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

Daemo

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