Full Stack Engineer
Core
Building an intelligence platform for middle-market firms, owning the full stack from real-time data pipelines and LLM summarization engines to the user-facing web portal.
Role type
Full Stack Engineer (AI/LLM focus)
Builds
Real-time data pipelines, LLM summarization engines, and user-facing web portals for middle-market firms.
Domain
Artificial Intelligence / Large Language Models / Middle-market SaaS
Deliverable
production ML models | product features
Required skills
TypeScript, Python, SQL, MongoDB, Bash/Shell, Next.js, React, Node.js, Docker, Linux, LLM API integration, Prompt engineering, Agent architecture, Web scraping, Real-time streaming (SSE/WebSockets), Multi-tenant security
Preferred skills
Rust, AWS Bedrock, Google BigQuery, Redis, Signal CLI, Multi-provider LLM routing, Embedding + vector search, Automated briefing pipelines
Technologies
Next.js, React, Tailwind CSS, shadcn/ui, NextAuth.js, Node.js, OpenAI-compatible API, MongoDB Atlas, Docker, Docker Compose, Linux, tmux, EC2, Playwright, BeautifulSoup, AWS, Cloudflare, GitHub Actions, Voyage AI, Fireworks AI
Responsibilities
Own full stack ownership from data model to API to UI to deploy; design async/concurrent systems and data pipeline architecture; execute web scraping at scale with anti-bot evasion; implement real-time streaming for agent responses; debug production multi-stage pipelines; enforce multi-tenant security with data isolation and access control; integrate LLM APIs for chat completions, tool calling, and context management; engineer prompts for summarization and research agents; build multi-step agent architectures with memory patterns and RAG; evaluate AI output for hallucinations and guardrails.
Seniority
Mid-to-Senior, hands-on IC