AI Full Stack Engineer

Job Title: AI Fullstack Engineer

Employment Type: Full-Time

Experience:

Industry:

Domain:

Location:

Role Summary

AI Fullstack Engineer

Key Responsibilities

• Develop and deploy

  AI/ML-enabled fullstack applications

  using Python & FastAPI.
• Build

  REST APIs, microservices

  , and ensure application security & scalability.
• Collaborate with AI/ML teams to

  integrate models into production systems

  .
• Apply

  DevSecOps practices

  (CI/CD, Docker/Kubernetes, Git) for secure deployments.
• Conduct

  code reviews, testing, performance tuning

  , and troubleshoot production issues.

Must-Have Tech Stack

• Python

  (4–6 years) with expertise in

  FastAPI

  .
• Strong understanding of

  API design, databases, and backend & frontend integration

  .
• Experience with

  DevOps/DevSecOps

  (CI/CD/CT pipelines).
• Knowledge of

  application security, authentication/authorization, API security

  .
• Knowledge of

  Docker, Kubernetes & Git

  .

Good-to-Have Skills

• Proficiency in

  Angular

  or

  ReactJS

  for frontend development.
• Experience in

  cloud platforms

  (AWS, Azure, GCP).
• Familiarity with

  MLOps & model serving tools

  (MLflow, TorchServe, TF Serving).
• Exposure to

  event-driven architecture, data pipelines, messaging systems

  (Kafka, RabbitMQ).
• Prior experience in the

  BFSI domain

  .