6 months ago
Gurgaon, IndiaStaff+
Responsibilities
- Define architecture for AI-native and software-led R&D projects involving backend, frontend, APIs, databases, AI/ML models, deployment, and device integrations.
- Lead development of AI-assisted workflows involving decision engines, conversational systems, speech-to-text, NLP, computer vision, recommendation systems, and human-in-the-loop intelligence.
- Convert ambiguous R&D goals into experiments, prototypes, technical milestones, pilot deployments, and productionization plans.
- Guide backend, frontend, data pipeline, AI service, dashboard, control-system, and integration-layer development.
- Integrate software with external devices, instruments, sensors, APIs, control interfaces, and third-party platforms.
- Define data capture, storage, processing, analytics, reliability, observability, security, and scalability requirements.
- Mentor and guide software, AI/ML, data, and integration engineers and review technical designs, architecture, code quality, and implementation approaches.
- Support hiring, technical talent development, vendor evaluations, technology scouting, and cross-functional engineering execution.
Requirements
- 7+ years of experience building software, AI-enabled, or technology-driven solutions.
- Strong background in software engineering, system architecture, and technical problem-solving.
- Proven experience building and shipping multiple products, platforms, tools, or internal systems.
- Experience leading engineering teams, technical workstreams, or zero-to-one technology initiatives.
- Ability to operate independently in ambiguous environments and convert unclear problems into executable technical plans.
- Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, Data Science, Electronics, Robotics, or a related technical field.
- Strong exposure to backend development with Python, Node.js, Java, Go, or similar technologies.
- Experience with frontend development using React, Next.js, or similar frameworks.
- Knowledge of AI/ML systems, LLM integrations, speech-to-text, NLP, computer vision, intelligent automation, data pipelines, analytics, model evaluation, and experimentation.
- Experience with system integration involving hardware, instruments, devices, sensors, or third-party platforms.
- Preferred experience includes founding or early-stage startup leadership, AI-native products, health-tech, diagnostics, optometry, medical devices, retail technology, robotics, automation, computer vision, regulated or safety-critical environments, and management of small technical teams.
About Lenskart
Lenskart sells prescription eyeglasses, sunglasses, and contact lenses through an omnichannel model—e-commerce apps plus company-owned and franchised retail stores. It designs and manufactures eyewear and provides eye tests and fitting services for consumers across India and select international markets, including Singapore and the Middle East. Founded in 2008 and headquartered in Gurgaon, it is privately held.