Jobs Lviv, ML / AI

Quantum is a global technology partner delivering high-end software products that address real-world problems.

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Senior Data Science / LLM Engineer. The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.”

Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 4+ years of commercial experience as a Data Science Engineer
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• 2+ years of experience with LLM and Natural Language Processing-related tasks
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

For our client, we are looking for a Senior AI/ML Engineerto join an AI project and drive the design, development, and optimization of cutting-edge retrieval-augmented generation (RAG) solutions.

This role is ideal for a highly skilled engineer passionate about AI/ML systems, distributed architectures, and vector search technologies. You will play a key role in designing scalable inference stacks, optimizing retrieval pipelines, and integrating modern frameworks into production-grade applications.

Requirements

• 5+ years of experience in software engineering, preferably with AI/ML or distributed systems.
• Proven hands-on experience with retrieval-augmented generation (RAG) systems.
• Deep knowledge of OpenSearch, Elasticsearch or similar search engines.
• Strong coding skills in Python.
• Experience with LlamaIndex, LangChain.
• Familiarity with vector databases (Pinecone, Qdrant, FAISS).
• Exposure to LLM fine-tuning, embeddings, semantic search, prompt engineering.
• Background in high-scale systems handling millions of users/queries daily.
• Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
• Experience with vector search, embedding pipelines, dense retrieval techniques.
• Strong optimization skills for latency, reliability, and scalability.
• Excellent problem-solving, analytical, and debugging skills.
• Proactive self-starter with ownership mindset.
• Passion for impactful technology aligned with Geniusees mission.
• Bachelors degree in Computer Science or equivalent practical experience.
• English: Upper-Intermediate+.
• Candidates: Ukrainians (in Ukraine or abroad).

Responsibilities

• Design, build, and scale production-grade inference stacks for RAG-based applications.
• Develop efficient retrieval pipelines with OpenSearch/vector DBs ensuring high recall & relevance.
• Optimize performance and latency for real-time and batch queries.
• Identify and fix bottlenecks to improve system efficiency and response times.
• Ensure observability, monitoring, and reliability of deployed systems.
• Collaborate with teams to integrate LLMs and retrieval components into applications.
• Evaluate and integrate modern RAG frameworks and tools.
• Mentor team members, support architectural decisions, and uphold engineering excellence.
• Contribute to pre-sales activities (NFR elicitation, solution architecture, risk definition).
• Conduct discovery phases and recommend tools/libraries.
• Lead/support code reviews, POCs, and R&D.
• Interview external candidates and provide ad hoc troubleshooting.

What You Will Get

• Exciting AI startup projects with a modern stack.
• Career development opportunities (regular reviews).
• Professional study support, certifications, and corporate English.
• VIP medical insurance or sports coverage.
• Paid vacation (18 days) and sick leave.
• Flexible working hours (start 8:00 - 11:30).
• Unlimited remote work worldwide + cozy offices in Kyiv & Lviv with Starlink & generator.
• Compensation for coworking (outside Kyiv & Lviv).
• Corporate lunch, team buildings, soft skills clubs.
• Informal and friendly work culture, no micromanagement.
• Own charity fund.
   

#WeAreIn for jobs that impact everyone's life. What if your ideas could change the way the world connects, powers up, or thinks? As a Senior AI/ML Engineer on our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in?

Key responsibilities in your new role

Work on innovative IoT, Industrial, and Automotive technologies in a fast-moving R&D team, turning ideas into real products and patents. 

• Design and develop efficient Neural Network (NN) models with sophisticated architectures for embedded domain, strongly involving application-specific knowledge
• Plan and execute practical experiments to collect/create high-quality datasets
• Combine NN and classic signal processing approaches to make the highly efficient pipelines of problem solving
• Implement the developed solutions under real-world end-user scenarios and requirements and verify its functionality at the Infineon hardware (PSOC, wireless SOCs)
• Help with ML/AI related design and implementation in different team projects

Your Profile

Qualifications and skills to help you succeed

• A master’s degree in electrical engineering or computer science (or equivalent) and 2-3 years of related research/engineering experience
• Strong background in mathematical modeling and numerical analysis
• Knowledge of modern NN architectures, Machine Learning tools and trends
• Proficiency in Python and at least one ML framework (PyTorch or TensorFlow)
• Experience with at least one of the following: signal / speech /image / video processing / wireless communication is a plus
• Understanding of embedded systems and Knowledge of Nvidia Deep Learning framework, and familiarity with patents, papers, publications on relevant technical subject matter is a plus
• Intermediate English writing, communication, and presentation skills

Please send us your CV in English.

The project is a big enterprise application with a back office and a mobile client. We’re going to extend its functionality with SmartWatch (WatchOS) and CarPlay applications for which we will also use LLM/Gen AI. You will be part of a cross-functional, cross-geo team of developers, test engineers, UI/UX designers, and architects who will create applications from scratch and integrate them with the back-office API.

Responsibilities: 

• Help the team which consists of BA, Designer UI/UX, Architect, Mobile engineers research and find solutions on how to work with a 3rd party LLM
• Help the team use LLM/Gen AI for mobile applications (iOS, Android and smartwatch)
• Provide feedback to development teams on technical, troubleshooting, or operational issues related to LLM/Gen AI
• Implement and integrate retrieval-augmented generation (RAG)and tool-augmented agents
• Engineer and optimize prompts for LLM-based workflows
• Be up-to-date with advancements in LLMs, agent frameworks, and RAG techniques
• Research and propose improvements to model performance, usability, and tuning
• Prototype ideas for intent recognition, query synthesis, analysis, and reasoning
• Collaborate closely with developers and other stakeholders to ensure system alignment with product and business goals

Requirements: 

• 5+ years of experience in Machine Learning, Large Language Models and Generative AI.
• Strong expertise with LLMs (e.g., Gemini, GPT-4, T5, Claude, LLaMA) and generative AI techniques.
• Hands-on experience with ML frameworks such as PyTorch and LangChain, and LangGraph.
• Experience with using prompt engineering techniques to adapt LLMs effectively and/or fine-tuning LLMs using APIs.
• Strong grasp of data structures and data transformation processes.
• Experience serving ML models as API services in production environments.
• Strong knowledge of different types of databases (SQL, noSQL, Vector, etc).

• At least upper-Intermediate English (comprehensive written and verbal communication)

   

Nice-to-Have: 

• Experience developing AI agents with external tool integration.
• Working with AI agents for Mobile applications

• Working during the discovery phase along with BA, UI/UX, Architect, other engineers

   

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About the team:

The AI Platform team is a newly formed, high-impact group responsible for driving AI adoption across the entire organization. Reporting to a Team Lead, you will join a team of 4 engineers building cutting-edge AI solutions from the ground up. This is a unique opportunity to shape the AI strategy and tooling that will transform how the company operates.

The role:

As a Senior Software Engineer on the AI Platform team, you will design, build, and deploy production-grade AI systems that enhance productivity and decision-making across all business units. You will be a technical expert and advocate for agentic AI solutions, enabling engineering teams company-wide to leverage AI effectively.

Key Responsibilities:

•       Design and build Retrieval-Augmented Generation (RAG) systems to provide intelligent, context-aware solutions for internal and external use cases

•       Develop AI agents that automate workflows and enhance business processes across the organization

•       Serve as an internal expert on agentic AI, guiding and mentoring engineering teams on best practices for building and integrating AI agents

•       Evaluate, integrate, and deploy the latest AI technologies, frameworks, and models to keep the company at the forefront of innovation

•       Collaborate cross-functionally with product, engineering, and business stakeholders to identify high-impact AI opportunities

•       Contribute to architectural decisions and help shape the technical direction of the AI Platform

Required Qualification:

•       5+ years of software engineering experience with strong proficiency in Python, TypeScript, or Java

•       Experience with databases, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., MongoDB, Redis, Aerospike)

•       Experience building and deploying HTTP-based applications and APIs in production environments

•       Hands-on experience building RAG systems and working with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, pgvector)

•       Proven experience developing AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar

•       Hands-on agentic coding experience (e.g., Claude Code, Cursor, GitHub Copilot Workspace, or similar AI-assisted development tools)

•       Experience with MCP (Model Context Protocol) or similar agent communication standards

•       Strong understanding of prompt engineering, context engineering, and LLM optimization techniques

•       Experience with modern LLM APIs (OpenAI, Anthropic, Google, open-source models)

•       Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences

•       Demonstrated ability to work cross-functionally and drive alignment across teams

Nice to Have:

•       Background in adtech or real-time bidding systems

•       Familiarity with MLOps practices and model deployment pipelines

•       Contributions to open-source AI projects or active participation in AI communities

Why Join Us:

•       Build complex AI systems from scratch that directly impact company-wide performance

•       Work with the latest AI technologies and shape how the organization adopts them

•       High visibility role with direct collaboration across all business units

•       Join a small, agile team where your contributions have outsized impact

•       Hybrid work environment with flexibility

Benefits:

• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leave

Job Description

• Good knowledge of Python or any other relevant programming experience (e.g. C++);
• Good understanding of Machine Learning techniques;
• Experience with numpy, scipy, opencv, tensorflow (at least some of them);
• Understanding of or experience with Computer Vision and Deep Learning;
• BS or BA degree in a relevant area is a must (e.g. Applied Mathematics, Physics, Computer Science);
• Any kind of commercial experience in software development would be a plus;
• Good communication skills, including at least Pre-Intermediate English level for daily communication.

Job Responsibilities

• Design and develop PoC applications
• Apply AI/Machine Learning technology to solve real problem for market available product

Department/Project Description

Our client runs one of the most popular amusement parks in the world. The safety of their guests and cast members is the key to providing a seamless entertainment experience and our client was looking for ways to leverage the latest technology to take safety to the next level.

GlobalLogic helps the client create a flexible real-time AI-based attraction monitoring system to detect, alert, and record any discrepancy between the number of people detected by an overhead camera and the number of occupied seats from the seat sensor indicator lights.

Hello! We’re looking for a motivated and tech-savvy Trainee AI Specialist to support our work on intelligent AI-driven systems. From smart chats and LLM prompt design to autonomous AI agents and process automation — you’ll get hands-on experience building tools that solve real-world business challenges.

 

Key responsibilities:

• Building and testing AI agents for lead research, client outreach, and pipeline management;
• Designing and refining prompts for Large Language Models (LLMs) to improve conversation quality and task performance;
• Automating business processes using n8n — integrating databases, scraping tools, and outreach platforms;
• Developing lightweight chatbots and conversational flows for use in marketing or support;
• Supporting data collection and processing to enable targeted outbound campaigns;

• Collaborating with team members to improve AI-driven workflows and propose better strategies.

   

Requirements:

• Solid interest in AI, LLMs, and workflow automation;
• Basic experience with tools like OpenAI, or agent frameworks;
• Basic understanding of Python, JavaScript/TypeScript and willingness to improve skills through practical application. 
• Practical understanding of n8n — or strong motivation to learn it quickly (experience building flows, connecting APIs, etc.);
• Strong problem-solving skills and the ability to independently conduct online research and experimentation;
• Upper-intermediate level of English (written and verbal);

• A self-starter with a learning mindset — not afraid to test, iterate, and improve.

   

What you will have with us:

• Regular Performance review;
• Paid out-of-office days;
• Opportunity to learn and improve your English.
• Flexible work schedule;
• Well-equipped office;
• Career Path and growth opportunities.

About company

We are a software development company that provides digital technology services from mobile and web development to custom software solutions. We're dedicated to delivering innovative, high-quality solutions tailored to your unique needs.

N-iX is looking for a Lead Data Scientist. As a Lead Engineer, you’ll be responsible for designing, developing, and optimizing data and AI pipelines (including Spark-based and RAG-style workflows), ensuring performance, scalability, and reliability. You’ll also be working on technical discovery and solution assessment: helping the client understand existing AI tooling (currently a RAG-based solution used for document analysis), evaluating scalability, quality, cost, and risks, and advising on future architecture options.

Responsibilities:

• Design and implement data pipelines to support AI and ML use cases, including data preparation, feature engineering, and real-time model serving.
• Support and enable RAG-based and NLP use cases, including document ingestion, data preparation, feature extraction, and structured data generation.
• Collaborate with AI engineers to productionize AI/ML solutions and integrate them into reliable data workflows.
• Participate in and lead discovery phases to analyze existing AI solutions, clarify how they work, and identify architectural gaps, risks, and improvement opportunities.
• Assess scalability and multilingual support of AI/data solutions (including feasibility, configuration needs, cost, and expected quality).
• Contribute to evaluations of vendor lock-in, platform alternatives, and potential migration paths (e.g., toward Palantir Foundry or other modern data/AI platforms).
• Ensure high standards of data quality, security, governance, and compliance.
• Drive continuous improvement in development processes, tooling, and engineering practices.
• Foster collaboration across engineering, data science, and product/business stakeholders.

Requirements:

• 6+ years of experience in data
• Proficiency in Python and distributed computing concepts.
• Experience designing and optimizing scalable data pipelines for high-volume data.
• Experience supporting AI/ML projects (e.g., enabling model training pipelines, feature engineering, real-time inference, or MLOps workflows).
• Ability to perform technical discovery and solution assessment, including explaining complex systems to non-technical stakeholders.
• Strong leadership, communication, and stakeholder management skills.
• Experience with Palantir Foundry is a plus, but not required.
• Experience with PySpark and large-scale data processing.

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

Обов’язки

 • Fine-tuning та донавчання моделей (LoRA/QLoRA)

 • Підготовка, нормалізація та очищення датасетів

 • Тренування/оцінка моделей, підбір гіперпараметрів

 • Побудова RAG-систем (retrieval + generation)

 • Чанкування, embedding, індексація документів

 • Робота з векторними БД (Pinecone/Qdrant/Weaviate/pgvector)

 • Оптимізація якості та швидкодії (reranking, hybrid search, caching)

 • Інтеграція LLM у продукт через API (FastAPI/Node, tool calling)

 • Оцінка якості: метрики, тести, hallucination-check

 • MLOps/деплой: model serving (vLLM/TGI), Docker, моніторинг

 • Постійне відстеження AI-трендів та релізів моделей/інструментів

 

Локація: Львів, Франківський район
Формат: офіс, повна зайнятість
Графік: Пн—Пт, 09:00–18:00 (вихідні — субота та неділя)

Про компанію
Ми — аутсорс IT-компанія, що працює з 2017 року, реалізовуючи складні технічні рішення для клієнтів з усього світу. Наразі активно розвиваємо власний продукт у сфері Military Tech — створюємо системи, що підвищують ефективність розвідки, аналізу даних і ситуаційної обізнаності на полі бою. Команда налічує понад 250 спеціалістів, і ми розширюємо R&D підрозділ у Львові.

Основний фокус ролі

• Теоретичні дослідження у галузі машинного навчання та нейронних мереж
• Розробка нових алгоритмів оптимізації, навчання та узагальнення моделей
• Аналіз, тестування й удосконалення архітектур глибокого навчання
• Співпраця з командами Data Science, Computer Vision та C++ розробки

• Підготовка прототипів і proof-of-concept моделей для інтеграції у продукт

   

Вимоги

• 3+ роки досвіду у сфері Machine Learning або Deep Learning
• Глибоке розуміння математичних основ ML (лінійна алгебра, оптимізація, теорія ймовірностей)
• Досвід дослідження або розробки архітектур нейронних мереж
• Практичні знання Python, PyTorch або TensorFlow
• Досвід публікацій, участь у дослідницьких проєктах або open-source буде перевагою

• Базове розуміння C++ або готовність працювати в мультидисциплінарному середовищі

   

Ми пропонуємо

• Офіційне працевлаштування з першого робочого дня
• Бронювання для працівників, які підлягають мобілізації
• Оплачувані лікарняні — до 5 днів на рік
• Щорічна оплачувана відпустка — 24 календарні дні (згідно КЗпП)
• Стабільна заробітна плата без затримок, виплата двічі на місяць
• Комфортний офіс у Франківському районі Львова
• Допомога з релокацією для кандидатів з інших міст

Локація: Львів (допомагаємо з релокейтом).
Формат: офіс, повна зайнятість.
Графік: Пн—Пт, 09:00–18:00 (вихідні — субота та неділя).

Про компанію

Ми — аутсорс IT-компанія, що працює з 2017 року. За цей час ми реалізували десятки складних технічних проєктів для міжнародних клієнтів, а сьогодні активно розвиваємо власний продукт у сфері Military Tech — рішення, яке підсилює обороноздатність України через сучасні технології штучного інтелекту, комп’ютерного зору та аналітики.
Наша команда налічує понад 250 фахівців, і ми продовжуємо зростати, формуючи сильну R&D-команду у Львові.

Основний фокус ролі

• Розробка та оптимізація алгоритмів комп’ютерного зору (object detection, tracking, segmentation).
• Побудова та вдосконалення нейронних мереж для аналізу відеопотоку в реальному часі.
• Оптимізація ML-моделей для роботи на обмежених обчислювальних ресурсах.
• Робота з C++ (modern standards), OpenCV, TensorRT, CUDA, PyTorch / ONNX.

• Тісна співпраця з командою Data Science та Embedded-інженерів.

   

Вимоги

• 4+ років досвіду у Computer Vision / Machine Learning / C++ development.
• Глибоке розуміння алгоритмів CV (обробка зображень, розпізнавання об’єктів, трекінг).
• Досвід з оптимізацією моделей нейронних мереж (quantization, pruning, TensorRT, ONNX Runtime).
• Знання C++17/20, Python (для швидкого прототипування).
• Розуміння принципів реальновчасної обробки відео.

• Буде перевагою досвід роботи з GPU, CUDA, NVIDIA Jetson або подібними платформами.

   

Ми пропонуємо

• Офіційне працевлаштування з першого дня роботи.
• Бронювання для працівників, які підлягають мобілізації.
• Оплачувані лікарняні — до 5 днів на рік.
• Щорічна оплачувана відпустка — 24 календарні дні (згідно КЗпП).
• Стабільна заробітна плата без затримок (2 виплати на місяць).
• Комфортний офіс у м. Львів.
• Допомога з релокацією для кандидатів з інших міст.

Шукаємо AI Consultant / AI Evangelist (part-time) для співпраці з performance-маркетинговою командою.
 

Формат роботи: 1 раз на місяць (60–90 хв) — онлайн або офлайн.

Задача

Робити практичні AI-апдейти для команди:

• що нового зʼявилось у AI (інструменти, фічі, підходи)
• як це реально застосувати в наших процесах (media buying, creatives, research, automation)
• live demo + конкретні use-cases

• після зустрічі — короткий summary (інструменти + рекомендації)

   

Нам важливий не лектор, а hands-on спеціаліст, який уміє перекладати AI на мову бізнесу.

Кого шукаємо

• Досвід роботи з AI / automation / no-code
• Розуміння маркетингу / performance / growth
• Вміння пояснювати складне простими словами
• Практичний підхід (демо > теорія)

Плюсами буде

• досвід у маркетингу / арбітражі / креативах
• робота з Make / Zapier / GPT / image & video AI
• досвід побудови AI-воркфлоу

Формат співпраці

• part-time / контракт
• 1 сесія на місяць
• оплата договірна