Tech Lead - AI Platform & Consumer Systems
Location: Bengaluru, Karnataka, India, Delhi, Delhi, India, Noida, Uttar Pradesh, India, Gurugram, Haryana, India
Department: Weekday's Client via platform
Workplace: hybrid
Employment Type: full
Description
This role is for one of the Weekday's clients
Salary range: Rs 1800000 - Rs 4800000 (ie INR 18-48 LPA)
Min Experience: 5 years
Location: Bengaluru, NCR
JobType: full-time
This is a high-impact, CTO-track opportunity for a hands-on technology leader to architect, build, and scale a next-generation AI-powered consumer platform. You will take ownership of the end-to-end AI and backend ecosystem, driving system design, performance, and scalability while leading a cross-functional engineering team.
Requirements
Key Responsibilities
System Architecture & Platform Ownership
- Design and implement scalable, low-latency, and fault-tolerant architectures across AI systems, backend infrastructure, and real-time applications
- Build robust integrations across web, mobile, and AI-driven services
AI Systems & Intelligence
- Architect and enhance AI agent systems, including multi-agent orchestration and context/memory layers
- Improve retrieval pipelines, RAG systems, and prompt engineering frameworks
- Develop personalization systems and persistent memory for enhanced user experiences
Human-Centric AI Experience
- Enhance conversational intelligence to deliver natural, human-like interactions
- Improve multilingual capabilities and structured reasoning for complex topics
- Enable high-quality voice and interactive learning experiences
Real-Time Systems Development
- Build and optimize live AI-powered voice and video interaction systems
- Integrate visual and interactive components such as graphs, sketchpads, and dynamic explanations
Performance, Reliability & Scalability
- Address latency, system stability, and output consistency challenges
- Ensure high availability, fast response times, and seamless user experience at scale
Backend & API Development
- Develop and manage backend systems for user data, analytics, notifications, and AI usage tracking
- Build scalable APIs for mobile and web platforms
- Implement recommendation systems using vector search and intelligent discovery
Hands-on Engineering
- Actively contribute to coding, debugging, and system optimization
- Operate across system design and deep technical problem-solving
Team Leadership
- Lead and mentor engineers across AI, backend, and DevOps
- Drive execution, unblock teams, and maintain high engineering standards
AI Research & Innovation
- Continuously evaluate and integrate advancements in LLMs, agent frameworks, and multimodal AI
- Push the boundaries of intelligent, scalable AI systems
What We’re Looking For
Core Experience
- 5–10+ years in backend engineering, distributed systems, or AI/ML platforms
- Strong expertise in Python, system design, APIs, and databases
AI & GenAI Expertise
- Hands-on experience with LLMs, RAG systems, vector databases, and agent frameworks
- Strong understanding of prompt engineering, personalization, and memory systems
Technical & Systems Thinking
- Proven ability to design scalable, fault-tolerant, real-time systems
- Experience building and deploying high-performance production systems
Builder Mindset
- Demonstrated experience building products at scale
- Comfortable working in fast-paced, ambiguous startup environments
- Strong ownership mindset with focus on quality, performance, and user experience
Nice to Have
- Experience in EdTech, conversational AI, or voice/video AI systems
- Exposure to real-time streaming architectures or multimodal AI systems
Why Join
- Build and scale cutting-edge AI systems at the intersection of intelligence and real-time interaction
- High ownership with direct influence on product and technology direction
- Opportunity to shape a global-scale platform from the ground up
- Clear path to executive leadership (CTO track)
- Collaborative, fast-paced, and innovation-driven environment
Skills
- Engineering Leadership
- AI/ML Systems
- Backend Development
- System Design
- Distributed Systems
- Real-Time Architectures
- Product Thinking
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