Career - Obuda Uni Venture Capital

Discover our latest job opportunities

If you’re looking to work at exciting, fast-growing startups, you’re in the right place. Our portfolio teams are currently looking for new colleagues for internships, part-time roles or even full-time positions.

Browse our latest open roles and apply in just a few clicks!

How to apply: Send your CV and (if available) your GitHub/GitLab link to adam@outfino.com.

OUTFINO

Junior Flutter Developer

We are looking for a Junior Flutter Developer (20 hours/week) to join our fashion tech startup, Outfino Europe Ltd. We are building an intelligent outfit recommendation system that uses artificial intelligence to help people create better, more personalized looks, while making shopping faster, more enjoyable, and more efficient.

Our team is small and agile, which means fast decision-making, direct communication, and real impact from your work.

What will you be working on?

Developing a modern, flutter-based mobile application for Outfino’s core functionality
Collaborating closely with the design, AI, and backend teams
Using and integrating REST APIs
Feature development, bug fixing, and performance optimization
Mobile-side integration of AI-driven features (e.g. outfit recommendations, visual models)

We’re happy to teach you our backend technologies (Node.js, Express, PostgreSQL, Claude Code), prior knowledge is not required.

What do we expect from you?

Solid foundations in Flutter and Dart
Ability to build UIs independently and think in reusable components
At least one small personal or school project
Strong motivation to learn and openness to AI-based technologies
A structured, clean coding mindset
Familiarity with Git version control

What do we offer?

A fast growth path: Flutter → Full-stack
Direct impact on the future of the product
Opportunity to work on AI-driven features and innovative fashion tech solutions
An inspiring startup environment where your opinion truly matters

DinkMate

Data Scientist / ML Engineer (Remote, Entry-Level)

We are looking for a motivated and detail-oriented Data Scientist / ML Engineer with strong Python skills and solid foundations in Machine Learning and Deep Learning. This position is ideal for Master’s students or recent graduates who want to grow their expertise in a collaborative, fast-paced environment.

Work location: Intelligent Vision Ltd. (Székesfehérvár, Hungary)

Key responsibilities:

Develop and maintain Deep Learning models and Computer Vision algorithms
Manage and process video and image datasets
Collaborate with front-end developers, back-end developers and product managers
Use, train and fine-tune custom object detection/segmentation models (YOLO, Dinov2, SAM)
Using different tracking algorithms (ByteTracker, DeepSort, Kalman Filter etc.)

Required skills and experience:

Enrolled in or recently graduated from a Master’s program in Computer Science, Data Science, Software Engineering, or a related field
Strong knowledge of Python
Strong knowledge of Mathematics and Statistics
Understanding of RESTful APIs and integration techniques
Experience with version control systems (e.g. Git)
Analytical and problem-solving skills
Communication and teamwork abilities
Familiarity with Computer Vision, object detection and tracking is a plus
Experience with AWS is a plus
Experience with OpenCV and PyTorch/Tensorflow is a plus

Salary: 5.000-6.000 HUF / hour (part-time) or 180.000 HUF / month (internship)

How to apply: Send your CV to marcell@dinkmate.ai.

How to apply: Send your CV to eszter.vezden@axem.dev, or apply directly on the Axem website by clicking the button below.

AXEM

Software Engineer - AI Infrastructure

As a rapidly growing startup company we are looking for a software engineer who has hands-on experience in distributed systems. Experience with AI infrastructure, particularly serving inference at scale, is a plus.

Work location: Budapest, Hungary

This is a cross-functional role around the target infrastructure:

Deploying AI workloads to the cloud
Deploying AI workloads to on-prem clusters
Building up on-prem clusters
Managing cloud resources

What you’ll do:

Build and scale a robust AI/ML infrastructure for inference
Create a smooth, efficient flow for staging, deploying, and monitoring AI inference services

What you should have:

Master’s Degree in Computer Science, Machine Learning, or a related field
At least a few years of industry experience in a software engineering role in the field of distributed computing
Strong software engineering skills with experience, preferably in Python and Go
Hands-on experience with High-Performance Computing (HPC) grade infrastructure as well as in-depth knowledge of accelerated computing, scheduling & orchestration, and high-speed networking
Containerization knowledge (building, storing, and distributing images)
Understanding of cloud platforms (GCP, AWS, Azure)
Expertise in IaC (Pulumi, Terraform, Helm)
Have independently built and maintained Kubernetes clusters on bare-metal
infrastructure, from node setup and networking to deployment orchestration
Experience with observability/monitoring stack (Prometheus, Grafana)
Passion for continual learning and keeping abreast of new technologies and effective approaches in the AI/ML infrastructure field
Fluent in English

What we offer:

Salary: Competitive and fair – we know passion doesn’t cover the rent, so we make sure your work is properly valued.
Young, dynamic work environment: Work alongside ambitious teammates who get things done.
A front-row seat to innovation: Join us at the ground floor and shape something meaningful. Your voice will be heard
Flexible working hours & remote-friendly: We care more about your output than your punch-in time. Morning bird, or night owl? You do you.
No corporate nonsense: We believe in smart processes, not bureaucracy.

Stay up to date with new opportunities!

Didn’t find the right position for you? No worries, our listings are updated regularly. And if you don’t want to miss out on the latest opportunities, subscribe to our career newsletter! (We’ll only send you new job opening. No spam, we promise.)