Why This Job is Featured on The SaaS Jobs
This Full Stack/Backend Engineer role stands out in the SaaS landscape because it sits at the intersection of product delivery and platform engineering inside an AI-driven, customer-facing software business. The remit spans data ingestion, LLM-powered summarisation, and a web portal, reflecting how modern SaaS products increasingly blend application UX with proprietary data workflows and model orchestration. The listing also signals an early-stage environment with real customers, where engineering choices quickly translate into shipped functionality.
For a SaaS career, the value here is breadth with accountability. Owning the path from data model to API to UI to deployment mirrors the end-to-end execution expected in smaller SaaS teams and remains highly portable to later-stage companies that still prize product-minded engineers. Exposure to multi-tenant security, real-time streaming patterns, and production debugging across pipelines maps directly to common SaaS scaling challenges, even when the underlying domain changes.
This position best fits an engineer who prefers full-stack ownership over narrow specialisation and is comfortable moving between TypeScript, Python, databases, and infrastructure details. It will appeal to professionals who like working close to product behaviour and reliability concerns, and who are motivated by building systems that must perform for paying users rather than prototypes alone.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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
