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We are seeking a skilled Developer with 5+ years of overall IT experience and strong hands-on exposure to AWS cloud development. The candidate will contribute to the design, development, and deployment of AWS-based applications and support implementation of AI and Agentic AI solutions under architectural guidance. This role requires solid coding capabilities, real-time AWS deployment exposure, and foundational knowledge of Generative AI and LLM-based application development.
Job Responsibility
Develop and deploy cloud-native applications on AWS
Implement backend services using AWS services such as Lambda, EC2, S3, RDS, DynamoDB
Assist in AWS Platform-to-Application (P2A) implementation activities
Support Infrastructure as Code (IaC) implementations using Terraform or CloudFormation
Participate in CI/CD pipeline implementation and deployment automation
Configure IAM roles, policies, and security groups under guidance
Monitor applications using CloudWatch and assist in troubleshooting production issues
Support release management and environment configurations
Contribute to development of LLM-based applications
Assist in building Retrieval-Augmented Generation (RAG) pipelines
Integrate APIs of foundation models (OpenAI / Bedrock / similar)
Work with vector databases for AI-powered search solutions
Support prompt engineering and basic AI evaluation tasks
Participate in deployment of AI workloads on AWS
Develop REST APIs using Python (FastAPI / Flask preferred)
Write clean, maintainable, and testable code
Perform unit testing and assist in integration testing
Debug and fix defects in development and production environments
Collaborate with senior developers and architects
Follow secure coding and DevOps best practices
Requirements
5+ years of overall IT experience
2–3+ years of hands-on AWS development experience
Strong proficiency in Python (mandatory)
Basic experience working with LLM APIs
Understanding of RAG concepts
Experience with REST APIs (FastAPI / Flask)
Familiarity with Git and CI/CD tools
Strong debugging and troubleshooting skills
Bachelor’s degree in Computer Science, Engineering, or related field
Nice to have
Experience with AWS Bedrock or SageMaker
Kubernetes exposure
Event-driven architecture (SNS/SQS/Kafka)
Knowledge of AI model monitoring and guardrails
Experience with frontend frameworks (React/Angular)