Cloud & AI Engineer

Description

Cloud & AI Engineer
Bangalore (Hybrid)

SUMMARY

We are looking for a highly skilled Cloud & AI Engineer with 7-10 years of experience in cloud engineering, software
development, AI/ML engineering, and Generative AI solutions. The ideal candidate will have strong hands-on
expertise in both AWS and Microsoft Azure, along with proven experience in designing and deploying production-
grade AI/GenAI applications using modern cloud-native and serverless architectures.

TECHNICAL SKILLS

Artificial Intelligence / Generative AI
AWS Cloud Services
Microsoft Azure Cloud Services
Python Programming
Serverless Architecture
Cloud-Native Application Development
Amazon Bedrock
Azure OpenAI
Azure AI Foundry
Azure AI Search
Amazon SageMaker
Azure Machine Learning
LLMs, RAG, Embeddings, Vector Databases
Prompt Engineering and AI Agents
AWS Lambda and Azure Functions
FastAPI, Flask
REST APIs, JSON, OAuth/OIDC
Docker and Kubernetes
Terraform, AWS CDK/SAM, Azure Bicep
GitHub Actions, Azure DevOps, Jenkins, GitLab
MLflow, MLOps, LLMOps
CloudWatch, Azure Monitor, OpenTelemetry

EXPERIENCE

5-10 Years

KEY RESPONSIBILITIES - AI & GENERATIVE AI

Design, develop, and deploy production-grade AI and Generative AI applications. Build and optimize solutions using
Amazon Bedrock, Azure OpenAI, Azure AI Foundry, and Azure AI Search. Develop and implement Retrieval-
Augmented Generation (RAG) pipelines, AI agents, vector search, embeddings, and prompt engineering frameworks.
Integrate LLM-powered applications with AWS Lambda and Azure Functions. Implement serverless and event-driven
GenAI workflows. Establish LLM evaluation frameworks, observability, guardrails, and responsible AI practices.

KEY RESPONSIBILITIES - CLOUD ARCHITECTURE & ENGINEERING
Design and implement scalable, distributed, and event-driven cloud architectures. Build and maintain cloud-native
solutions across AWS and Azure environments. Develop secure, high-performance serverless applications and APIs.
Troubleshoot complex cloud infrastructure, application, and AI platform issues.

KEY RESPONSIBILITIES - SOFTWARE DEVELOPMENT

Develop robust applications and services using Python. Design and build RESTful APIs using FastAPI, Flask, or
similar frameworks. Implement authentication, authorization, OAuth/OIDC, and API integrations. Apply software
engineering best practices, design patterns, and clean coding principles.

KEY RESPONSIBILITIES - DEVOPS, MLOPS & LLMOPS

Containerize applications using Docker and Kubernetes. Automate infrastructure using Terraform, AWS CDK/SAM, or
Azure Bicep. Build and manage CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or GitLab. Implement
MLOps/LLMOps workflows using MLflow, Amazon SageMaker, Azure Machine Learning, or equivalent platforms.
Monitor and optimize systems using CloudWatch, Azure Monitor, Application Insights, and OpenTelemetry.

KEY RESPONSIBILITIES - SECURITY & GOVERNANCE

Implement secure cloud architectures using AWS IAM, Azure RBAC, and Microsoft Entra ID. Manage secrets using
AWS Secrets Manager and Azure Key Vault. Ensure data encryption, network security, and secure API design.
Implement enterprise AI security, governance, and data privacy controls.

QUALIFICATIONS

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. 7-10
years of experience in software engineering, cloud engineering, AI/ML engineering, or related domains. Strong hands-
on production experience with both AWS and Azure. Proven experience delivering enterprise-scale AI/GenAI
solutions.

PREFERRED QUALIFICATIONS

Experience leading technical design and architecture discussions. Exposure to enterprise AI governance and
responsible AI frameworks. Strong problem-solving and stakeholder management skills.

EMPLOYMENT TYPE

Full-Time

WORK MODE

Hybrid - Bangalore