Algonomy - AI Software Engineer - Generative AI & Cloud Native Systems

AI Software Engineer (Generative AI & Cloud-Native Systems).

Location : Hybrid(Bangalore).

Experience : 3- 4 years in software development + 1- 2 years in AI (agentic / generative).

About the Role :

Were building scalable, production-grade full-stack AI applications where AI capabilities (like generative models and agentic workflows) are deeply integrated into user-facing products.

As an AI Software Engineer, youll be the bridge between AI research and real-world systems : youll design, build, and maintain cloud-native backend services, infrastructure, and APIs that power AI featuresnot just train models, but ensure theyre reliable, secure, and cost-efficient at scale.

Your core focus will be software engineering excellence (clean code, testing, CI / CD, system design) with AI as a component, not the sole focus.

If you thrive in environments where "AI" means building robust, maintainable systems (not just notebooks), and youve shipped AI features in production using AWS / Azure, this role is for you.

Key Responsibilities :

Software Engineering & Cloud Infrastructure (Primary Focus) :

• Design, build, and optimize cloud-native backend services (Python / Node.js) for AI applications on AWS or Azure (e.g., serverless, containers, managed services).
• Develop infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates to automate cloud deployments.
• Implement CI / CD pipelines for AI model deployment, application updates, and automated testing (e.g., GitHub Actions, Azure DevOps).
• Build scalable APIs / microservices (FastAPI, gRPC) to serve AI features (e.g., LLM inference, agent workflows) with security, latency, and cost efficiency.
• Ensure reliability and observability via monitoring (Prometheus, CloudWatch), logging, and alerting for AI systems.

AI Integration & Productionization (Secondary Focus) :

Collaboration & Ownership :

Minimum Qualifications :

1. Compute (EC2, Lambda, Azure Functions, VMs) Storage (S3, Blob Storage).

2. Databases (RDS, Cosmos DB, DynamoDB).

3. API gateways (API Gateway, AzureAPI Management).

Strong software engineering discipline :

Preferred Qualifications :

WhyThis Role?

(ref : hirist.tech)