About OddBytes/Bravo Systems

Whether it’s a creator growing their audience, a shopper finding their style, a brand reaching the right audience, or a reader discovering something new, we’re here to make those moments feel seamless, relevant, and even a little fun.

We’ve been doing this for over 20 years, combining product insight, marketing expertise, and smart monetization to connect millions of users with what they care about most. And we’re just getting started.

Where We Work

We’re a distributed team, with roots in California and strong, long-standing partnerships across Europe. That means we work across time zones, locations, and cultures, without losing alignment or momentum.

• Huntington Beach, CA
• Banja Luka, Bosnia and Herzegovina
• Belgrade, Serbia

Our Banja Luka and Belgrade teams work across product, engineering, QA, and design. They’re central to how we operate and grow. This is decades of experience, a culture of technical rigor, and a shared sense of ownership to everything we build.

Who You’ll Join

We’re 150+ people strong, and our structure is built to be cross-functional teams that ship smart and move fast. If you're someone who likes autonomy and accountability, you'll feel right at home.

What We’re Building

Here are a few of the projects that define our current focus:

Chirp

Every link tells a story. This one earns too.

Chirp is a free, customizable bio link built to be shared and designed to earn. Creators and brands can monetize through ad-sharing, brand partnerships, and more. All from one beautifully designed link.

Ads appear inside Chirp links, never over content or hijacking feeds. They’re automatically matched to audiences using smart targeting, so earnings grow passively alongside engagement.

Shopping

A socially driven shopping platform for fashion discovery. With AI styling tools and creator-inspired trends, Shopping helps users go from inspiration to checkout in just a few taps.

Centralized Monetization Platform

Platform refers to a system where a central platform manages and distributes campaigns, data, or content across multiple connected channels or endpoints. It's strategic model used to streamline operations, unify reporting, and scale campaigns efficiently.

And that’s just part of the picture.

We also run a mobile app distribution network, a content monetization platform for publishers, and a portfolio of web properties that fuel ongoing revenue.

About the role

Role Description

Oddbytes is looking for a Generative AI Engineer to help us prototype, build and deliver production-ready AI solutions. In this role, you’ll work hands-on with state-of-the-art models, explore emerging tools and turn ideas into features that create real impact.

We’re seeking someone highly technical, adaptable and creative, someone who enjoys experimenting with generative AI, fine-tuning models and building reliable pipelines that drive business value.

Responsibilities

• Build, deploy and validate Gen AI features.
• Develop, fine-tune and maintain classic ML models across tasks such as classification, regression, recommendation and clustering.
• Own the full lifecycle of AI/ML features from prototypes to production. This includes rapid POCs, data preparation, training, evaluation, deployment through our platform and monitoring.
• Develop and maintain RESTful APIs for model deployment and integration with existing systems.
• Stay ahead of the curve by monitoring AI trends, research papers, new tools and applying them to business challenges.
• Set best practices for evaluation, monitoring and responsible AI in a fast-moving environment.
• Leverage AI assistance (copilots, code agents and automation) to move faster and compress engineering timelines.
• Work closely with product and engineering to deliver AI-powered features.

Requirements

• 5+ years of professional software engineering experience (post-BS/MS) with focus on AI/ML systems
• Hands-on experience with building and deploying Gen AI and ML features in production.
• Proficiency in Python/Java and modern ML frameworks.
• Working experience with SQL/NoSQL databases.
• Experience with multimodal models, vector databases, retrieval systems, AI agents.
• Proven track record in working with LLMs: fine-tuning, prompt-engineering strategies and model adaptation for real-world use cases.
• Strong background in building and integrating RESTful APIs and deploying models at scale.
• Experience with container orchestration (Docker, Kubernetes) and cloud platforms (AWS).
• Comfortable working cross-functionally in fast-paced environments.