Jobs ML / AI Engineer

Вимоги:

• 1+рік досвіду у сфері ML / data science / applied AI
• Впевнене володіння Python і бібліотеками (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow)
• Знання процесу: збір даних > препроцесинг > навчання > валідація > продакшен
• Досвід з хмарними платформами (AWS/GCP/Azure) для тренування та деплою моделей
• Розуміння, як працюють MLOps-практики (MLflow, Docker, CI/CD, Kubernetes) — буде плюсом
• Обов’язково практика в одній або кількох сферах: NLP, комп’ютерний зір, time-series, рекомендаційні системи
• Аналітичне мислення та вміння вирішувати складні технічні задачі
   

Обов’язки:

• Розробка, навчання та впровадження моделей ML і DL
• Підготовка та обробка великих датасетів, побудова дата-пайплайнів
• Співпраця з розробниками, аналітиками й продуктовими командами для впровадження моделей у продукт
• Дослідження нових підходів: тестування, експерименти, A/B, fine-tuning
• Оптимізація моделей за продуктивністю, точністю, швидкістю
• Документування архітектури, експериментів і рішень
   

Умови роботи:

• Графік роботи пн-пт з 09:00—18:00 (офіс),
• Своєчасна виплата заробітної плати,
• Роботу у інноваційній компанії,
• Сучасний офіс.
   

Якщо Вас зацікавила наша вакансія

Шукаємо AI Engineer для роботи з сучасними генеративними моделями (image/video generation) та побудови продакшн-рішень на їх основі.

Задачі:

• Робота з моделями text-to-image: Stable Diffusion (SDXL, SD3), FLUX, Midjourney API, DALL·E
• Робота з моделями text-to-video та image-to-video: Runway, Kling, Wan, LTX-Video, CogVideoX
• Налаштування та файн-тюнінг моделей (LoRA, DreamBooth, ControlNet)
• Побудова генеративних пайплайнів та їх інтеграція в продукт через API
• Оптимізація якості та швидкості інференсу (квантизація, батчинг, кешування)

Вимоги:

• Практичний досвід роботи з генеративними AI моделями
• Розуміння принципів роботи diffusion-моделей
• Досвід інтеграції моделей через API
• Базове розуміння оптимізації інференсу
• Досвід роботи з Python та ML-бібліотеками

Буде перевагою:

• Досвід проєктування та розробки мультиагентних систем
• Реалізація агента-оркестратора (планування задач, маршрутизація між агентами, управління контекстом)

Ми пропонуємо:

• Роботу з cutting-edge AI технологіями
• Можливість впливати на продукт і архітектуру рішень
• Віддалений формат роботи

AI Center of Excellence при Міністерстві цифрової трансформації — це команда, яка будує системи національного масштабу, що реально змінюють взаємодію мільйонів громадян з державою. Ми працюємо на перетині передових AI-технологій та публічного управління, вирішуючи задачі, яких немає в жодному комерційному стартапі.

Наші цінності:
Ми віримо в інакШОмислення, що формує майбутнє та відкриває шлях до постійного розвитку. Клієнтоцентричність для нас — не просто підхід, а щоденна практика розуміння й перевершення очікувань людей, для яких ми працюємо. Ми діємо в культурі кооперації та відкритості, де чесність і доброчесність є незмінними орієнтирами. А наша наполегливість дозволяє долати складні виклики та досягати амбітних цілей разом.

Ваша основна місія:
Ви будуєте NLP-системи, які розуміють українську мову в усій її складності — юридичну термінологію, мікс-код, діалекти — і перетворюють мільйони державних документів та звернень громадян на структуровані, зрозумілі та корисні дані. Ваша робота безпосередньо впливає на якість і швидкість державних послуг для кожного українця. Це не черговий fine-tuning на бенчмарку — це інженерія, яка має реальний вимір у житті людей.

У фокусі роботи:
– розробка систем розуміння документів: NER, information extraction зі сканів та PDF, structured output з неструктурованих звернень;
– побудова класифікації та маршрутизації звернень громадян за інтентом, тематикою та терміновістю;
– розробка систем резюмування та переписування державних текстів зрозумілою мовою (plain language);
– створення семантичного пошуку та RAG по корпусах законодавства з урахуванням української морфології;
– fine-tuning та адаптація open-source LLM (Llama, Mistral, Qwen, Gemma) для українських задач із застосуванням LoRA/QLoRA;
– побудова evaluation-фреймворків та benchmark-наборів для задач, де публічних аналогів не існує;
– інтеграція NLP-сервісів у продукти Дії через FastAPI, асинхронні pipelines та забезпечення моніторингу якості в продакшені.

Від вас очікуємо:
– вища освіта бакалаврський або магістерський рівень (буде плюсом у галузі комп'ютерних наук, математики або суміжних дисциплін);
– 3+ роки досвіду в ML/NLP з реалізованими продакшн-проєктами;
– готовність працювати в офісі, в Києві (гібридний формат);
– впевнений Python: ООП, чистий код, async;
– практичний досвід із трансформерами та екосистемою Hugging Face (transformers, datasets, tokenizers, accelerate, peft);
– досвід fine-tuning LLM: full fine-tuning, LoRA, instruction tuning — не лише prompt engineering;
– досвід із RAG та векторними БД (Pinecone, pgvector, Weaviate, FAISS);
– розуміння evaluation NLP-моделей: коли BLEU/ROUGE працюють, а коли — ні, та як будувати task-specific метрики;
– досвід роботи з PyTorch та здатність читати й впроваджувати ідеї зі свіжих research papers.

Буде плюсом:
– досвід роботи з українською або іншими low-resource мовами на продакшн-рівні, знайомство з ресурсами lang-uk, UberText, UA-GEC;
– досвід із document AI (LayoutLM, Donut, OCR pipelines) та MLOps-інструментами (MLflow, W&B, CI/CD для моделей);
– участь у NLP-конференціях або опубліковані papers (ACL, EMNLP, EACL, UNLP).

Ми шукаємо талант, який:
– бачить різницю між "BLEU 35 на бенчмарку" і "система реально допомагає громадянину" — і будує саме друге;
– мислить як дослідник і діє як інженер: перетворює свіжі papers на надійні продакшн-рішення;
– розуміє low-resource контекст української мови та підходить до нього як до унікального виклику, а не обмеження;
– проактивно виявляє системні помилки, edge cases та biases ще до того, як вони потрапляють до користувача.

Ми пропонуємо:
– роботу над NLP-задачами національного масштабу з реальним впливом на мільйони українців;
– доступ до унікальних державних датасетів та співпрацю з провідними експертами в AI, лінгвістиці та публічному управлінні;
– офіс з генератором та безперебійним інтернетом;
– бронювання працівників за умови актуального військового обліку.

Готові до виклику?
Ми шукаємо не просто інженера — ми шукаємо людину, яка зробить українську мову повноцінним гравцем у світі штучного інтелекту та допоможе державі говорити з громадянами їхньою мовою. Якщо ви готові будувати те, чого ще не існує, — ваше місце тут.

We are looking for an experienced AI Engineer to join a project focused on building intelligent solutions for the financial and legal domain. The role is ideal for someone who has strong hands-on experience with machine learning systems and an understanding of regulated environments such as banking, compliance, or legal tech.
 

Key Responsibilities

• Design and develop AI/ML models for real-world financial and regulatory use cases
• Work on systems for legal document processing, classification, and information retrieval
• Build and optimize data pipelines for structured and unstructured financial data
• Collaborate with product and engineering teams to deliver scalable AI solutions
• Ensure model reliability, explainability, and compliance with domain-specific requirements
   

Required Experience

• Proven experience as an AI/ML Engineer or Data Scientist
• Hands-on experience in financial services, banking, or fintech projects
• Experience working with regulatory/compliance-related AI solutions
• Strong background in NLP / document processing / information retrieval systems
• Experience building production-grade ML systems
   

 Tech Stack

• Python
• Pandas, NumPy
• Scikit-learn
• PyTorch and/or TensorFlow
• FastAPI
   

Language Requirements

• Strong English (Upper-Intermediate or higher) is required for daily communication and documentation
   

Nice to Have

• Experience with LLMs (OpenAI, Hugging Face, LangChain, etc.)
• Knowledge of MLOps tools and deployment pipelines
• Experience with vector databases or semantic search systems

We are looking for a Computer Vision / Generative AI Engineer with strong hands-on experience in generative image models and production-grade computer vision pipelines.

The candidate should be able to work deeply with modern image generation models, understand how they work under the hood, adapt them to specific product needs, and turn research or experimental ideas into reliable working systems.

Key responsibilities

• GenAI R&D: Adapt, fine-tune, and deploy FLUX and diffusion models.
• CV Pipelines: Build controlled generation workflows combining GenAI with detection and segmentation.
• Paper-to-Code: Implement cutting-edge research into production-ready features.
• Inference Optimization: Speed up models and reduce GPU costs (quantization, compilation, caching).
• Data Prep: Collect, filter, and annotate high-quality datasets for training.
• API & Deployment: Containerize ML services (Docker) and build scalable APIs.

Key skills and experience

• Strong understanding of modern transformer-based image generation architectures, especially FLUX-based models, including their architecture, training logic, inference process, and practical limitations.
• Ability to build custom inference pipelines on top of base generative models and adapt them to specific product or business requirements.
• Experience building end-to-end computer vision pipelines: reading research papers, documenting findings, collecting and preparing datasets, training models, validating results, and iterating on model quality.
• Understanding of inference optimization concepts such as quantization, compilation, and caching.
• Practical experience with Python, PyTorch, Diffusers, and OpenCV.
• Experience packaging ML/CV solutions into Docker containers and exposing them through APIs for testing and production use.
• Experience working with modern image generation APIs is a strong plus, including Nano Banana and GPT Image.
• Solid general computer vision background and familiarity with common CV tasks such as detection, segmentation and classification.

About the Role & Project

We’re looking for a Senior/ Lead AI Engineer to help build practical AI solutions for real-world business needs.

In this role, you’ll work hands-on with LLMs and GenAI, collaborating with engineers, solution designers, and product teams. You’ll be involved in designing, prototyping, and deploying AI features, with room to grow into more advanced or client-facing responsibilities over time.

Location: Remote / Hybrid (Ukraine / EU), with occasional travel if needed

What You’ll Do

AI Development & Implementation

• Build and integrate AI / GenAI solutions into products
• Work with LLM APIs (OpenAI, Azure OpenAI, etc.)
• Develop and improve RAG pipelines and AI-powered features
• Create PoCs and MVPs to validate ideas

Systems & Integration

• Integrate APIs and third-party services
• Work with databases, including vector databases
• Troubleshoot and optimize existing solutions

Team Collaboration

• Work closely with engineers and solution designers
• Contribute to architecture discussions
• Participate in code reviews

AI-Enhanced Development

• Use tools like Copilot, Cursor, etc. to speed up development
• Apply prompt engineering techniques
• Validate and refine AI-generated outputs

What We Expect

Experience

• 5+ years in software development (Python or similar)
• 1+ year of hands-on experience with AI / LLMs
• Experience building and integrating APIs
• Experience working on real-world projects

Technical Skills

• Python (APIs, async, production-level code)
• LLM basics (prompting, APIs, understanding of RAG)
• REST APIs (GraphQL is a plus)
• SQL + basic knowledge of vector databases
• AWS or Azure (basic level)
• Docker (Kubernetes is a plus)

Nice to Have

• Experience with RAG or AI agents
• AI-related pet projects or open-source contributions
• Some exposure to client communication or presales

Soft Skills

• Clear communication of technical ideas
• Proactive and self-driven mindset
• Comfortable working with some ambiguity
• Willingness to learn and grow in AI

Languages

• English: Upper-Intermediate (B2+)
• Ukrainian: required

What We Offer

• Flexible working schedule
• Remote-friendly setup
• Stable employment
• Paid vacation and sick leave
• Growth opportunities within the project

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal is to enable autonomous engineering at scale, starting with SDLC automation and expanding further: humans steer, agents deliver.
This is a greenfield environment. A dedicated team will build an end-to-end platform on AWS, integrating with internal systems and delivery processes. The target is for 10–20% of JIRA stories to be handled through fully autonomous delivery within 12 months.

We are looking for a self-driven Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is a proactive role - you are expected to identify problems, propose solutions, and drive them independently.
In addition to engineering, ~10% of your time will involve working with internal delivery teams: understanding their SDLC processes, identifying friction points, and feeding insights back into the platform. You will also support adoption by explaining and promoting the solution across teams.

Must-Have Requirements:

• 5-7+ years of full-stack software engineering experience.
• Hands-on experience with agentic coding tools (e.g. Claude Code, GitHub Copilot, Codex, Cursor) and an understanding of how they work underneath: model APIs, tool calling, agent loops, context management.
• Understanding of LLM API and tool-use patterns: function calling, tool orchestration, and the ability to integrate AI models programmatically, not just through existing UIs.
• Ability to evaluate trade-offs between off-the-shelf agentic tools and custom API-based implementations.
• Genuine enthusiasm for and an informed opinion on where agentic tooling is heading.
• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.
• Solid experience in any primary backend language (Java, Python, etc.) combined with React or any other modern frontend framework.
• Proactive, self-driven mindset, able to work independently without detailed instructions.
• Strong communication skills in English (B2–C1).
• Comfortable working in greenfield environments with evolving requirements.

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).
• Camunda experience specifically is a significant advantage given the current architectural direction.
• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.
• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Proactive and self directed, drives outcomes without waiting for direction.
• Comfortable with ambiguity, makes pragmatic decisions when the path is not fully defined.
• Strong technical communication, effectively collaborates with peer engineers to understand domain context.
• Forward thinking, stays current with the AI and agentic tooling landscape and brings new ideas.
• Energized by transforming software delivery, not just a participant but a believer.

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.

The ideal candidate has previous startup experience and is passionate about building products from the ground up. We’re looking for someone who genuinely enjoys coding, solving complex technical challenges, taking ownership, and moving fast in a high-impact environment.

About the Role

We are specifically looking for a Founding Engineer who is skilled enough to drive architecture and infrastructure decisions while remaining deeply hands-on in development.

The key requirements are a startup mindset, ownership, autonomy, and strong technical execution.

You’ll work directly with the founder on both technical and product decisions while helping to shape the company’s engineering culture and technical direction.

What You’ll Do

• Architect, prototype, and build product features from scratch.
• Develop integrations with AI platforms (OpenAI, Perplexity, etc.).
• Build integrations with 3rd-party systems and CRMs.
• Design scalable backend services and APIs.
• Work on AI agents, RAG systems, and prompt engineering.
• Design and optimize SQL databases.
• Build cloud-native infrastructure on AWS/GCP/Azure.
• Implement asynchronous task-processing patterns (RabbitMQ, SQS).
• Collaborate directly with the founder on product and business decisions.
• Help define technical standards and engineering best practices.
• Contribute to a fast-moving startup environment with high ownership.

RequirementsMust-Have

• Senior-level software engineering experience
• 1+ year of startup experience (ideally direct hire at a start up)
• 5+ years of commercial development experience
• Strong hands-on experience with:
  • TypeScript
  • Node.js
  • REST APIs
  • JSON
  • Git
• Experience building AI agents, RAG systems, or LLM-powered products
• Strong prompt engineering skills
• Experience with API integrations
• Strong SQL and database design skills
• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Understanding of asynchronous systems and queues (RabbitMQ, SQS, or similar)
• Strong communication skills and product mindset
• High level of ownership and autonomy

Nice-to-Have

• Previous CTO or technical leadership experience
• Experience with n8n or Make
• Experience building SaaS products
• Experience scaling early-stage startups
• Infrastructure and architecture leadership experience

What We Offer

• Full-time engagement
• Fully remote work
• Long-term cooperation
• Founding member equity
• Opportunity to directly influence company and product strategy
• Fast personal and professional growth
• Freedom, ownership, and real responsibility
• Opportunity to grow into a future CTO role
• Modern AI-first development environment (including Cursor Agent mode)
• U.S. company contract
• Paid vacation days

Recruitment Process

1. Pre-screen with a recruitment manager
2. Pre-screen call witht the startup founder
3. Technical deep-dive interview with a small live coding session
4. Call to meet the team

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.

The ideal candidate has previous startup experience and is passionate about building products from the ground up. We’re looking for someone who genuinely enjoys coding, solving complex technical challenges, taking ownership, and moving fast in a high-impact environment.

About the Role

We are specifically looking for a Founding Engineer who is skilled enough to drive architecture and infrastructure decisions while remaining deeply hands-on in development.

The key requirements are a startup mindset, ownership, autonomy, and strong technical execution.

You’ll work directly with the founder on both technical and product decisions while helping to shape the company’s engineering culture and technical direction.

What You’ll Do

• Architect, prototype, and build product features from scratch.
• Develop integrations with AI platforms (OpenAI, Perplexity, etc.).
• Build integrations with 3rd-party systems and CRMs.
• Design scalable backend services and APIs.
• Work on AI agents, RAG systems, and prompt engineering.
• Design and optimize SQL databases.
• Build cloud-native infrastructure on AWS/GCP/Azure.
• Implement asynchronous task-processing patterns (RabbitMQ, SQS).
• Collaborate directly with the founder on product and business decisions.
• Help define technical standards and engineering best practices.
• Contribute to a fast-moving startup environment with high ownership.

RequirementsMust-Have

• Senior-level software engineering experience
• 1+ year of startup experience (ideally direct hire at a start up)
• 5+ years of commercial development experience
• Strong hands-on experience with:
  • TypeScript
  • Node.js
  • REST APIs
  • JSON
  • Git
• Experience building AI agents, RAG systems, or LLM-powered products
• Strong prompt engineering skills
• Experience with API integrations
• Strong SQL and database design skills
• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Understanding of asynchronous systems and queues (RabbitMQ, SQS, or similar)
• Strong communication skills and product mindset
• High level of ownership and autonomy

Nice-to-Have

• Previous CTO or technical leadership experience
• Experience with n8n or Make
• Experience building SaaS products
• Experience scaling early-stage startups
• Infrastructure and architecture leadership experience

What We Offer

• Full-time engagement
• Fully remote work
• Long-term cooperation
• Founding member equity
• Opportunity to directly influence company and product strategy
• Fast personal and professional growth
• Freedom, ownership, and real responsibility
• Opportunity to grow into a future CTO role
• Modern AI-first development environment (including Cursor Agent mode)
• U.S. company contract
• Paid vacation days

Recruitment Process

1. Pre-screen with a recruitment manager
2. Pre-screen call witht the startup founder
3. Technical deep-dive interview with a small live coding session
4. Call to meet the team

We're building generative image models for character-based children's entertainment, and we're looking for an AI Research Engineer to train, fine-tune, and improve them.

This is a research and model-training role. You'll work from datasets prepared by a separate data cleaning and preparation team. Your job is to make the models better: improve image quality, character consistency, style consistency, and prompt adherence through structured experimentation.

We're looking for someone who reasons scientifically about model behavior, who can look at a failing output and determine why, then fix and test the solution. This requires more skills than simply training a model.

We're delivering industry-leading character and style consistency. You'll be a key part of this team, pushing the boundaries of what's possible for some of the biggest names in entertainment.

What you'll do:

• Train and fine-tune diffusion models (LoRA and related methods)
• Design and run controlled ML experiments: architectures, hyperparameters, training strategies
• Evaluate output quality using visual, quantitative, and human-evaluation methods
• Diagnose failed generations and identify the model-side cause (identity consistency, captions, regularization, LoRA rank, learning rate, architecture limits)
• Improve character consistency, style consistency, and prompt adherence
• Compare outputs across experiments and keep clear experiment logs
• Give the data team specific, actionable feedback on what data improves model performance
• Recommend changes to training strategy based on results

Requirements

• Strong Python and PyTorch
• Hands-on experience training or fine-tuning deep learning models
• Experience with diffusion models and generative image systems
• Experience with LoRA, DreamBooth, or similar fine-tuning methods
• Solid grounding in computer vision and deep learning fundamentals
• Ability to design controlled experiments and isolate variables
• Comfortable interpreting loss curves and debugging training behavior (overfitting, underfitting, dataset bias)
• Strong documentation and experiment-tracking habits
• Able to work independently in a remote, startup-style environment

Nice to have

• Stable Diffusion, SDXL, Flux, ControlNet, IP-Adapter
• Character-consistent and multi-character image generation
• Experiment tracking with Weights & Biases, MLflow, or TensorBoard
• Cloud GPU infrastructure (RunPod, AWS, GCP), Docker, Linux
• Experience with children's media, animation, or illustration content
• MSc, PhD, or research background in AI / computer vision / ML; publications or a strong image-generation portfolio

We are looking for a Machine Learning Engineer to design and implement intelligent systems that power personalized digital experiences across connected devices and mobile applications.

This role is ideal for someone who thrives at the intersection of ML models, data pipelines, and product integration. You will collaborate closely with backend engineers, data scientists, and product managers to bring ML-driven features into production and continuously optimize them based on real-world usage.

Responsibilities:

• Design, train, and deploy machine learning models for use cases such as personalization, recommendations, and visual analysis;
• Build and maintain scalable, production-grade data pipelines (batch and real-time);
• Collaborate with product and engineering teams to translate product ideas into ML-powered features;
• Implement model observability, monitoring, and retraining workflows;
• Optimize inference performance and model serving in resource-constrained environments (e.g., edge or mobile);
• Contribute to the architecture of a modern ML platform within a cloud-native microservices environment;

• Work with backend teams to expose model outputs via APIs and integrate them into customer-facing experiences.

   

Requirements:

• 3+ years of experience in applied machine learning or data science;
• Strong knowledge of:
  • Supervised learning, recommendation systems, or computer vision;
  • Python and ML libraries such as TensorFlow, PyTorch, scikit-learn;
  • Building, deploying, and maintaining ML models in production.
• Familiarity with:
  • MLOps tools (e.g., MLflow, TFX, Airflow, Vertex AI);
  • Data pipelines and messaging systems (e.g., Kafka, BigQuery, dbt);
  • Model serving frameworks (e.g., FastAPI, TensorFlow Serving, TorchServe, ONNX);
• Comfortable collaborating with product, engineering, and analytics teams;
• Experience with cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• Bonus: Experience with edge AI, mobile ML, or video/image processing pipelines.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

Quantum Systems next-generation unmanned solutions across air, land, and sea. From advanced aerial drones to underwater and ground platforms, our systems combine cutting-edge hardware with AI-driven software for seamless control and real-time data insights. Trusted by defense, security, and public sector clients worldwide, we redefine mission versatility and performance.

Quantum-Systems is a strong supporter of Ukraine and has it’s local Ukrainian office since 2022.
 

The role is based in Kyiv, and we expect you to work full-time in the office.
 

What is your Day to Day Mission:

• Lead team of ML Engineers
• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance
• Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

• 8+ years of experience in AI/ML, with a strong focus on computer vision
• Strong Leadership experience
• Experience building ML infrastructure and training pipelines
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus
• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies
• Understanding of object re-identification or multi-target tracking

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance
• Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

 Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

• Project Description:

  Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal LLM-powered assistant that uses hosted LLM APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

• Responsibilities:

  • Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)
  • Improve indexing and retrieval performance and quality (chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching) and support hybrid retrieval capabilities (vector + keyword/BM25 + metadata)
  • Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests
  • Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.
  • Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history
  • Develop and maintain evaluation and regression testing (golden sets, automated scoring) and support structured comparisons across LLM providers/models as required
  • Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

• Mandatory Skills Description:

  8+ years of hands-on experience in Data Science and 5+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.
  Strong programming skills in languages such as Python and familiarity building ETL pipelines.
  Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases (Open Search or Elastic Search)
  Familiarity with AWS cloud platform and its services.
  Experience with version control systems (e.g., Git) and CI/CD pipelines.
  Ability to build scalable infrastructure to embed and search very large number of documents.
  Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
  Expertise in ML inference optimizations
  Solid experience with Hybrid RAG, chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching, etc.
  Knowledge of network optimization for distributed ML training and inference.
  Understanding of distributed training patterns and checkpointing strategies.
  Strong English skills (B2 and higher)
  Strong verbal and written communication skills.
  Ability to work independently and collaborate in a group.

• Nice-to-Have Skills Description:

  Agile certification
  Oracle/Microsoft attestations and certifications
  Domain knowledge - Trading and Capital Markets

• Languages:
  • English: C1 Advanced

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!