Job Summary
Responsbilities include:
Designing, Developing and Deploying cloud native applications leveraging AWS services incl Agentic AI
Agentic Solution building leveraging services like Bedrock, AgentCore, Kiro etc..
Document technical process and configurations
Languages: Python, C++, C, Java, JavaScript, TypeScript, SQL
Web Development: React.js, Node.js, Spring Boot, Flask, REST APIs, Tailwind CSS, HTML5, CSS3
AI / ML: LangGraph, Multi-Agent Systems, MCP (Model Context Protocol), Generative AI, NLP, Prompt Engineering, Strands
Cloud / DevOps: AWS (Lambda, EC2, S3, RDS, VPC, ECS, EKS, CodePipeline, CodeBuild, CloudWatch), GCP, Docker, Kubernetes, Terraform, Jenkins, CI/CD, Bedrock, AgentCore)
Databases: PostgreSQL, MongoDB, MySQL, Redis, SQLite
Frameworks : Spring Boot (basic), GitHub, Android Studio, Visual Studio Code, IntelliJ, PyCharm,
Generative AI and LLM Concepts: Retrieval-Augmented Generation (RAG), Prompt Engineering, Large Language Models (LLMs), Embeddings & Vector Databases
Qualifications include:
Motivated undergraduate / graduate with an engineering degree (preferably in computer science) with demonstrable understanding of cloud
Good understanding of AWS cloud and associated services
Familiarity with at least one programming language eg: Python, Java, JavaScript, TyeScript..)
Strong problem solving skills and willingness to learn
Good communication skills and ability to work in a team environment
Key Responsibilities
Designing, Developing and Deploying cloud native applications leveraging AWS services incl Agentic AI
Agentic Solution building leveraging services like Bedrock, AgentCore, Kiro etc..
Document technical process and configurations
Skill Requirements
Languages: Python, C++, C, Java, JavaScript, TypeScript, SQL
Web Development: React.js, Node.js, Spring Boot, Flask, REST APIs, Tailwind CSS, HTML5, CSS3
AI / ML: LangGraph, Multi-Agent Systems, MCP (Model Context Protocol), Generative AI, NLP, Prompt Engineering, Strands
Cloud / DevOps: AWS (Lambda, EC2, S3, RDS, VPC, ECS, EKS, CodePipeline, CodeBuild, CloudWatch), GCP, Docker, Kubernetes, Terraform, Jenkins, CI/CD, Bedrock, AgentCore)
Databases: PostgreSQL, MongoDB, MySQL, Redis, SQLite
Frameworks : Spring Boot (basic), GitHub, Android Studio, Visual Studio Code, IntelliJ, PyCharm,
Generative AI and LLM Concepts: Retrieval-Augmented Generation (RAG), Prompt Engineering, Large Language Models (LLMs), Embeddings & Vector Databases
Other Requirements
Motivated undergraduate / graduate with an engineering degree (preferably in computer science) with demonstrable understanding of cloud
Good understanding of AWS cloud and associated services
Familiarity with at least one programming language eg: Python, Java, JavaScript, TyeScript..)
Strong problem solving skills and willingness to learn
Good communication skills and ability to work in a team environment