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Cloud & AI engineer

Sourcedear

Bengaluru

6-12 years

Today

$21.7K–21.7K/yr

Full-time

Hybrid

Skills Required LLM

RAG

Gen AI

Embeddings

Prompt Engineering

Agentic AI

Azure OpenAI

LangChain

Amazon Bedrock

Azure AI Foundry

Azure AI Search

Amazon SageMaker

Azure Machine Learning

Python

FastAPI

Description Seeking an experienced software/cloud engineer with expertise in AI/ML and cloud platforms to develop production-grade AI/GenAI applications and serverless architectures.

Location: Hybrid remote in Bengaluru, Karnataka

Experience

- 6-12 years of overall experience in software engineering, cloud engineering, AI/ML engineering, or related areas
- Robust production experience with both AWS and Azure
- Strong hands-on serverless development and architecture experience
- Experience delivering production-grade AI/GenAI applications
- Experience designing event-driven and distributed cloud architectures
- Strong troubleshooting, system-design, and technical leadership capabilities

Responsibilities

- Develop production-grade AI/GenAI applications
- Design event-driven and distributed cloud architectures
- Implement serverless RAG and event-driven GenAI workflows
- Integrate LLM applications with Lambda and Azure Functions
- Evaluate LLMs and implement observability, guardrails, and responsible AI
- Develop REST APIs using FastAPI, Flask, or equivalent
- Apply software engineering principles, design patterns, and clean code practices
- Implement CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or GitLab
- Manage MLOps/LLMOps using MLflow, SageMaker, Azure ML, or equivalents
- Monitor systems using CloudWatch, Azure Monitor, Application Insights, or OpenTelemetry
- Ensure security through IAM, RBAC,



secrets management, encryption, and network isolation
- Design secure APIs with authentication, authorization, and throttling

Additional Responsibilities

- Strong troubleshooting and technical leadership capabilities

More Skills AWS, Azure, Serverless development, AI & Generative AI, Vector search, Lambda, Azure Functions, REST APIs, Flask, JSON, OAuth, OIDC, Asynchronous programming, Distributed systems, Software engineering principles, Design patterns, Clean code, Docker, Kubernetes, Terraform, AWS CDK, AWS SAM, Azure Bicep, CI/CD, GitHub Actions, Azure DevOps, Jenkins, GitLab, MLOps, LLMOps, MLflow, Monitoring, CloudWatch, Azure Monitor, Application Insights, OpenTelemetry, AWS IAM, Azure RBAC, Entra ID, AWS Secrets Manager, Azure Key Vault, Encryption at rest and in transit, VPC, VNet, Private endpoints, Security groups, Network isolation, API authentication, API authorization, API throttling, Secure API design, Enterprise AI security, Data privacy

Prepare for this role

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