The salary range for this position is Rs 2000000 - Rs 3000000 (INR 20-30 LPA).
A minimum of 5 years of experience is required.
The position is remote and based in India.
This is a full-time job.
In the first 90 days, the responsibilities include deep-diving into the multimodal stack (OpenAI/Claude, custom SLMs, Azure Video Indexer, Pinecone, LangGraph), shipping version 2 of the SKU-specific “video + text” agent with latency under 500ms and zero hallucinations, productionizing auto-evaluation and brand safety guardrails (sentiment, toxicity, etc.), and prototyping voice and XR modalities while experimenting with on-device inference.
In the next 6 to 12 months, the role involves launching real-time geo-optimization for product recommendations, leading the design of an Agent Marketplace with plug-and-play warranty, finance, and upsell agents, and hardening infrastructure to handle over 10 million monthly interactions across Fortune 500 sites.
Long-term goals include building and mentoring an elite AI/ML/systems team and architecting the foundation for self-serve onboarding, global content delivery, and AI personalization at scale.
Requirements:
Candidates must have 5 to 10+ years of experience in shipping production-scale systems.
Experience in building and deploying deep learning pipelines from data to training, safety, and serving is required.
Hands-on experience with multimodal AI (vision, video, speech), RAG, and agent orchestration is necessary.
Proficiency in Python, Go, and/or TypeScript is essential, along with the ability to debug distributed systems at 2 a.m. if needed.
Candidates should thrive in chaotic environments, be able to sketch ideas, hack quick MVPs, communicate with customers, and iterate quickly.
Benefits:
The position offers a competitive salary within the specified range.
The role provides the flexibility of remote work from India.
Opportunities for professional growth and mentorship in building an elite AI/ML/systems team are available.
The chance to work on innovative projects involving multimodal AI and large-scale systems is provided.