What are the responsibilities and job description for the Full Stack/Backend Engineer position at Daemo AI?
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
Salary : $100,000 - $200,000