ML/AIWork

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

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$90,000 – $170,000/yr
San Francisco, US
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