Full stack Engineer - AI

PAN India

7 to 12 years

Full stack Engineer - AI

Responsibilities:

• Design, build, and maintain full stack applications and dashboards (backend + frontend) that invoke deployed ML/data models for a variety of use cases.

• Write backend services in Python, integrating with model-serving endpoints exposed via Cloud Run and Vertex AI.

• Build application logic and dashboard UIs that consume model outputs (predictions, scores, insights) and present them in usable, performant interfaces.

• Manage Python environments using conda for reproducible, virtualized development and build environments.

• Containerize applications using Docker, and publish/version images to Artifact Registry.

• Integrate applications with GCP Load Balancers fronting Cloud Run endpoints, ensuring correct routing, health checks, and traffic management for dashboard/app front ends.

• Collaborate with the DevOps engineer on CI/CD pipeline integration — ensuring app builds, tests, and deployments are automated end-to-end alongside model deployments.

• Work with Data Engineering and Data Science teams to understand model input/output contracts (schemas, request/response formats) and build reliable integrations against them.

• Implement authentication, authorization, and secure API communication between applications and model endpoints across tenants/environments.

• Build monitoring/logging hooks into applications (via Cloud Monitoring/Cloud Logging) to track usage, latency, and errors when invoking models.

• Write clean, tested, maintainable code, and participate in code reviews across the two-person app engineering team.

• Troubleshoot issues spanning frontend, backend, container, and network layers when applications don't behave as expected against model endpoints.

• Contribute to documentation of application architecture, API contracts, and deployment processes.

Required:

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.

• 5+ years of experience as a full stack engineer, with strong proficiency in Python for backend development.

• Experience building frontend interfaces/dashboards (e.g., React, Vue, or Python-based dashboarding frameworks such as Streamlit/Dash) that consume backend/model APIs.

• Hands-on experience with conda for Python environment/dependency management.

• Experience containerizing applications with Docker and publishing images to a registry (Artifact Registry or equivalent).

• Experience deploying and consuming services via Cloud Run, including working with services fronted by GCP Load Balancers.

• Experience calling and integrating with model-serving/ML endpoints (e.g., Vertex AI endpoints or similar) from application code.

• Solid understanding of REST/HTTP API design and integration patterns.

• Familiarity with CI/CD workflows and working alongside DevOps to automate build/deploy pipelines.

• Understanding of basic security practices for application-to-service communication (auth tokens, IAM, secrets handling).