Full-Stack AI Engineering Lead - AITDS

Full-Stack AI Engineering Lead

Role Overview

A hands-on technical lead and senior developer responsible for the end-to-end backend stack-from LLM orchestration and data design to scalable API design-ensuring seamless integration with frontend applications.

Key Responsibilities

1. Build & Deploy AI Solution

· Design and develop backend services and APIs using Python (FastAPI).

· Implement microservices and event-driven architectures where appropriate.

· Ensure the platform is scalable, performant, and maintainable.

· Mentor junior developers on coding best practices, patterns, and technical problem solving.

· Collaborate with UI engineers (React/Angular) to integrate backend APIs and support delivery of modular, maintainable micro-frontends.

· Experience developing in React is a plus.

2. Oversee Implementation on Cloud Infrastructure

· Collaborate with infra team for required services on Azure, AWS, or GCP.

· Implement serverless, containerized, and microservices-based architectures.

· Guide integration of databases (SQL and NoSQL) with backend and frontend services.

3. Implement Modern Software Engineering Practices

· Provide hands-on guidance for backend and oversee frontend development.

· Implement CI/CD pipelines and observability for the platform.

· Optimize application performance, reliability, and maintainability.

Required Capabilities / Skills / Experience

· 8+ years of software engineering experience with a focus on building scalable backend systems. Proven track record of shipping AI/GenAI Solutions.

· Hands-on experience in Python (FastAPI), RESTful APIs, microservices, SQL/NoSQL/Vector databases.

· Experience developing with LLMs and agentic frameworks such as MAF/Autogen/ADK.

· Experience collaborating with frontend teams developing in React or Angular.

· Strong experience in one or more cloud platform (Azure/AWS/GCP) and cloud-native application design.

· Practical knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.

· Strong problem-solving, coding, and system design skills focused on scalable, maintainable solutions.