Hyderabad, Telangana
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 workplace

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

Valuable communication skills and ability to work in a team environment

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📌 AI Developer I (Hyderabad)
🏢 HCLTech
📍 Hyderabad