AI Software Engineer (Generative AI & Cloud-Native Systems) - 3–4 years in software development + 1–2 years in AI (agentic / generative) - Immediate joiners only

Job Title : 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

We’re 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, you’ll be the bridge between AI research and real-world systems : you’ll design, build, and maintain cloud-native backend services, infrastructure, and APIs that power AI features—not just train models, but ensure they’re 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 you’ve 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

3–4 years of professional software development experience with strong fundamentals :

1–2 years of hands-on experience in AI application development, specifically :

Strong software engineering discipline :

Bachelor’s or Master’s in Computer Science, Software Engineering, or related field.

Preferred Qualifications

Why This Role?