Back-End / AI Engineer - Full-time - Worldwide

Arc Full-time
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

API
Artificial Intelligence
Business Logic
Audit Trail
Databases
Fault Tolerance
FFmpeg
PostgreSQL
Node.js
Platform as a Service (PAAS)
Query Optimization
Queue Management Systems
Next.js
Search Technologies
Twilio
TypeScript
Video Editing
Data Ingestion
Large Language Models
Multi-Agent Systems
Prompt Engineering
Backend
Api Design

Job description

Own the AI and infrastructure layer: multi-agent orchestration on Anthropic Claude API, RAG pipelines on Supabase + pgvector, agent memory and audit logging, tool calling architecture, and our self-hosted FFmpeg video pipeline (ClipForge).

Stack: Next.js 14 API routes, TypeScript, Supabase (Postgres, RLS, pgvector), Railway, Anthropic Claude API, FFmpeg, Resend, Twilio.

What You'll Do

  • Design and implement multi-agent workflows with Claude API: coordination, tool calling, memory, audit logging
  • Build RAG pipelines with pgvector: embeddings, vector search, data ingestion
  • Develop scalable Next.js 14 APIs with proper auth, rate limiting, RLS policies
  • Maintain ClipForge video rendering pipeline with queue management and error handling
  • Harden infrastructure under load: monitoring, alerting, circuit breakers, graceful degradation
  • Integrate Resend (email) and Twilio (SMS) for notifications

Requirements

Node.jsPostgreSQLTypeScriptVector databases, Must Have:

  • Shipped production AI systems where LLMs make tool calls, retrieve from vector stores, and operate in business logic at scale (not research, not just prompt engineering)
  • 5+ years senior backend engineering: APIs, databases, infrastructure
  • Expert TypeScript/Node.js
  • Deep PostgreSQL knowledge: query optimization, RLS
  • Hands-on vector database experience (pgvector, Pinecone, Weaviate, Qdrant)
  • Direct experience with Anthropic Claude API, OpenAI API, or similar LLM APIs

Strongly Preferred:

  • Next.js 14 API routes
  • FFmpeg or video processing
  • Queue systems (BullMQ, Inngest)
  • Railway or similar PaaS
  • Production scaling experience

About the company

UHP is a veteran-focused training institution near Bentonville, AR, building infrastructure to transform technical education delivery at scale. We're launching a multi-agent AI platform with a hard July 13, 2026 production deadline.

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