AI platform with iOS and backend services, scaling RAG pipelines and LLM integrations
techjays builds AI-native applications across iOS and backend services, with a stack spanning Swift/SwiftUI for front-end and Python/FastAPI for API layers, paired with RAG and vector databases (Pinecone, Chroma). Active pain points around cloud cost efficiency and scaling AI workloads suggest the company is managing rapid feature velocity; the hiring mix—five lead engineers against three mid-level and one senior—indicates a lean, founder-led engineering org in growth mode.
techjays, founded in 2020 and based in Menlo Park, develops AI-powered applications with a focus on intelligent workflows and LLM integrations. The product surface spans iOS applications (Swift/SwiftUI, UIKit) backed by Python services on AWS and GCP, with infrastructure built around RAG pipelines and vector search (Pinecone, Chroma). The company is actively adopting Flutter and React Native, signaling intent to broaden platform coverage beyond iOS. Engineering-heavy hiring, concentrated in India, reflects a bootstrap-to-scale trajectory typical of AI-first startups in this stage.
Swift, SwiftUI, Python, FastAPI, Django, AWS, GCP, PostgreSQL, MongoDB, Pinecone, Chroma (vector DB), Docker, and RAG frameworks. Also running Jenkins and GitHub Actions for CI/CD.
iOS applications, LLM integrations, RAG pipelines, and intelligent workflows. The company is adopting Flutter and React Native to expand beyond iOS.
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