Artificial Intelligence Engineer

Sonata Software; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

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Job summary

Sonata Software is seeking a senior cloud/AI/ML engineering leader in Bengaluru to design and deliver across cloud architectures, serverless workflows, and GenAI integrations. You will drive end-to-end solutions using AWS and Azure, focusing on scalable and secure systems, with strong emphasis on observability and DevOps practices.

Ideal candidates have 8–12 years of experience in cloud/AI domains, with hands-on expertise in AWS, Azure, serverless development, and MLOps tooling.

Qualifications

• 8–12 years of experience in software engineering, cloud engineering, AI/ML engineering, or related areas.
• Strong hands-on experience with both AWS and Azure.
• Hands-on serverless development and architecture experience.
• Experience designing event-driven and distributed cloud architectures.
• Proficient in JSON, REST, authentication, OAuth/OIDC, and API integration.

Skills

Cloud engineering

AI/ML engineering

Serverless development

Event-driven architectures

LLMs / GenAI

AWS & Azure

DevOps & MLOps

MLOps / LLMOps tooling

CI/CD pipelines

Security / IAM / RBAC

Observability / monitoring

Tools

Docker

Kubernetes

GitHub Actions

Azure DevOps

Jenkins

CloudWatch / Application Insights

OpenTelemetry

Job description

• 8–12 years of overall experience in software engineering, cloud engineering, AI/ML engineering, or related areas.
• Strong production experience with both AWS and Azure.
• Strong hands-on serverless development and architecture experience.
• Experience designing event-driven and distributed cloud architectures.
• Strong troubleshooting, system-design, and technical leadership capabilities.
• AI & Generative AI
• Amazon Bedrock and/or Azure OpenAI.
• Azure AI Foundry and Azure AI Search.
• Amazon SageMaker and/or Azure Machine Learning.
• LLMs, embeddings, vector search, RAG, prompt engineering, and AI agents.
• Integration of LLM applications with Lambda/Azure Functions.
• Serverless RAG and event-driven GenAI workflows.
• LLM evaluation, observability, guardrails, and responsible AI.
• Programming & Development
• Strong knowledge of JSON, REST, authentication, OAuth/OIDC, and API integration.
• Experience with asynchronous programming and distributed systems.
• Strong understanding of software engineering principles, design patterns, and clean code.
• Cloud, DevOps & MLOps
• Strong hands-on experience with AWS and Azure.
• Docker and Kubernetes experience.
• CI/CD using GitHub Actions, Azure DevOps, Jenkins, GitLab, or equivalent.
• MLOps/LLMOps using MLflow, SageMaker, Azure ML, or equivalent.
• Monitoring and observability using CloudWatch, Azure Monitor, Application Insights, OpenTelemetry, or equivalent.
• Security
• AWS IAM and Azure RBAC/Entra ID.
• Secrets management using AWS Secrets Manager and Azure Key Vault.
• Encryption at rest and in transit.
• VPC/VNet, private endpoints, security groups, and network isolation.
• API authentication, authorization, throttling, and secure API design.
• Understanding of enterprise AI security and data privacy.