Full Stack Engineer
— · San Francisco, US
Job description
Full Stack Engineer
**San Francisco based start-up**
Delamain AI is an enterprise intelligence platform serving federal and state government affairs and policy advisory firms (trade, defense, financial services). 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
Domain Knowledge(Nice-to-have)
U.S. federal & state government affairs, policy, and legislative process
Policy domains: trade, defense, financial services
Pay: $90,000.00 - $170,000.00 per year
Benefits:
- Visa sponsorship
Work Location: In person
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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