Senior Al Engineer - India

Who We're Looking For

Cornerstone is seeking a Senior AI Engineer to join the Architecture team that forms the backbone of our Cornerstone AI Platform. You will design and build the foundational services every AI capability depends on, including authentication and authorization for agentic and MCP integrations, along with AI design patterns spanning RAG, voice, and evaluations. This is a high-ownership role where your design decisions directly shape how AI is built, secured, and validated across the product suite. If you want to work at the intersection of secure platform engineering and modern GenAI and see your work power features used by a global workforce.

In This Role You Will...

• Build and operate core platform services, including authentication and authorization for agentic and MCP integrations, OAuth2/OIDC, and multi-tenant identity and trust.
• Design and implement AI platform patterns covering RAG pipelines, voice-based role-play assistants, and the AI Evaluation Platform.
• Contribute to API Gateway solution design for new AI services, setting patterns for how services are built, secured, and scaled.
• Work on the Message Streaming Platform that processes internal and external events across microservices.
  Collaborate with cross-functional teams across product, operations, database, and security to deliver reliable and secure platform components.
• Contribute to solution design, reuse and extend the platform's common components, and help raise the engineering bar across the team.

• 3+ years of backend engineering experience in Java (Spring / Spring Boot) and/or Python.
• Hands-on experience building and operating production-grade AI/ML or GenAI solutions.
• Solid cloud fundamentals on AWS (EKS/Kubernetes, IAM, DynamoDB, RDS) and infrastructure-as-code (Terraform).
• Experience with SQL and NoSQL data stores and caching (Redis).
• Strong API and platform design skills.
• Good understanding of OAuth2 / OpenID Connect, token-based auth, and multi-tenant systems is a plus.
• Strong system design and architecture skills.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).