knowledge of prompt engineering and LLM usage patterns

Educational Requirement

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

Preferred SkillsTechnology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock),Technology->Cloud Platform->Terraform

Service LineData Analytics Unit