Jobs 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.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Join our dynamic AI team and be at the forefront of innovation, working on transformative projects for some of the most recognized companies worldwide. As an AI Consultant, you will participate in the implementation and development of AI-powered solutions across a broad range of applications, from Gen AI tools to data analytics fraud detection systems.

Key Responsibilities:

• Participate in AI projects from inception to completion, ensuring timely delivery of high-quality solutions;
• Solution Development: Design and implement cutting-edge AI and GenAI solutions, including Retrieval-Augmented Generation (RAG) for knowledge retrieval, prompt optimization, and fine-tuning of large language models (LLMs);
• Apply AI techniques to areas such as fraud detection, satellite imagery analysis, time-series forecasting, and automated data quality validation to enhance decision-making and automation;
• Develop web applications (FE / BE / cloud architecture) enabling users to interact with AI systems;
• Client Interaction: Work closely with clients to understand their unique needs and provide expert guidance and support throughout the project lifecycle.

Requirements and skills:

• 2+ years of professional experience in this or similar area;
• Experience working on AI/ML projects, in areas such as Generative AI, NLP, Computer Vision or Machine Learning model development and deployment;
• University degree in Mathematics or a similar field is an advantage;
• Programming skills in Python (pandas, plotly, numpy);
• Experience with Full stack development (JavaScript) is a significant plus.
• Experience with SQL databases; familiarity with NoSQL is a plus;
• Experience with generative AI models is a plus;
• Fluent in English (level B2 or higher).

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We are looking for an ML/AI Engineer to join our team.
 

Requirements:
- 4+ years of commercial experience in Machine Learning / AI development
- Hands-on experience with NLP (text classification, NER, embeddings, transformers, LLMs)
- Proficiency in Python and ML frameworks (PyTorch / TensorFlow, scikit-learn, spaCy, etc)
- Experience with data preprocessing, vector databases, and model fine-tuning
- Strong understanding of algorithms, data structures, and statistical methods
- Experience with Git, CI/CD workflows
- English: Upper-Intermediate or higher (spoken and written)
- Experience with computer vision (CV) will be a plus.
 

Responsibilities:
- Design, train, and deploy ML/NLP models for text analysis and automation
- Build pipelines for preprocessing, feature extraction, and model serving
- Optimize inference and ensure scalability of AI solutions
- Collaborate with backend/frontend developers.

What we offer:
- Fully remote position
- Friendly and supportive team
- Opportunity to work on cutting-edge AI/NLP projects
- Career growth up to Team Lead
- Standard working hours, no overtime or weekend work

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more.

Team

Engineering Manager, 6 ML & AI Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas:
• Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems.
• Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have:

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.

• Technical Expertise:

  - Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others.

  - Experienced in natural language processing and modern LLM-based techniques.

  - Experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques.

  - Skilled with SQL and data extraction methods.

• Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI.
• Collaborator & Communicator: You’re an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders.
• Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learning through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Technical interview (up to 90 min)
• System Design interview (up to 45 min)
• Behavioral Round with Product Manager (45 min)
• Final interview with Engineering Manager (60 min).

We are looking for an AI Engineer (Research & Development). As an AI Engineer, you will join the R&D team working on AI products and help scale the AI offering through marketing activity.

Skills and experience you can bring to this role!

Qualifications & experience:

• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You understand and can explain how business value could be generated out of the use of AI technologies;
• You have built ML/AI powered solutions and used available services & tools and/or built bespoke ML models/solutions;
• You've investigated the practical application of generative AI/LLMs through pet projects and PoCs, exploring ready-to-go products, and you can demonstrate or discuss the output;
• You have experience in LLMs/SLMs assessment, selection, and fine-tuning for the specific use case;
• You enjoy writing code, preferably in Python and have 3+ years of experience in commercial development;
• You know what prompt engineering, vector databases, embeddings, multi-stage reasoning, RAG, and MLOps are, and you have had a practical (could be non-commercial) experience with some of the listed things;
• You enjoy communication and can talk to both technical and non-technical stakeholders.

Nice to have: 

• You have previous experience in data engineering;
• You are active in the growing AI community, attend webinars, events, and meetups, or are interested in becoming active;
• You have some front-end experience building simple UIs to demonstrate solutions end-to-end or are open to gaining such;
• You are interested in developing a personal brand through participation in content creation in collaboration with marketing & AI Lab.

What impact you’ll make

• Participate in research and development activities by working on Star's internal AI products;
• Create proof of concepts for our clients and prospects, focusing on applying AI technologies;
• Monitor and research changes in the AI developer ecosystem and approaches and apply them in practice to develop Star's AI capabilities;
• Participate in client calls during late sales cycle stages, present technical expertise, and help build solutions; 
• Act as a subject matter expert on AI to assist with Star's marketing and branding efforts.

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

We are looking for an AI/ML Engineer (LLM and Autonomous Systems Specialist) to help us deliver an ambitious new project - the development and training of intelligent behavioral models for autonomous platforms capable of operating and making decisions without constant network connectivity.

The project lies at the intersection of artificial intelligence, machine learning, simulation, and robotics.

Its goal is to create a system where AI not only reacts but also understands context and adapts to its environment.

We are a technology-driven FinTech company that has gone far beyond traditional financial services - actively expanding R&D directions related to autonomous systems, model training, and next-generation agent architectures.

If you’re ready to build technologies at the intersection of AI, machine learning, and autonomous systems - welcome to the team!

Responsibilities:

• Train AI models that analyze sensor data and make autonomous decisions (Behavioral Cloning, Reinforcement Learning).
• Work with virtual simulation environments that create scenarios for reinforcement learning.
• Configure and optimize algorithms for computer vision and navigation — obstacle detection, route planning, spatial orientation.
• Transfer trained models from simulation to real devices and adapt them to limited hardware resources.
• Develop and test behavioral strategies for operation under weak or no connectivity.

Requirements:

• Strong experience with Python, PyTorch, and/or TensorFlow.
• Deep understanding of CNNs, RNNs, Transformers, and LLM fine-tuning techniques (LoRA, PEFT).
• Experience with LLM serving frameworks such as vLLM, Ollama.
• Simulation & Training: The AI model is initially trained in a virtual environment using cloud platforms.
• Computing Power: A separate high-performance computer.

Nice to have: 
 

• Work with simulation environments (AirSim, CARLA, Isaac Sim) for synthetic data generation and model validation.
• Data Handling: MongoDB is used as a local onboard database to store instructions and sensor data. 
• Hardware Integration: A Raspberry Pi acts as the intermediary, receiving AI commands and relaying them to the controller (e.g., Jetson, Pixhawk). 

What We Offer: 

• Competitive salary and performance-based bonuses.
• Opportunity to work on cutting-edge AI + blockchain projects.
• Flexible working hours and remote work options.
• Professional development, training, and access to AI & blockchain research resources.
• A collaborative and innovative work environment. 

Join us and help shape the future of AI-driven blockchain automation!

A Practice Leader is the first point of contact for their direct reports, and they liaise and relay information between senior leaders, HR, and engineers. 

The role of a Practice Leader is probably the most important because this is the first line of people management, and it provides things to be done. On the one hand, a PL is a part of the Practice, so this person must be at least senior-level in their specialty. On the other hand, a Practice Leader is a people manager.

The complete list of requirements looks like the following:
- Practical experience and strong understanding of Python patterns & best practices.
- Strong understanding of ML project lifecycle.
- Practical experience with creating training datasets involving human annotators.
- Experience with writing Deep Learning models from scratch.
- Experience in >1 of the following areas: NLP, CV, forecasting, recommender systems.
- Strong experience with agentic workflows, RAG architecture, and GraphRAG.
- Experience and in-depth understanding of transformers.
- Practical experience with /AWS/other cloud/open source alternatives/ MLOps platforms, frameworks, and libraries.
- Practical experience with model post-production & maintenance: model and data monitoring, retraining automation, etc.
- Ability to make reusable components of ML pipelines.
- Practical experience with a variety of data sources (OLTP, OLAP, DataLake, Streaming).
- Experience in DataOps or ML/MLOps would be a significant plus.
- Ability to explain decisions, status, and roadmap to non-technical customer representatives.
- Experience in team/department leadership.
- Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve goals.
- Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts.
- Calmness. People are complicated, and you need to be ready for any objectives or misunderstandings.
 

Responsibilities:
- Build effective teams.
- Participate in meetups, conferences, and build community.
- Share best practices and culture with the team.
- Mentor engineers, coach Team Leads, and encourage others to share knowledge.
- Have technical excellence and be an influencer in different teams/projects.
- Hire and onboard newcomers.
- Conduct performance reviews, 1-on-1 meetings.
- Identify and address team gaps in knowledge.
- Evaluate, improve, and maintain processes.
- Сollaborate with other managers across the company.
- Communicate and follow the company's mission, vision, and values.

A Practice Leader is the first point of contact for their direct reports, and they liaise and relay information between senior leaders, HR, and engineers. 

The role of a Practice Leader is probably the most important because this is the first line of people management, and it provides things to be done. On the one hand, a PL is a part of the Practice, so this person must be at least senior-level in their specialty. On the other hand, a Practice Leader is a people manager.

The complete list of requirements looks like the following:
- Practical experience and strong understanding of Python patterns & best practices.
- Strong understanding of ML project lifecycle.
- Practical experience with creating training datasets involving human annotators.
- Experience with writing Deep Learning models from scratch.
- Experience in >1 of the following areas: NLP, CV, forecasting, recommender systems.
- Strong experience with agentic workflows, RAG architecture, and GraphRAG.
- Experience and in-depth understanding of transformers.
- Practical experience with /AWS/other cloud/open source alternatives/ MLOps platforms, frameworks, and libraries.
- Practical experience with model post-production & maintenance: model and data monitoring, retraining automation, etc.
- Ability to make reusable components of ML pipelines.
- Practical experience with a variety of data sources (OLTP, OLAP, DataLake, Streaming).
- Experience in DataOps or ML/MLOps would be a significant plus.
- Ability to explain decisions, status, and roadmap to non-technical customer representatives.
- Experience in team/department leadership.
- Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve goals.
- Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts.
- Calmness. People are complicated, and you need to be ready for any objectives or misunderstandings.
 

Responsibilities:
- Build effective teams.
- Participate in meetups, conferences, and build community.
- Share best practices and culture with the team.
- Mentor engineers, coach Team Leads, and encourage others to share knowledge.
- Have technical excellence and be an influencer in different teams/projects.
- Hire and onboard newcomers.
- Conduct performance reviews, 1-on-1 meetings.
- Identify and address team gaps in knowledge.
- Evaluate, improve, and maintain processes.
- Сollaborate with other managers across the company.
- Communicate and follow the company's mission, vision, and values.

The company is looking for a Tech Artist / Assets Manager who blends technical precision with creative insight to enhance, automate, and streamline asset workflows for AI-powered playable ads.

This role bridges the gap between Creative, Development, and Production teams, ensuring every visual, 3D, and VFX asset moves seamlessly from concept to final build.
 

It’s a perfect fit for someone who understands both the artistic vision and the technical structure behind game pipelines - and who enjoys designing smarter, faster, and more efficient ways to manage assets.
 

You’ll take ownership of how assets are organized, optimized, automated, and integrated into production. By supporting internal AI systems, Unity environments, and creative tools, you’ll help maintain a scalable, intelligent, and smooth playable ad pipeline.

 

Key Responsibilities:
 

• Optimize and prepare assets (3D models, textures, animations, VFX, UI, and audio) for lightweight HTML5 playable ads.
• Automate workflows for asset preparation, naming, compression, and deployment using internal AI tools or custom scripts.
• Ensure assets are fully compatible with AI-driven production systems and can be efficiently processed through automated pipelines.
• Establish and maintain structured folder systems, naming conventions, and versioning across all projects.
• Validate and test assets in 3D tools to ensure visual integrity and performance.
• Communicate effectively with tech art, creative, and development teams regarding asset readiness and optimization standards.
• Maintain clear documentation and visual references for each asset package to ensure transparency and reusability.
• Continuously identify opportunities to enhance automation, reduce manual tasks, and streamline production flows.
  
   

Qualifications:
 

• Hands-on experience with various 3D tools (Blender, Three.js is a plus).
• Solid understanding of asset optimization (polygon reduction, texture compression, material efficiency).
• Familiarity with AI-assisted production pipelines or creative automation tools.
• Basic understanding of game design principles and how assets influence gameplay and user experience.
• Exceptional organizational skills - clean naming, clear structure, and consistency are key.
• Basic scripting or batch-processing experience (Python, JavaScript, or CLI tools).
• A collaborative, solution-oriented mindset with strong communication skills in English.
• (Nice to have) Experience with version control (Git), render pipelines, or internal asset management tools.
  
   

Why You’ll Love Working Here:
 

This is an opportunity to be part of a fast-evolving creative tech environment where innovation meets automation. The company empowers you to shape the future of AI-driven playable ads, helping to design workflows that are intelligent, scalable, and efficient.

If you thrive at the intersection of creativity and technology—and want to make a real impact in how digital assets are produced and this is your chance to grow with a forward-thinking team.

 

Interested? Let’s Connect!
 

If this sounds like you, don’t hesitate—send your CV and contact information today. The company is actively reviewing applications and would love to learn more about your skills, projects, and creative mindset.
Take the next step toward joining a team where your technical talent and creative curiosity truly matter.

Inception-1 is a fast-growing product company. We create AI-driven products that help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy — and to prove that AI can be both human and transformative.

We are looking for an ML Engineer who will develop and support the server side of an advanced AI product, which includes the generation of images and chatbots 🤓 You are our ideal candidate if you have a deep understanding of NLP and generative AI, create innovative solutions for complex problems, have a high level of technical expertise, and a passion for artificial intelligence 💡
 

Range of tasks:

• Build real-time video/voice call pipelines.
• Finetune LLMs, Diffusion models.
• Quickly build and test out ideas (PoCs) to see what works.
• Build and scale the ML engineering team.

• Keep up with the latest models and trends in the field.

   

What hard-skills are important to us:

• 4+ years ML engineering experience in product (if you have experience in the dating niche, it’s a huge advantage).
• Strong focus on image generation — including training and fine-tuning diffusion and other generative models (Stable Diffusion, Flux, SDXL), LoRA and ControlNet pipelines, latent-space manipulation, and model optimization for inference speed and quality.
• Understanding of computer vision concepts (e.g., segmentation, pose estimation, feature extraction) is a plus.
• Python, PyTorch proficiency.
• Experience with multimodal AI.
• Real-time systems and low-latency applications experience.
• Knowledge of diffusion models, LLMs, audio processing.
• Fluent in Russian/Ukrainan.
   

What we offer:

• Comfortable offices in Kyiv’s Podil district with secure shelters and uninterrupted internet, water and electricity. In our offices, you don’t have to worry about routine: breakfasts, lunches, lots of snacks and fruits, lounges, massages, and other benefits of office life are waiting for you;
• Flexible work schedule;
  If necessary, assistance with relocation to safe places and finding housing;
• Online services of a corporate doctor, and after the probationary period — health insurance in Ukraine;
• 20 working days of paid vacation per year, unlimited sick leave;
• All equipment necessary for work;
• Compensation for the best courses on the market, corporate online meetups and lectures, a large library, business and management schools for employees;
• Free training in running, volleyball, boxing, and yoga.
• Corporate discounts on gym memberships.
   

Join our team of performers, practitioners and global

changemakers!

Please note: due to the high volume of applications, we can only respond to candidates selected for the next stage. If you don’t hear from us within a week, please assume your application won’t be moving forward this time, and we’d love to see you apply for future roles!

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.
   

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities🌿
We care about Trust, Partnership, Transparency, and Responsibility. 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 offices in Kyiv, Lviv or Warsaw with stable electricity and Wi-Fi , great — apply right now
 

Requirements:
● 3+ years of experience in building or integrating AI systems, data pipelines, or retrieval-based architectures.
● Strong Python skills and hands-on experience with modern AI frameworks and libraries.
● Experience with data preprocessing, transformation, indexing, and query optimization.
● Practical experience with Retrieval-Augmented Generation (RAG) pipelines — building retrievers, generators, and optimizing retrieval quality.
● Experience with SQL/NoSQL and at least one vector database (Pinecone, FAISS, Qdrant, or OpenSearch vector engine).
● Strong analytical and problem-solving skills, independence, and ability to work in agile environments.
 

Responsibilities:
● Design, build, and maintain AI systems focused on RAG pipelines — retrieval, context construction, and generation.
● Develop and optimize ETL/data pipelines for structured and unstructured data.
● Integrate AI services into production systems using REST APIs
● Contribute to technical documentation, planning, and estimation of AI-related tasks.
● Collaborate with backend and DevOps teams to ensure scalability, reliability, and efficiency of AI solutions.
 

Nice to have:
● Experience with AWS (S3, Lambda, ECS, Bedrock).
● Familiarity with RAG frameworks (LangChain, LlamaIndex) and retrieval/search techniques (semantic, hybrid, keyword).
● Contributions to open-source projects or participation in R&D initiatives related to AI or retrieval systems.
 

What will you 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.

We are looking for a Lead AI/ML Engineer to architect and develop intelligent learning systems that personalize education, assess learner progress, and enhance engagement through data-driven insights. You will lead the design of adaptive learning algorithms, NLP-based assessments, and recommendation models for personalized learning paths.

Responsibilities

• Design and implement personalized learning algorithms (rule-based and ML-driven).
• Develop recommendation systems to suggest courses and content based on learner behavior, skills, and goals.
• Build and fine-tune NLP models for automated essay scoring, topic extraction, and content tagging.
• Collaborate with data engineers to create ETL pipelines from platform usage data, assignments, and assessments.
• Work closely with the HPC and MLOps teams to deploy and monitor ML services efficiently.
• Contribute to model explainability, fairness, and transparency in AI-driven educational recommendations.
• Mentor junior ML engineers and review research/implementation papers for feasibility.

Requirements

• 5+ years of experience in machine learning, NLP, or applied AI.
• Strong knowledge of Python, PyTorch or TensorFlow, and scikit-learn.
• Experience with recommendation systems, classification, and reinforcement learning.
• Practical experience with Azure ML, Databricks, or AWS SageMaker.
• Familiarity with GDPR compliance and ethical AI in EdTech.
• Experience leading small AI teams or research projects.

We are looking for a ML Researcher to develop new drug design workflows. This role focuses on prototyping algorithms, testing ideas, and building tools that integrate directly into our platforms.

Required qualifications

Scientific background

• Strong understanding of supramolecular chemistry and structural biology.
• Solid knowledge of molecular biophysics and biomolecular recognition. 
• Experience in protein structure modeling and evaluation.

Technical skills

• Strong Python programming skills (functions, classes, data structures) and experience with core analytical Python packages (NumPy, Pandas, etc.)
• Familiarity with PyTorch and GPU-based computing. 
• Experience with Conda environments. 
• Understanding of ML/DL concepts and model evaluation metrics. 
• Experience with Linux and GitHub.
   

Soft skills

• Curiosity, initiative, and motivation to engage in research-driven tasks. 
• Strong communication skills and ability to collaborate effectively.
• Reliability: respects deadlines, meetings, and others’ time.

• Honesty, transparency, and openness to feedback.

   

Preferred qualifications

• Experience with protein structure prediction and/or docking tools (e.g., AlphaFold, HDOCK, HADDOCK).
• Familiarity with chemical file formats (PDB, CIF, MOL2, SDF).
• Experience working on remote machines and/or cloud platforms (e.g., Google Cloud).
• Knowledge of deep learning architectures such as Transformers or GNNs.