- Location
- San Francisco, CA, United States · Onsite
- Compensation
- $90k – $170k • No equity
- Employment
- Full-time
- Experience level
- MID (2–5 years exp)
- Specialization
- Software Engineer, Wellfound
- Source
- Wellfound
Full Stack Engineer
San Francisco based start-up Delamain AI is an intelligence platform serving middle-market firms. 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
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 ingestionRedis — 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