Backend Engineer, AI Internal Systems

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

Listed on the employer's job board (Ashby)

  • Backend Engineer role
  • AI internal systems
  • Small senior team
  • End-to-end ownership
  • Fast-paced startup

ActAI is developing proactive, AI-native applications to organize daily life and reduce the need for complex prompting. As a Backend Engineer for AI Internal Systems, you will transform how the company operates by building tools that improve efficiency and automate repetitive processes.

You will identify opportunities across various business units, including Recruiting and Finance, to implement intelligent solutions. The team values ownership, requiring engineers to manage features from initial design through to production monitoring and iteration.

What you'll do

  • Build AI-powered internal tools from concept to production
  • Identify areas where AI can improve internal workflows
  • Design and implement intelligent automations and integrations
  • Translate business needs into technical product solutions
  • Collaborate with cross-functional teams to solve problems
  • Own end-to-end execution from idea to deployment

What you'll need

  • Experience in backend, full-stack, or platform development
  • Strong programming fundamentals and problem-solving skills
  • Ability to solve ambiguous problems with strong ownership
  • Experience shipping production software or automation systems
  • Comfortable working independently in a startup environment
  • Effective communication with technical and non-technical staff

Nice to have

  • Experience with APIs and database management
  • Knowledge of cloud infrastructure
  • Background in AI integrations

How you'll work

  • Small, senior, hands-on engineering team
  • Engineers own features end-to-end
  • Code and design reviews for meaningful changes
  • Open architecture discussions and frequent shipping
  • Interviews via virtual meetings or onsite

Hiring process

  • Technical team evaluates applications
  • Schedule 3 to 4 interviews if there is a fit
  • Prompt decision making valued
  • Process may be shorter for exceptional candidates