Cloud & AI Engineer

Saanvi Nexus; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Saanvi Nexus in Bangalore is seeking a Cloud & AI Engineer to design and deploy production-grade GenAI solutions. You will lead multi-cloud initiatives across AWS and Azure, focusing on serverless architectures and scalable cloud-native applications.

The role requires strong Python skills, DevOps discipline, and experience with AI/GenAI workflows, LLMs, and vector databases in enterprise environments. Hybrid work model included.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 710 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.

Responsibilities

• AI & Generative AI: Design, develop, and deploy production-grade AI and Generative AI applications.
• Cloud architecture & engineering: Design scalable, distributed cloud architectures across AWS and Azure.
• Software development: Build RESTful APIs using FastAPI/Flask; implement authentication and API integrations.
• DevOps, MLOps & LLMOps: Containerize with Docker/Kubernetes; automate with Terraform, CDK/SAM, or Bicep; manage CI/CD pipelines.
• Security & governance: Implement secure cloud architectures, IAM/RBAC, data encryption, and governance controls.

Skills

AWS Cloud Services

Microsoft Azure Cloud Services

Python Programming

Serverless Architecture

Docker and Kubernetes

REST APIs / FastAPI

ML/GenAI

Education

Bachelor's or Master's degree in Computer Science, IT, Engineering

Tools

Terraform

GitHub Actions

Azure DevOps

Jenkins

AWS CDK/SAM

Azure Bicep

Job description

Cloud & AI Engineer Bangalore (Hybrid)

SUMMARY

We are looking for a highly skilled Cloud & AI Engineer with 710 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

7-10 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. 710 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