Transparent Search Group
Open positions
Frontend Software Engineer
Frontend Software Engineer at David AI, an audio training-data company for AI labs, building data-heavy interfaces that help users explore terabytes of audio datasets. Day to day: shipping polished UI features in Next.js, TypeScript and Tailwind from a San Francisco office 5 days a week.
Full-Stack Engineer
Full-stack engineer at Helium, an AI startup whose SDK auto-generates and tests product experiences (onboarding/paywalls) for consumer apps like Calm. You'll ship Next.js frontend features and scalable Go backends serving millions daily, design data/ML training infrastructure, and own features end to end in-office in San Francisco Mon-Fri. Salary $150k-$250k plus 0.5-1.5% equity.
Member of Technical Staff
At Bluejay (voice AI agent platform), a Member of Technical Staff builds simulation, analysis and evaluation systems for conversational AI, plus resilient AWS infrastructure handling millions of real-time calls, with full-stack ownership and on-site customer work. Stack: Python, FastAPI, Supabase, AWS, LLM and voice tooling; 5 days/week in San Francisco.
Member of Technical Staff, Forward Deployed
Forward Deployed Engineer at Chakra Labs, an early-stage AI startup building RL environments and trajectory datasets for frontier AI lab customers. You'd shape training data, handcraft RL tasks, and spin up customer-facing dashboards on tight timelines using TypeScript, Python, Go, Vercel, Supabase, and AWS/EKS, on-site in Flatiron, NYC.
Member of Technical Staff - Full Stack
Full-stack engineer at Suppli, an AI-native accounts receivable/payments startup for B2B distributors. You'd build high-volume payment processing, ERP integrations (NetSuite, Sage, Acumatica), and LLM-powered A/R workflows end to end, using Ruby on Rails, PostgreSQL, React, AWS, and Terraform, with AI coding tools part of daily work.
AI Engineer
AI Engineer at X5 Labs, a Series A AI startup, to fork and customize a core AI/LLM platform for a top-five US bank — owning architecture, production deployments, integrations, and reliability in a regulated environment, with ~20% customer-facing work. Stack: Python, LLMs/GenAI/RAG, Kubernetes, CI/CD, AWS/GCP/Azure.