AWS Cloud Engineer – Generative AI / ML

Teceze; Dadri; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Teceze in India seeks an experienced AWS Cloud Engineer to design and implement cloud-native solutions leveraging AWS Bedrock, SageMaker, and GenAI capabilities. You will build AI-driven systems, deploy scalable microservices, and drive best practices in serverless architectures.

The role emphasizes Python development, CI/CD pipelines, IaC tooling, and robust API design with REST endpoints and event-driven workflows.

Qualifications

• Must-have AWS Bedrock, SageMaker & Bedrock Agent Core proficiency.
• Generative AI / ML on AWS experience required.
• Proficiency in Python is essential.
• Experience with CI/CD and Infrastructure as Code (IaC) is required.

Responsibilities

• Design and develop cloud-native applications on AWS.
• Build GenAI solutions using Bedrock, SageMaker and Bedrock AgentCore.
• Develop AI agents and multi-agent workflows; implement RAG/LLM-based apps.

Skills

AWS Bedrock

SageMaker Bedrock

Python

GenAI on AWS

CI/CD

IaC

REST APIs

Microservices

Serverless

RAG/LLM

LangChain

Tools

Terraform

Docker

Job description

We are looking for an experienced AWS Cloud Engineer with strong expertise in AWS, Generative AI/ML, Python, and cloud-native architecture.

Experience: 8+ years

Relevant Experience: 6+ years

Must-Have Skills:

• AWS Amazon Bedrock, SageMaker & Bedrock Agent Core
• Generative AI / ML on AWS
• Python
• CI/CD & Infrastructure as Code (IaC)
• REST APIs & Microservices
• Serverless Architecture
• Cloud-Native Architecture & Distributed Systems
• RAG, LLM-based applications & AI Agents
• LangChain / LangGraph

Key Responsibilities:

• Design and develop cloud-native applications on AWS
• Build GenAI solutions using Bedrock, SageMaker and Bedrock AgentCore
• Develop AI agents and multi-agent workflowsImplement RAG and LLM-based applications
• Build scalable event-driven solutions using Lambda, SQS, SNS, EventBridge and Step Functions
• Design REST APIs, microservices and serverless applications
• Work with RDS, Aurora, DynamoDB and S3
• Build and automate CI/CD pipelines
• Implement AI observability, monitoring, evaluation, guardrails and responsible AI practices