Jobs

Hello! We, VMK GROUP, are a young and successful IT company.
We started in 2022, a difficult year for Ukraine, so we are happy to join the companies that support the economy of our country!

Today, our company encompasses three primary divisions:

VMK Group - Software development
VMKhealth - Full-cycle pharmaceutical digital agency
VMKteam - IT recruiting and staffing.

Each division is represented by a team of experts specializing in technical and industry-specific matters. Currently, our projects are being developed not only in Ukraine but also internationally.

Now VMK GROUP is actively developing, we are creating additional jobs, so we are looking for AI Engineer for part-time.

To understand what to expect, you should know something about us.

VMK GROUP is a company that will give you the opportunity to prove yourself and realize your creative potential. Your workload will be matched to your workload. We know how to hear and understand people.

We are a team of responsible, independent creators united by a common mission, where everyone is important and everyone has influence. We have an important task to make each of our projects successful, interesting, cool, and of high quality.

Responsibilities

-Set up an AI-powered chatbot to handle user queries on WhatsApp (GupShup / Twilio API).
-Integrate an LLM with Airtable to retrieve real-time service information.
-Implement Retrieval-Augmented Generation (RAG) for accurate responses.

- Development of Computer Vision solutions (OCR, Object Detection, Video Analytics)
-Optimize chatbot responses for real-time interaction.

Requirements

-Experience working with LLMs (GPT, Claude, Gemini) and NLP.
-AI solution integration via APIs (WhatsApp API, Airtable API).
-Chatbot development and business process automation.
-Proficiency in Python (FastAPI / Flask) or No-Code AI tools.
-Knowledge of LangChain, LlamaIndex, RAG frameworks.

What do we offer?

• Flexible work schedule;
• Remote work;
• Fast-paced team environment;
• Opportunity to communicate with experienced teams;
• Access to training materials in various fields;
• Standard vacation, sick leave, and exceptional leave package;
• Competitive compensation.
   

If you have such experience and are ready to work for quality and results, we will be happy to continue our communication.
We are waiting for your resume.
 

Про компанію VMK GROUPDevelopment and support of creative technical solutions
More than 7 years of experience that helps building effective products and marketing strategies

About the client:

Since 2002, the client has been a market leader in automotive claims management, processing over 18 million vehicle claims annually with a global team of more than 1,000 employees. Operating in over 30 countries, the company specializes in digital solutions that optimize vehicle damage processing for insurance companies, car dealerships, repair shops, leasing firms, and automotive manufacturers. By leveraging automation, advanced technologies, and industry expertise, the client continuously enhances efficiency and accuracy in claims handling. An in-house research and development team drives innovation, tailoring solutions to local market needs while advancing digital transformation in the industry. 

Your Role:

As a Senior DS/AI Engineer, you will play a key role in shaping the future of digital automotive claims management by developing advanced AI and machine learning models. Working within a diverse and collaborative team of 30 data scientists, you will explore innovative research approaches and build intelligent systems that enhance the accuracy and efficiency of insurance-related processes. You will leverage state-of-the-art techniques in computer vision, large language models (LLMs), and multimodal AI to create impactful solutions tailored to the specific needs of the insurance and automotive industries.
Your responsibilities will include developing foundation models and intelligent systems that are capable of processing complex data inputs, improving claim automation, and supporting digital transformation. This is an opportunity to apply your deep technical expertise in a forward-thinking, international environment where data-driven innovation meets real-world impact.

Key Responsibilities:

• Collaborate within a cross-functional team of 30+ data scientists and AI/ML experts to drive research and innovation in the image processing & recognition field
• Develop and deploy cutting-edge machine learning and AI models, including computer vision, LLMs, and multimodal solutions.
• Design and train proprietary foundation models tailored to automotive and insurance industry needs.
• Translate complex technical concepts into scalable digital solutions that enhance claims processing efficiency.
• Continuously evaluate and integrate emerging AI technologies to ensure high performance and accuracy.
• Contribute to the company’s R&D efforts to advance AI innovation and digital transformation.
  
   

Requirements: 

• Qualifications: Degree in mathematics, computer science, data science, engineering, physics, or a related field.
• 5+ years in data science with proven experience in ML, DL, and data analysis using Python and PyTorch.
• Proficient in applying data science methods, building predictive models, and deploying AI solutions.
• Strong analytical mindset, proactive attitude, and ability to communicate complex topics clearly to both technical and non-technical stakeholders.
• Experience within the insurance or automotive industries.
• Excellent English communication skills (written and verbal); German is a plus.

We are currently looking for a Machine Learning Engineer to join a technology company specializing in navigation hardware for aerial vehicles. This is a fully remote position.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Perform data analysis to evaluate data quality, identify trends, and ensure suitability for machine learning experiments.
• Prepare and preprocess datasets, ensuring best practices for model generalization and robustness in ML models.
• Prototype and optimize data processing pipelines, collaborating with the DevOps team for seamless deployment.
• Design, train, and evaluate ML models in collaboration with senior engineers.
• Analyze experiment results, identify potential pitfalls, and propose improvements for model performance.

• Proactively communicate key findings, intermediate analyses, and experiment results to stakeholders and partners, translating insights into actionable recommendations.

   

Required skills:

• Upper-intermediate, preferably Advanced English.
• Master’s or PhD degree in Computer Science, Machine Learning, Robotics, or a related field.
• Commercial experience in Machine Learning, Robotics, or a related field.
• Solid command of Machine Learning, Statistics, and Signal Analysis.
• Hands-on experience with Python and ML frameworks such as TensorFlow or PyTorch, SciPy, and Scikit-learn.
• Strong understanding of data preprocessing, feature engineering, and model evaluation.
• Familiarity with supervised and unsupervised learning techniques applied to sensor or image data.

• Basic understanding of software engineering principles, including version control (Git) and containerization (Docker).

   

Preferred qualifications:

• Command of at least one other language for data analysis, such as R and Scala.
• Familiarity with the Spark data analysis framework.
• Exposure to robotics, reinforcement learning, SLAM (Simultaneous Localization and Mapping), or sensor fusion.
• Experience working with real-time sensor data (e.g., LiDAR, camera, IMU).

• Understanding of cloud-based ML model deployment and optimization techniques.

   

Note! When possible, add a link to your GitHub and any code examples with your application.

Hello! We, VMK GROUP, are a young and successful IT company.
We started in 2022, a difficult year for Ukraine, so we are happy to join the companies that support the economy of our country!

Today, our company encompasses three primary divisions:

VMK Group - Software development
VMKhealth - Full-cycle pharmaceutical digital agency
VMKteam - IT recruiting and staffing.

Each division is represented by a team of experts specializing in technical and industry-specific matters. Currently, our projects are being developed not only in Ukraine but also internationally.

Now VMK GROUP is actively developing, we are creating additional jobs, so we are looking for AI Engineer for part-time.

To understand what to expect, you should know something about us.

VMK GROUP is a company that will give you the opportunity to prove yourself and realize your creative potential. Your workload will be matched to your workload. We know how to hear and understand people.

We are a team of responsible, independent creators united by a common mission, where everyone is important and everyone has influence. We have an important task to make each of our projects successful, interesting, cool, and of high quality.

Responsibilities

-Set up an AI-powered chatbot to handle user queries on WhatsApp (GupShup / Twilio API).
-Integrate an LLM with Airtable to retrieve real-time service information.
-Implement Retrieval-Augmented Generation (RAG) for accurate responses.

- Development of Computer Vision solutions (OCR, Object Detection, Video Analytics)
-Optimize chatbot responses for real-time interaction.

Requirements

-Experience working with LLMs (GPT, Claude, Gemini) and NLP.
-AI solution integration via APIs (WhatsApp API, Airtable API).
-Chatbot development and business process automation.
-Proficiency in Python (FastAPI / Flask) or No-Code AI tools.
-Knowledge of LangChain, LlamaIndex, RAG frameworks.

What do we offer?

• Flexible work schedule;
• Remote work;
• Fast-paced team environment;
• Opportunity to communicate with experienced teams;
• Access to training materials in various fields;
• Standard vacation, sick leave, and exceptional leave package;
• Competitive compensation.

If you have such experience and are ready to work for quality and results, we will be happy to continue our communication.
We are waiting for your resume.

Description:
 

As a member of our team, you will participate in research & development of solutions in the field of Health and Fitness, using cutting edge machine learning approaches. The position will involve different aspects of R&D including – research, analysis, prototyping and development.  By joining the team you’ll be able to affects millions of users of the world’s most advanced Samsung devices. 
 

Responsibilities:
 

• Drive deep learning R&D projects from design through implementation, deployment into production, and maintenance
• Implement data pipelines (feature engineering, data preprocessing, etc)
• Improving existing architectures
• Research activities and strategic prototyping for future Samsung products
   

Major Requirements:
 

• Deep understanding of a modern machine learning framework (TensorFlow, PyTorch, scikit learn)
• Strong background in Python language
• Experience with signal processing algorithms, deep learning approaches for signal processing tasks
• Experience with Computer Vision algorithms − object detection, recognition, pose estimation, semantic segmentation tasks
• Experience with self-supervised and unsupervised learning, zero shot learning approach
• Experience with unbalanced data
• Solid knowledge of math and statistics
• Knowledge of modern architectures
• Good technical English
   

As a plus:
 

• Master/PhD in Computer Science or related field 
• Experience with Android application development (Java, Kotlin)
• Experience in optimizing and integrating ML models into mobile apps
• ML/DL contests participation experience (ex.: Kaggle)
• Papers, academic researches
   

Working Conditions:

• official employment - GIG contract
• remote work is possible as well as work in Kyiv office

Benefits:

• competitive salary, annual salary review, annual bonuses
• paid 28 work days of annual vacations and sick leaves
• opportunity to become an inventor of international patents with paid bonuses
• medical & life insurance for employees and their children
• paid lunches
• discounts to Samsung products, services
• regular education and self-development on internal courses and seminars
• hybrid work format, working in office is required for some tasks
   

Про компанію Samsung R&D Institute UkraineSamsung Research and Development Institute Ukraine (SR Ukraine) is one of the units of R&D infrastructure of Samsung Electronics. Our local directions cover R&D activities in such areas as computer vision, next generations of human-computer interfaces based on 3D graphics and recognition technologies; applications for creating and consuming new types of multi-media content; device-2-device and device-2-cloud convergence; information security; artificial intelligence; natural language processing (NLP); human computer interaction (HCI); information retrieval; computational intelligence.

The main goal of the SRUKR is to provide next generation, adaptive, context-aware intelligent services for Samsung products and immersive serendipity across software and hardware eco-systems. We provide prototypes and new generation software development from scratch for embedded devices that gives a chance for Ukrainian engineers to work on technology of the future.

Company offers medical insurance, life insurance for our employees and their children, free lunches, English/Korean courses. Competitive salary; bonus system and effective talent development system for our employees, various learning workshops and trainings.
Ukrainian labor legislation guarantees (in particular, 24 calendar days of annual paid vacations; day-off on Ukrainian official holidays; paid sick leave, paid maternity leave).
Our company is an equal opportunity employer and welcomes application from all qualified candidates. The data provide will only be used for consideration of the applied position or other suitable position in Samsung Electronics Ukraine Cоmpany Ltd. Personal data collected will be used for recruitment purpose only.
In the whole process of recruitment, applicants should be careful not to infringe the trade secret of the company which they have been / were working for.
Please note that Samsung Electronics will never ask applicants to submit any personal documents or sensitive personal data to facilitate the recruitment process.


Надсилаючи своє резюме, Я, надаю ТОВ «Самсунг РнД Інститут Україна» (ЄДРПОУ 44648330) (надалі – «Компанія») право на збір та обробку моєї персональної інформації, а саме прізвища, ім’я та по-батькові, дата народження, контактний номер телефону, адресу електронної пошти (надалі – «Персональні дані») із метою використання цих даних для пошуку та підбору кандидатів на заміщення вакантних посад Компанії, наповнення рекрутингової бази даних Компанії.
Для цього надаю Компанії право:
o на збір, збереження, використання Персональних даних;
o використання Персональних даних для зв’язку зі мною та надсилання мені інформації про вакансію (-ії) в Компанії;
o зберігати Персональні дані в рекрутинговій базі даних Компанії протягом строку існування такої бази;
o видалення Персональних даних з рекрутингової бази даних Компанії у будь-який час на розсуд Компанії.

Ця Згода є безстроковою та може бути відкликана мною за моїм письмовим зверненням на адресу ТОВ «СамсунгРнД Інститут Україна»: 01032, м. Київ, вул. Гетьмана Павла Скоропадського, 57
Сторінка компанії
Сайт компанії:
https://www.samsung.com/ua/aboutsamsung/careers/srukraine/

Сторінка компанії на DOU:
https://jobs.dou.ua/companies/samsung/

Join Our Team as an AI Engineer

We’re building AI-driven fintech tools for finance managers at medium-to-large companies. Seeking a hands-on AI Engineer to design, test, and deploy LLM-based agents and workflows.

Key Responsibilities

• build orchestration agents using LangChain, LangGraph, and LangSmith
• Develop elaborate prompt-testing frameworks and automated validation suites
• Writing prompts and optimizing them
• Integrate AI components into backend services (Python + SQL)
• Collaborate with product and engineering to refine AI-driven features

Qualifications

• ≥ 2 years backend development experience (Python)
• ≥ 1 year professional AI experience with the LangChain ecosystem
• Proficient with LangSmith, LangGraph, LangChain
• Experience building and testing LLM orchestration agents
• Strong SQL skills for data integration and analysis
• Excellent problem-solving and communication

Location
Remote (Eastern Europe preferred)

Join us in stealth mode to push the boundaries of AI-powered financial planning!

Giga Cloud is a premier Ukrainian cloud provider, with a robust presence in the B2B sector, boasting over 1,500 clients, 150+ global partners, and 5 data processing centers. Since 2016, we've been pivotal in aiding companies of all sizes in digital transformation using our cutting-edge cloud technologies. Our diverse clientele ranges from major corporations and government agencies to SMEs. Renowned for our 24/7 technical support and bespoke solutions, we operate four data processing centers across Poland and Ukraine, maintaining a 99.95% SLA with financial accountability.  
 
Our Mission: We create cloud space to increase your level of Freedom! 

Join the team! 

 

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).
• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.
• Fine-tuning, LoRA tuning, model distillation, and quantization.
• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.
• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

We offer you:
 

• Having the capability to create something new and witness your own input 
• You can find confidence in the future here, but rest assured it won't be dull 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Join our experienced team that values professional development and embraces new opportunities 
• Full-time employment contract 
• Multisport (light) 
• Paid vacation, sick leave 

NineTwoThree AI Studio, a forward-thinking product design and engineering studio, is seeking an experienced ML Engineer with a strong focus on LLM technologies. Our studio helps businesses to harness the power of AI to increase efficiency and automation. We are proud of our track record in creating impactful solutions and apps, contributing to over one billion dollars in client revenue. Recognized by Inc. and the Boston Business Journal for our rapid growth, we remain committed to pushing the boundaries of technology.

Role:

As an ML Engineer at NineTwoThree, you will be at the forefront of integrating and optimizing ML technologies into our diverse range of projects. Your role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4, and ensuring their seamless integration with our clients' applications.

Technology Stack:

• Transformer models.
• RAG (Retrieval-Augmented Generation).
• ReAct and LangChain for language model applications.
• Supervised and Unsupervised ML.
• Vector databases.
• AWS for cloud computing and machine learning services.
• Familiarity with TensorFlow, PyTorch, or similar frameworks.

Responsibilities:

• Develop and maintain advanced machine learning models, particularly focusing on natural language processing and understanding.
• Implement and optimize ML solutions for various client applications.
• Work closely with the development team to integrate AI models into existing systems.
• Experiment with new models and techniques to improve performance and capabilities.
• Participate in code reviews, maintain high coding standards, and contribute to our internal knowledge base.
• Stay abreast of the latest developments in AI and machine learning.

Requirements

• Knowledge of Machine Learning fundamentals.
• Background in integrating ML models into data-driven systems.
• Experience with Python and SQL, along with expertise in NLP and LLMs.
• Ability to quickly adapt to new technologies and problem domains.
• Familiarity with ML deployment and monitoring.
• Proven experience in machine learning and natural language processing.
• An understanding of general LLM architecture and limitations, as well as features of modern LLMs.
• Experience with cloud computing services, preferably AWS.
• Proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills and ability to collaborate in a team environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Fluent in English for effective collaboration with our international team.

Benefits

We are glad to offer you:

• 100% remote job.
• Paid vacations, sick leave, and holidays.
• Flexible Working Hours: You can choose when to start your day. 10 AM? Great. 1 PM? That’s fine with us, as long as you can attend all scheduled meetings. While we don’t expect you to be available 24/7, our ML Engineers are often requested to meet and collaborate with clients in North America during East Coast business hours. Additionally, ML Engineer may be required to attend calls with clients from West Coast, where the latest call might be scheduled at 12 PM PST. We always strive to schedule meetings earlier in the day whenever possible.
• Accounting assistance.
• Well-being budget.
• Reimbursement of expenses for professional development courses/certifications.
• Hardware upon business needs.
• Collaborative and innovative work environment with continuous opportunities for learning and growth.

Hiring process:

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd technical interview with the live coding challenge, Offer.

Join NineTwoThree Studio and be a part of a team that’s shaping the future with AI.

Apply for this job

About Puls Technologies GmbH:

Puls Project is at the verge of an exhilarating journey. Our mission is to create the entire financial world in one platform for German small to midsize enterprises and entrepreneurs, across all sectors and industries.
 

We are building a platform that will enable the customer to have money, where the customer needs it - just at the right time when they actually need it. The aim is to free up their time to make sure it can be spent on growing their business, not just managing to survive. Puls connects all your bank accounts in one place, business as well as private. The Customer will be able to have an overview of their financial history, as well as actually get forecasting for their cash flow with that data. The Customer will be able to make all payments in one place, instant and easy. And what if money gets tight? The future with Puls will give the opportunity to get business loans for SME without the hassle of a complicated bank checkup.

Key Responsibilities:

• Analyse large financial datasets using Python and Pandas.
• Develop and maintain machine learning models to predict financial metrics.
• Collaborate closely with our data scientists to enhance model accuracy and performance.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights in financial data.
• Ensure data quality, integrity, and consistency throughout the analysis process.
• Document and communicate findings and model performance to stakeholders.
• Stay up-to-date with the latest developments in data science and machine learning to continually improve our analytical capabilities.

Essential Skills and Experience:

• Proficient in Python with extensive experience in data analysis using Pandas or equivalent .
• Strong understanding of machine learning techniques and experience with libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience in building and optimising models for classification, regression, and clustering tasks.
• Solid understanding of statistical analysis and data visualisation techniques.
• Ability to work with large datasets and perform data cleaning, preprocessing, and transformation.
• Familiarity with version control systems like Git.
• Experience with SQL and database management is a plus.
• Experience with Prefect or similar orchestration tools for managing and automating data workflows.
• Strong problem-solving skills and ability to work independently.

Desirable Skills:

• Experience with time series analysis and financial data.
• Familiarity with cloud platforms such as AWS (Sagemaker), Google Cloud, or Microsoft Azure for deploying models.
• Understanding of natural language processing (NLP) techniques.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).
• Minimum of 3 years of professional experience in data analysis and machine learning.
• Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders.

Work Methodology:

• We use the Scrum framework to drive collaboration, adaptability, and continuous delivery.
• Regular participation in grooming sessions to refine and estimate the product backlog.
• Engage in iterative sprint cycles to ensure the timely delivery of high-quality features.

Working Hours:

• Our standard working hours are from 10:00 AM to 6:00 PM German time, Monday to Friday.

What We Offer:

• Competitive salary and benefits.
• Contribute to a fintech company that's making a real impact on how businesses manage their finances.

The Company (Location: Germany):
Since 2002, the client has been a market leader in automotive claims management, processing over 18 million vehicle claims annually with a global team of more than 1,000 employees. Operating in over 30 countries, the company specializes in digital solutions that optimize vehicle damage processing for insurance companies, car dealerships, repair shops, leasing firms, and automotive manufacturers. By leveraging automation, advanced technologies, and industry expertise, the client continuously enhances efficiency and accuracy in claims handling. An in-house research and development team drives innovation, tailoring solutions to local market needs while advancing digital transformation in the industry. At the core of this evolution is a strong development team, building scalable, high-performance software solutions that integrate data-driven processes with human expertise to reshape automotive claims management.

Your Role:
As a Senior AI Engineer, you will play a key role in shaping the future of digital automotive claims management by developing advanced AI and machine learning models. Working within a diverse and collaborative team of 30 data scientists, you will explore innovative research approaches and build intelligent systems that enhance the accuracy and efficiency of insurance-related processes. You will leverage state-of-the-art techniques in computer vision, large language models (LLMs), and multimodal AI to create impactful solutions tailored to the specific needs of the insurance and automotive industries.
Your responsibilities will include developing foundation models and intelligent systems that are capable of processing complex data inputs, improving claim automation, and supporting digital transformation. This is an opportunity to apply your deep technical expertise in a forward-thinking, international environment where data-driven innovation meets real-world impact.

Key Responsibilities:

• Collaborate within a cross-functional team of 30+ data scientists and AI/ML experts to drive research and innovation in the image processing & recognition field
• Develop and deploy cutting-edge machine learning and AI models, including computer vision, LLMs, and multimodal solutions.
• Design and train proprietary foundation models tailored to automotive and insurance industry needs.
• Translate complex technical concepts into scalable digital solutions that enhance claims processing efficiency.
• Continuously evaluate and integrate emerging AI technologies to ensure high performance and accuracy.
• Contribute to the company’s R&D efforts to advance AI innovation and digital transformation.
  
   

Requirements: 

• Qualifications: Degree in mathematics, computer science, data science, engineering, physics, or a related field.
• 5+ years in data science with proven experience in ML, DL, and data analysis using Python.
• Proficient in applying data science methods, building predictive models, and deploying AI solutions.
• Strong analytical mindset, proactive attitude, and ability to communicate complex topics clearly to both technical and non-technical stakeholders.
• Experience within the insurance or automotive industries.
• Excellent English communication skills (written and verbal); German is a plus.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the Role:

We are looking for a skilled and proactive Solution Designer with a strong technical background and experience in product management to lead the design and implementation of software solutions leveraging Generative AI technologies. You will play a key role in translating business needs into technical solutions, shaping product architecture, and ensuring smooth collaboration between stakeholders, developers, and AI experts.

Key Responsibilities:

• Design end-to-end software solutions using Generative AI tools, platforms, and models.
• Act as a bridge between business requirements and technical implementation.
• Collaborate with product owners, developers, and data scientists to shape product vision and delivery.
• Analyze and document system requirements, workflows, and use cases.
• Review and understand code when needed to ensure alignment between design and implementation.
• Participate in change management and ensure traceability of decisions throughout the development lifecycle.
• Stay up to date with the latest developments in Generative AI platforms and frameworks (e.g., OpenAI, Hugging Face, LangChain).

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 2+ years of experience as a Product Manager, System Analyst, or Solution Designer in software development projects.
• Solid understanding of the full software development lifecycle (SDLC).
• Ability to read and understand code (e.g., Python, JavaScript).
• Proven experience in requirements gathering, documentation, and change management.
• Strong understanding of Generative AI mechanisms, tools, and platforms.
• Familiarity with prompt engineering and LLM fine-tuning.
• Excellent problem-solving, communication, and analytical skills.

Nice to Have:

• Hands-on experience with implementing AI-powered features or products.
• Experience working in Agile/Scrum environments.

Intranso — нова SaaS-платформа для GPS-моніторингу транспорту, аналітики та управління пристроями. Ми створюємо сучасний, адаптивний web-інтерфейс із підтримкою інтеграцій, платіжних систем, багатомовності та реального часу.

Основні обов’язки:

• Розробляти та підтримувати алгоритми обробки зображень і відео з використанням Python/C та OpenCV.
• Створювати й оптимізувати модулі для розпізнавання об’єктів, сегментації та класифікації.
• Інтегрувати моделі машинного навчання в конвеєри відео-аналізу та забезпечувати їх масштабованість.

• Проводити тестування, відлагодження та оптимізацію коду для досягнення високої продуктивності в реальному часі.

   

Вимоги:

• Мінімум 2 роки досвіду розробки на Python/C.
• Глибокі знання OpenCV і суміжних бібліотек для комп’ютерного зору.
• Розуміння технік детекції об’єктів, сегментації та класифікації зображень.
• Досвід роботи з фреймворками машинного навчання (TensorFlow, PyTorch або аналогічними).
• Вміння оптимізувати алгоритми для обробки великих обсягів даних у режимі реального часу.

• Сильні аналітичні здібності та навички вирішення складних задач.

   

Буде плюсом:

• Практичний досвід роботи з платами Raspberry Pi та камерами Arducam.
• Вміння налаштовувати libcamera та PyCamera2 для захоплення зображень.
• Розуміння обмежень апаратного забезпечення та оптимізації під вбудовані системи.

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities 🌿Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the city center of Kyiv, great — apply right now.

Requirements.
● 4+ years of hands-on experience in computer vision, with a strong focus on embedded/edge device optimization;
● Deep knowledge of CNN-based object detection and face detection techniques;
● Expertise in model compression, quantization, and acceleration for embedded inference;
● Strong Python and C++ development skills;
● Experience with deployment tools: TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML;
● Familiarity with embedded platforms (e.g., NVIDIA Jetson, Qualcomm Snapdragon, Raspberry Pi with Coral Edge TPU);
● Experience in profiling and optimizing models for latency, throughput, and memory efficiency.

What you will do.
● Communication: Lead as part of a scrum team focused on delivering production-ready, optimized computer vision models. Promote clear, respectful, and constructive communication;
● Collaboration: Work closely with machine learning engineers, software developers, and hardware teams to ensure seamless integration of vision models into products;
● Documentation: Maintain high standards for documenting model training processes, optimization techniques, deployment pipelines, and performance benchmarks;
● Continuous improvement: Stay updated on state-of-the-art research in embedded computer vision and edge AI, bringing new ideas and technologies into the development process;
● Planning: Actively participate in sprint planning and provide accurate estimations, particularly for model optimization and deployment tasks.

Model Development and Optimization:
● Design and optimize CNN-based object detection and face detection models;
● Implement advanced model optimization techniques, including pruning, quantization, and knowledge distillation;
● Develop models with a focus on efficient deployment on embedded or edge devices.

 Embedded Deployment:
● Use tools like TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML for deployment;
● Work with embedded hardware platforms such as NVIDIA Jetson, Qualcomm Snapdragon,
and Raspberry Pi with Coral Edge TPU.

Performance Profiling:
● Profile models for latency, throughput, and memory efficiency;
● Optimize the inference performance to meet strict resource and timing constraints on target devices.

Development Skills:
● Develop and maintain codebases in Python and C++ to support model integration and deployment pipelines.

What you will get.
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
●Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities 🌿Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the city center of Kyiv, great — apply right now.

Generative AI is transforming the way we interact with information, but it also poses an existential challenge to journalism and content creators. By scraping proprietary material without compensation, generative AI undermines key revenue streams—such as ad revenue, subscriptions, and licensing agreements—that sustain high-quality journalism and original content creation. Without proper attribution and compensation, publishers risk losing their audiences and the economic foundation needed to sustain high-quality, human-grounded journalism and content creation. Company mission — to ensure that generative AI platforms fairly credit and compensate content owners for their contributions. Our groundbreaking technology enables generative AI platforms to attribute sources and share revenue on a per-use basis, protecting creators, fostering sustainable journalism, and promoting the integrity of AI-generated content. About the Role We’re looking for a Senior Software Engineer to join our Inference Team, where you’ll lead the design and development of our Retrieval-Augmented Generation (RAG) infrastructure. In this role, you will work closely with ML engineers, research scientists, and product teams to power both web search and API-based experiences for millions of users with fast, accurate, and context-aware responses. You will architect scalable systems that combine LLMs and vector retrieval, optimizing for relevance, recall, latency, and cost. This is a high-impact role focused on AI/ML inference, retrieval performance, and significant ownership in both technical decision-making and long-term architecture.

Requirements:
● 5+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems,
● Hands-on experience building and deploying retrieval-augmented generation (RAG) systems,
● Deep knowledge of OpenSearch, Elasticsearch, or similar search engines,
● Strong coding skills in Python,
● Experience with frameworks like LlamaIndex or LangChain,
● Familiarity with vector databases such as Pinecone, Qdrant, or FAISS,
● Exposure to LLM fine-tuning, semantic search, embeddings, and prompt engineering,
● Previous work on systems handling millions of users or queries per day,
● Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes),
● Experience with vector search, embedding pipelines, and dense retrieval techniques,
● Proven ability to optimize inference stacks for latency, reliability, and scalability,
● Excellent problem-solving, analytical, and debugging skills,
● Strong sense of ownership, ability to work independently, and a self-starter mindset in fast-paced environments,
● Passion for building impactful technology aligned with our mission,
● Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
 

Responsibilities:

● Design, build and scale a production-grade inference stack for RAG-based applications,
● Develop efficient retrieval pipelines using OpenSearch or similar vector databases, with a focus on high recall and response relevance,
● Optimize performance and latency for both real-time and batch queries,
● Identify and address bottlenecks in the inference stack to improve response times and system efficiency,
● Ensure high reliability, observability, and monitoring of deployed systems,
● Collaborate with cross-functional teams to integrate LLMs and retrieval components into user-facing applications,
● Evaluate and integrate modern RAG frameworks and tools to accelerate development,
● Guide architectural decisions, mentor team members, and uphold engineering excellence.

 

What you will get.
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

Шукаємо талановитого Python-розробника на довгострокову співпрацю.
 

Що пропонуємо:

• Робота над власними AI-продуктами (жодного аутсорсу).
• Партнерство з Product Architect з 20+ років досвіду в AI.
• Цікаві задачі, неформальний стиль управління ("анти-корпорація").
• Повністю віддалена робота.
   

Вимоги до кандидата:

• Досвід роботи з Python (від 5 років).
• Глибоке розуміння моделей та алгоритмів машинного навчання (ML).
• Досвід застосування AI та розробки систем на основі AI.
• Готовність продемонструвати свій код та завершені проекти.
• Вільне володіння інструментами AI та ML (как TensorFlow, PyTorch, Scikit-learn та інші).
   

Чекаємо саме на тебе!