Full-Stack AI Engineer

AGENTPRESS INC.
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 104K

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Continuous Integration
Github
PostgreSQL
Node.js
Redis
Next.js
Data Streaming
Systems Integration
TypeScript
WebSocket
Tailwind
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
Backend
Data Layers
Codebase
Front End Software Development
Virtual Agents
Docker

Job description

AgentPress is hiring a hands-on contract Full-Stack AI Engineer to build full-stack product, AI agent orchestration systems, embeddable widgets, and enterprise integrations. You'll work directly with the VP of Engineering across the entire stack. 1099 contract, remote, 40 hrs/week, paid weekly. Must reside in the US or Canada and overlap 4-6 hrs/day with US time zones.

What you'll do: Build and ship end-to-end features across Bun/Hono/Elysia backends, React/Next.js frontends, and PostgreSQL data layers. Work within our AI agent orchestration system: tool execution pipelines, RAG retrieval, multi-agent coordination, and real-time streaming via WebSockets. Develop and maintain embeddable IIFE chat widgets across client environments with complex CSP constraints. Interface directly with enterprise clients and troubleshoot production issues. Contribute to infrastructure: CI/CD, BullMQ, Redis, monitoring.

Tech stack: Bun, Hono, Elysia, Express, Node.js, BullMQ, Redis; React, Next.js, Tailwind, ShadCN, Radix UI; PostgreSQL, PGVector, Drizzle ORM; Vercel AI SDK, OpenAI/Anthropic/Google APIs, RAG pipelines, MCP integrations, Claude Code; AWS, Docker, GitHub Actions, Turborepo, Clerk.

Requirements

Do you have experience in Prompt engineering?, Strong TypeScript across frontend and backend. Solid React plus at least one Node.js server framework (Bun, Hono, or Next.js a strong plus). Comfort with PostgreSQL. Ability to read and extend an existing codebase. Excellent written and verbal English. Self-directed work ethic and experience with AI/LLM tooling, prompt engineering, RAG, or agent architectures. Prior work owning features end to end, preferably in a startup. Willing to overlap 4-6 hours on weekdays with US time zones.

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