Backend Engineer, AI Internal Systems

Bjak · Remote · United States ·
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
  • Fully remote setup
  • Senior team culture
  • End-to-end ownership

You will develop internal AI solutions to enhance efficiency and decision-making across various business functions. The work requires translating complex business needs into technical products, handling everything from initial design to deployment and monitoring.

The team operates with a strong focus on ownership, requiring engineers to manage features end-to-end. You will collaborate closely with non-technical stakeholders to solve ambiguous problems and ship frequent updates in a fast-paced startup environment.

What you'll do

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

What you'll need

  • Experience in backend, full-stack, or platform development
  • Strong programming fundamentals and problem-solving skills
  • Proven track record of shipping production software
  • Ability to work independently in a fast-paced startup
  • Strong ownership mindset for ambiguous problems
  • Effective communication with technical and non-technical staff

Nice to have

  • Experience with APIs and database management
  • Knowledge of cloud infrastructure services
  • Background in AI integrations or automation systems

How you'll work

  • Small, senior, and hands-on engineering team
  • Engineers own features from design to monitoring
  • Regular code and design reviews for changes
  • Open architecture discussions and quick decisions
  • Frequent shipping cycle

Hiring process

  • Technical team evaluates all applications
  • Three to four interviews maximum if fit is found
  • Interviews conducted via virtual meetings or onsite
  • Prompt decision process valued for efficiency