(Not a typical junior role)
Для этой роли нужно уверенное владение английским языком. Если у Вас возникли сложности с чтением этой вакансии, к сожалению, вероятно, она не для Вас :(
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.
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.
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
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.
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.
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
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.
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
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.