Full-Stack AI Builder

Full-stack AI Builder (Jun-Mid)

 *(Not a typical junior role)*
 
 Note: Confident English is required for this role. If you have difficulty understanding this job description, unfortunately, this position is likely not a good fit for you.
 Note: Applications without a cover letter are likely to be skipped automatically

Who we are looking for

 
 An early-career engineer, strong junior or junior-to-middle. This is not a classic junior position.
 
 This role is for someone who wants to:
 
 - be a builder, not just an executor
 - work on several real products at the same time
 - take responsibility for technical decisions
 - learn fast and adapt to new tools
 - use AI as a practical instrument, not just as theory
 
 Your background
 Commercial experience is optional. Strong pet projects, prototypes, MVPs, and experiments are fully acceptable if it is clear you built things yourself.

Our projects and workload

 
 There will be multiple projects, and they will be different.
 
 Most of the time you will work on 3 to 4 projects in parallel, occasionally 1 to 2.
 
 All projects include an AI component, but in different roles:
 
 - in some projects AI is the core of the product
 - in others it is an important layer on top of a more classic system
 
 Work formats vary:
 
 - in some projects you will be the only technical person, covering architecture, development, deployment, and support
 - in other projects you will join a team with more senior engineers and focus mainly on AI integration and AI-related components
 
 There is often no close supervision. You are expected to be autonomous from day one and comfortable taking ownership.

AI and technology

 
 What matters most is understanding how AI systems are actually built and shipped today.
 
 Minimum expectations
 
 - hands-on experience or strong practical understanding of LLM (and other modalities) APIs
 - experience with vector databases
 - experience with orchestration and building AI pipelines
 
 A deep ML background is not required, but deeper understanding is a strong plus.
 Integrating existing models and building working systems is the baseline.
 
 We do not lock you into a fixed stack. What matters is that you:
 
 - understand modern frontend and backend approaches
 - know what is considered relevant today
 - can choose tools pragmatically and learn fast

 Mindset

 
 We are looking for someone who:
 
 - prototypes fast and is not afraid to experiment
 - is comfortable operating between research and applied engineering
 - proposes AI use cases instead of only implementing predefined tasks
 - has their own view on how AI technology is evolving
 
 Interest in agent-based systems, multimodal AI, and robotics AI is a strong plus.

 Main project directions

 
 Initial focus will be around several directions, including:

Robotics software

 
 Building software for robots, including applications running on robot tablets for autonomous, intelligent interaction in specific use cases.
 Here you will work with a more senior engineer.

Foodtech

 
 Automation of a food delivery business. Custom ERP, AI automations on top of it, client-facing applications, and internal IT infrastructure.
 Here you will work independently.
 
 This is not a closed list. There will be more projects, and they will differ significantly.

 Work format

 
 - Fully remote, at least for the first year
 - No preferred time zones
 - Full-time is preferred. Part-time is possible only in rare cases
 - Direct work with the founder. No management layers
 - International context and projects across different markets
 - Confident English is required for day-to-day communication
 
 Location note
 The candidate must be located outside of Russia or be ready to legalize and relocate within 1 to 3 months. We can help with legalization.

 Compensation and collaboration format

 
 Collaboration format is flexible:
 - fixed contract with monthly salary and bonus component
 - ongoing hourly-based contract with monthly settlements
 - possible to start with one format and switch to the other
 
 There is potential participation in successful projects through options or equity. 

Strong advantages

 
 - Relevant education in Computer Science, AI, ML, or related fields
 - Personal projects built from scratch
 - AI-powered pet projects
 - GitHub, demos, prototypes
 - Desire to build products quickly, not only write clean code

 In short

 
 This role is for someone who wants to build real AI-powered products, work across multiple projects at once, grow fast, and operate with a high level of ownership instead of following a traditional junior career path.

 Contacts

 TG: Показать контакты
 email: alex@dblbr.com