Full Stack Engineer, AI systems

Bjak · Remote · Germany ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote role
  • Next.js + Python
  • LLM & Agent systems
  • Small high-impact team
  • Fast interview process

Actai is developing proactive AI applications for email, tasks, and calendars, aiming to reduce the need for complex prompting. As a Full Stack Engineer, you will build production-grade workflows that manage planning, tool use, and failure recovery. You will collaborate with ML and product teams to deliver reliable, real-time AI interactions that organize users' daily lives.

What you'll do

  • Build end-to-end features across frontend, backend, and AI integrations
  • Design agent workflows for planning, tool use, and error recovery
  • Integrate LLMs and memory into reliable real-world systems
  • Optimize real-time AI interactions for low latency and streaming
  • Improve system observability, reliability, and fallback mechanisms
  • Collaborate with ML and product teams to ship features efficiently
  • Iterate on products based on real usage data and failure modes

What you'll need

  • Strong full stack engineering experience with frontend and backend
  • Solid understanding of system design and API architecture
  • Experience with LLMs, RAG systems, or AI-powered applications
  • Ability to make pragmatic decisions in ambiguous situations
  • Strong ownership mindset from idea conception to production
  • Comfortable working in fast-moving environments with evolving needs

Stack

  • Next.js
  • Python
  • NodeJs
  • Pytorch
  • OpenAI
  • Anthropic
  • SQL
  • NoSQL
  • Kubernetes
  • Docker

How you'll work

  • Remote work environment
  • Small, hands-on team structure
  • Collective decision-making process
  • Focus on rapid shipping and quality balance

Hiring process

  • Technical team evaluates initial applications
  • Three to four interviews maximum
  • Interviews conducted via virtual meetings or onsite
  • Prompt decision making after final interviews