Website:
tutorcloud.ai
Job details:
Job Description - Lead Engineer – AI Platform
Work Location: Bangalore
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.
Cloud & DevOps
- 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
- Asynchronous Programming
AI & Machine Learning
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents and Agentic Workflows
- Vector Databases
- Embedding Models
- AI Evaluation and Monitoring
Backend Technologies
- Event-Driven Systems
- Authentication (OAuth2, JWT, SSO)
- WebSockets or Streaming APIs
- Redis (preferred)
- Message Queues (preferred)
Databases
- NoSQL databases (e.g.,Azure Cosmos DB, MongoDB)
- Relational Databases
- Data Modeling
- Performance Optimisation
Cloud & DevOps
- Microsoft Azure
- Azure App Service
- Azure Storage
- Azure Key Vault
- Azure Monitor
- Application Insights
- Azure DevOps
- Git
- Docker
- Kubernetes (preferred)
Experience
- 4+ years of professional software development experience.
- Proven experience designing scalable enterprise applications.
- Experience building AI-enabled or intelligent software solutions.
- Experience working in Agile development environments.
Leadership Competencies
- 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.
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