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Grade 8- Specialist

Role Description:
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.

Role Responsibilities:
A. AWS Development & Deployment
o    Develop and deploy cloud-native applications on AWS.
o    Implement backend services using AWS services such as Lambda, EC2, S3, RDS, DynamoDB.
o    Assist in AWS Platform-to-Application (P2A) implementation activities.
o    Support Infrastructure as Code (IaC) implementations using Terraform or CloudFormation.
o    Participate in CI/CD pipeline implementation and deployment automation.
o    Configure IAM roles, policies, and security groups under guidance.
o    Monitor applications using CloudWatch and assist in troubleshooting production issues.
o    Support release management and environment configurations.
B. Agentic AI & AI Solution Development
o    Contribute to development of LLM-based applications.
o    Assist in building Retrieval-Augmented Generation (RAG) pipelines.
o    Integrate APIs of foundation models (OpenAI / Bedrock / similar).
o    Work with vector databases for AI-powered search solutions.
o    Support prompt engineering and basic AI evaluation tasks.
o    Participate in deployment of AI workloads on AWS.
C. Application Development
o    Develop REST APIs using Python (FastAPI / Flask preferred).
o    Write clean, maintainable, and testable code.
o    Perform unit testing and assist in integration testing.
o    Debug and fix defects in development and production environments.
o    Collaborate with senior developers and architects.
o    Follow secure coding and DevOps best practices   
Mandatory Technical Skills: 
AWS (Hands-On Required)
o    2–3+ years of hands-on AWS development experience.
o    Experience with:
    EC2, S3, Lambda
    API Gateway
    RDS / DynamoDB
    VPC basics and Security Groups
o    Basic understanding of IAM roles and policies.
o    Exposure to Docker and container-based deployments.
o    Familiarity with CloudWatch monitoring.
o    Experience in application deployment to AWS environments
AI / GenAI / Agentic AI
o    Basic experience working with LLM APIs.
o    Understanding of RAG concepts.
o    Exposure to frameworks like LangChain (preferred).
o    Awareness of embeddings and vector databases.
o    Basic understanding of prompt engineering.
Programming
o    Strong proficiency in Python (mandatory).
o    Experience with REST APIs (FastAPI / Flask).
o    Familiarity with Git and CI/CD tools.
o    Strong debugging and troubleshooting skills.
Desired Skills
o    Experience with AWS Bedrock or SageMaker.
o    Kubernetes exposure.
o    Event-driven architecture (SNS/SQS/Kafka).
o    Knowledge of AI model monitoring and guardrails.
o    Experience with frontend frameworks (React/Angular).
o    Exposure to DevSecOps practices.
o    Knowledge of database optimization (SQL/NoSQL).
Behavioral & Professional Traits
Technical Execution
o    Strong hands-on developer mindset.
o    Ability to independently handle development and deployment tasks.
o    Detail-oriented and quality-focused.
Problem Solving
o    Good debugging and troubleshooting ability.
o    Analytical thinking skills.
Communication Skills
o    Good verbal and written communication.
o    Ability to interact with architects and senior stakeholders.
o    Ability to clearly articulate technical issues and solutions.
Collaboration
o    Works effectively in Agile teams.
o    Proactive in identifying risks and proposing solutions.
o    Willingness to learn emerging AI technologies.
Experience requirement:
o    5+ years of overall IT experience.
o    2–3 years of AWS hands-on development experience.
o    Exposure to AI/GenAI-based application development is preferred.
o    Experience working in development and deployment environments.
Educational Qualification 
o    Bachelor’s degree in Computer Science, Engineering, or related field.
o    AWS Associate certification preferred.
o    AI/ML certifications are an added advantage.