Lead Engineer – Ai Platform

TutorCloud; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

TutorCloud seeks a Lead Engineer – AI Platform to steer the design, development and delivery of AI-powered applications. This hands-on leadership role demands cloud-native architecture skills, strong coding standards, and mentoring of engineers to achieve scalable, secure platforms.

You will drive AI features, RAG workflows, vector databases, and CI/CD pipelines while collaborating with product and UX teams for reliable, high-performance services.

Qualifications

• 4+ years of professional software development experience.
• Experience building AI-enabled or intelligent software solutions.
• Strong architectural and technical decision-making skills.

Responsibilities

• Lead architecture and technical design of AI-powered applications.
• Define engineering standards and coding guidelines.
• Review designs and conduct code reviews; mentor engineers.

Skills

Python

Flask

FastAPI

REST APIs

Prompt Engineering

RAG

AI Agents

Vector Databases

AI Evaluation

WebSockets

Redis

Education

Bachelor's/Master's in CS or related

Tools

Docker

Git

OpenTelemetry

Job description

Job Description - Lead Engineer – AI Platform

Employment Type: Full-time, Permanent

Experience: 4+ Years

About the Role

We are looking for an experienced Lead Engineer – AI Platform to lead the design, development, and delivery of next-generation AI-powered applications. The ideal candidate will provide technical leadership, mentor engineering teams, and drive the development of scalable, secure, and high-performance cloud-based solutions powered by modern AI technologies.

This is a hands‑on leadership role requiring expertise in software architecture, cloud-native development, AI integration, DevOps, and engineering best practices.

Key Responsibilities

Technical Leadership

• Lead the architecture and technical design of AI-powered applications.


• Define engineering standards, coding guidelines, and development best practices.


• Review solution designs and conduct code reviews.


• Mentor and guide software engineers through technical challenges.


• Drive technical excellence and continuous improvement across engineering teams.


• Evaluate emerging technologies and recommend suitable solutions.

Software Development

• Design and develop scalable backend services using Python and FastAPI.


• Build secure, high-performance RESTful APIs and real-time communication services.


• Develop reusable, maintainable, and well-documented software components.


• Optimize application performance, scalability, and reliability.


• Troubleshoot and resolve complex production issues.

AI Platform Development

• Design and implement AI-powered features using Large Language Models (LLMs).


• Build Retrieval-Augmented Generation (RAG) solutions


• Develop AI orchestration workflows and prompt engineering strategies.


• Implement conversation management and contextual memory.


• Integrate vector databases and semantic search technologies.


• Improve AI response quality, latency, reliability, and operational efficiency.


• Implement AI guardrails, monitoring, and responsible AI practices.


• Design cloud-native applications on Microsoft Azure.


• Build and maintain CI/CD pipelines using Azure DevOps.


• Improve deployment automation and release management.


• Monitor application health, availability, and performance.


• Collaborate with DevOps teams to enhance operational excellence.

Security & Quality Collaboration & Leadership

• Work closely with Product Managers, UX Designers, QA Engineers, AI Specialists, and other stakeholders.


• Participate in sprint planning,technical estimation, and release planning.


• Identify technical risks and propose mitigation strategies.


• Support recruitment, onboarding, and mentoring of engineers.


• Foster a culture of collaboration, innovation, and continuous learning.

Required Technical Skills Programming

• Python


• Flask


• FastAPI


• REST APIs


• Prompt Engineering


• Retrieval-Augmented Generation (RAG)


• AI Agents and Agentic Workflows


• Vector Databases


• AI Evaluation and Monitoring


• WebSockets or Streaming APIs


• Redis (preferred)

Databases

• Relational Databases


• Data Modeling


• Performance Optimisation


• Application Insights


• Git


• Docker

Experience

• 4+ years of professional software development experience.


• Experience building AI-enabled or intelligent software solutions.


• Experience working in Agile development environments.


• Strong architectural and technical decision‑making skills.


• Excellent communication and stakeholder management.


• Mentoring and coaching engineering teams.


• Ownership and accountability.


• Strategic thinking with a pragmatic approach to delivery.


• Strong analytical and problem‑solving abilities.

Educational Qualification

• Bachelor's or master's degree in computer science, Information Technology, Software Engineering, or a related discipline.


• Equivalent industry experience will also be considered.

Nice to Have

• Experience with AI observability and monitoring tools.


• Knowledge of MLOps concepts and deployment pipelines.


• Experience with educational technology or SaaS platforms.


• Familiarity with OpenTelemetry and distributed tracing.


• Experience integrating third‑party APIs and enterprise identity providers.