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

• 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.
• 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.
• 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.