AI Systems Full-Stack Engineer — Real-Time Workflows

United States Digital Space LLC; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

ActAI is building AI-native workflows that are reliable and scalable. We’re seeking a Full Stack Engineer - AI Systems to design the product layer, agents, and real-time interactions.

You will ship end-to-end features across frontend, backend, and AI integrations with a focus on latency, reliability, and scalable architectures. Join a fast-moving team to collaborate with ML, backend, and product squads, continuously iterating on real usage and failure modes to deliver proactive, dependable

Qualifications

• Strong experience in full stack engineering (frontend + backend).
• Solid understanding of system design and API architecture.
• Experience working with LLMs, RAG systems, or AI-powered applications.
• Ability to handle ambiguity and make pragmatic engineering decisions.
• Strong ownership - able to take features from idea to production.
• Comfort working in fast-moving environments with evolving requirements.

Responsibilities

• Build end-to-end product features across frontend, backend, and AI integrations.
• Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
• Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions.
• Design real-time AI interactions with streaming, partial results, and tight latency constraints.
• Improve system reliability, observability, and fallback mechanisms.
• Collaborate closely with ML, backend, and product teams to ship features end-to-end.
• Continuously iterate based on real usage and failure modes.

Skills

Full stack engineering

System design

LLMs / RAG

Ownership

Tools

Next.js

Python

NodeJs

Pytorch

OpenAI / Anthropic / open-source LLMs

SQL & noSQL

Kubernetes

Docker

Job description

ActAI is building AI-native workflows that are reliable and scalable. We’re seeking a Full Stack Engineer - AI Systems to design the product layer, agents, and real-time interactions.

You will ship end-to-end features across frontend, backend, and AI integrations with a focus on latency, reliability, and scalable architectures. Join a fast-moving team to collaborate with ML, backend, and product squads, continuously iterating on real usage and failure modes to deliver proactive, dependable