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Mid-level generalist AI/backend role in a metro with broad tech stack, increasing candidate competition.
Role requires specialized AI-native systems experience, reducing cross-industry transferability.
Multiple mandatory backend, AI-system and stack requirements raise filter strictness to moderate.
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Own and architect large AI-native product surfaces and backend systems end-to-end, focusing on reliability, latency, and privacy.
Build and optimize retrieval augmented generation (RAG) and agent pipelines across chat, voice, and video modalities using Python, GoLang, Next.js, and various databases.
Drive full product lifecycle from ambiguous problems to weekly shippable deliverables, ensuring operational readiness and privacy-first design.
At least 3 years of experience building production software.
Strong backend development skills in Python or GoLang; experience with modern frontend frameworks like Next.js.
Experience with MongoDB, Redis, cloud infrastructure, and exposure to LLM-powered systems and RAG pipelines.
Work setting is Work from Office (WFO) in Noida, India.
Has built or contributed significantly to AI-native or multimodal AI products involving chat, voice, and video.
Experienced in designing low-latency, streaming data pipelines and privacy-first architectures in complex systems.
Demonstrates high ownership, delivering end-to-end functionality rapidly in ambiguous, fast-paced environments.