Full Stack/Backend Engineer

Full Stack Engineer — Daemo AI Full-Time · San Francisco, CA · In-person preferred, hybrid/remote possible~ $100k-200k/yr APPLY: https://airtable.com/app16PZxY2eVBKHL0/pagLyUbKm36xxcn8D/form About the RoleDaemo AI is an intelligence platform catering to middle-market and enterprise clients. This engineer owns the full stack — from real-time data pipelines and LLM summarization engines to the user-facing web portal. Required Skills Languages • TypeScript (Expert) — all production frontend/backend code • Python (Proficient) — pipelines, scraping, LLM orchestration • SQL / MongoDB (Proficient) — BigQuery ingestion, aggregation pipelines • Bash/Shell — EC2 ops, cron, deployment scripts • Rust — systems on Rust Frameworks & Infrastructure • Next.js (App Router), React, Tailwind CSS / shadcn/ui, NextAuth.js • Node.js + Server Actions, OpenAI-compatible API (streaming, tool calling) • MongoDB Atlas — document modeling, Atlas Search • Docker / Docker Compose — all services containerized • Linux / tmux — SSH, process management, EC2 service administration Engineering Capabilities • Full stack ownership: data model → API → UI → deploy (no tier handoff) • Async/concurrent systems & data pipeline architecture (ETL/ELT, deduplication) • Web scraping at scale — anti-bot evasion, government/political sources (Playwright, BeautifulSoup) • Real-time streaming — SSE/WebSockets for agent responses • Production debugging across multi-stage pipelines • Multi-tenant security — data isolation, access control, audit logging AI / LLM • LLM API integration — chat completions, tool/function calling, streaming, context management • Prompt engineering for summarization, personas, research agents • Agent architecture — multi-step tool use, memory patterns, RAG • AI output evaluation — hallucination detection, guardrails Preferred Skills • Rust — core system runs on Rust • AWS Bedrock — Claude 3.x families; cost/quality/latency tradeoffs • AWS (EC2, S3), Cloudflare (DNS, tunnels), CI/CD (GitHub Actions) • Google BigQuery — large-scale parallel data ingestion • Redis — caching, job queuing, pub/sub • Signal CLI — secure messaging integration on Linux EC2 • Multi-provider LLM routing (Fireworks AI or similar) • Embedding + vector search (Voyage AI or equivalent) • Automated briefing pipelines — scheduled ingest → summarize → deliver About UsSF-based early-stage AI startup. Yale Engineering founding team. Paying clients. VC-backed. Growing & hiring. • Website: https://www.daemo.ai/ • LinkedIn: https://www.linkedin.com/company/daemo-ai/ • APPLY: https://airtable.com/app16PZxY2eVBKHL0/pagLyUbKm36xxcn8D/form