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 Role

Daemo 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 Us

SF-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