Jobs

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech

We seek an experienced MLOps Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
• Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
• Provision of ML AWS resources and infrastructure
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production
• Help customers tackle challenges on a scale using distributed training frameworks  
• Learning new skills and technologies quickly
• Using and writing Terraform libraries for infrastructure deployment
• Developing CI/CD pipelines for projects of various scales and tech stacks
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration
   

Requirements:

• Excellent customer-facing skills to understand and address client needs effectively 
• Ability to design and implement cloud solutions and to build MLOps pipelines on AWS
• Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc. 
• Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluent written and verbal communication skills in English
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage
• GCP or Azure knowledge (DevOps/MLOps) - an advantage

• ML certification (AWS ML Specialty or similar) - an advantage

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.

At MacPaw, we believe humans and technology can reach their greatest potential together.

MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company’s culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.

We are building a world-class AI research unit and are looking for an experienced AI Research Scientist to strengthen our team. Since this unit is still young, this role offers a unique opportunity to shape its direction, contribute to its growth, and help establish it as a leader in AI research.

At our company, you’ll be working with the latest trends in the industry, conducting cutting-edge research, and bridging the gap between academic advancements and real-world applications. You'll have the chance to develop AI solutions that power products used by millions of users, ensuring that your innovations have a tangible impact.

If you are passionate about pushing the boundaries of AI research, publishing at top-tier conferences, and applying research to large-scale products, we’d love to hear from you!

In this role, you will:

• Drive cutting-edge research in fields critical to our AI research unit’s objectives, leading to innovative solutions and contributions to scientific advancement in key directions (e.g. Local LLMs, Agents, Reinforcement Learning, 3D, etc.)
• Take ownership of research initiatives from ideation to implementation, and personally conduct key aspects of the research
• Bridge the gap between advanced research and real-world applications by integrating state-of-the-art research results into our products 
• Collaborate with cross-functional teams to ensure that scientific innovations enhance product functionality and deliver measurable value to the customers
• Deliver high-impact research that results in publications accepted at top-tier AI conferences (e.g., NeurIPS, ACL, CVPR). Represent the organization as a speaker, establishing the research team as a world-class unit through exceptional contributions and scientific discourse
• Organize and conduct knowledge-sharing sessions for research teams and stakeholders, covering analysis methods, research processes, and successful implementation cases
• Provide mentoring and opportunities for students and other fellow employees
   

Skills you’ll need to bring:

• Prior experience as an AI Research Scientist with a proven innovation track record
• Strong record of publications, preferably at top-tier AI conferences like NeurIPS, ICML, CVPR, ECCV, ICLR, etc.
• Proven expertise in Large Language Models (LLMs) and Multimodal LLMs (MLLMs), hands-on experience with training, fine-tuning, and optimizing models for various applications
• Experience in leading research initiatives from ideation to deployment
• Proven ability to bridge academic research with industry needs by developing scalable AI solutions that create measurable value
• Experience in translating cutting-edge research into practical applications, integrating state-of-the-art models into real-world products and production environments
• Experience mentoring junior researchers, students, and colleagues in AI domains
• Advanced level of English
   

As a plus:

• Experience working in academic, corporate, or government AI research labs, contributing to cutting-edge advancements

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible: https://macpaw.foundation/.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

Role Responsibilities:

• Design and develop AI Agents and supporting tools, including API-as-a-service solutions.
• Prepare comprehensive documentation for development and deployment processes.
• Contribute to R&D initiatives within the Data Science team, driving innovation and experimentation.

Required Skills & Experience:

• 5+ years of experience with deep learning frameworks such as PyTorch and/or TensorFlow.
• 5+ years of hands-on Python development experience.
• Proven experience with LLMs, RAG pipelines, and AI Agent development.
• Practical knowledge of Amazon SageMaker, Amazon Bedrock, LangChain, LangGraph, LangSmith, LlamaIndex, HuggingFace, and OpenAI tools.
• Experience using AI tools to improve development productivity, code quality, and assist in code reviews.
• Solid understanding of SQL, NoSQL, and vector databases.
• Strong grasp of embedding vectors and semantic search techniques.
• Proficiency with Git (Bitbucket) and Docker.
• English level: Upper-Intermediate (B2+) or higher.

Nice to Have:

• Hands-on experience with SLMs and fine-tuning of LLMs.
• Educational background in Data Science, Computer Science, Applied Mathematics, or related fields.
• AWS certification (e.g., AWS Certified Machine Learning – Specialty).
• Familiarity with TypeSense.
• Experience with speech recognition and speech-to-text ML models.

We’re looking for a skilled AI Specialist to join our team and enhance our electronic health record (EHR) platform for therapists. Your work will directly improve how therapists and patients interact with data by building AI-driven features such as intelligent querying, smart assistants, and automation tools that save time and simplify daily work.

Job Description

As our AI Specialist, you’ll help expand the intelligence layer of our platform — the foundation that powers our AI features for therapists and patients. You’ll work on developing a language model for data queries, improving and maintaining our text-to-speech functionality, and building a booking assistant that simplifies patient scheduling.

We’ve already developed a session summary generator for therapists, powered by Gemini, and plan to introduce new AI helpers to make therapy workflows more efficient and accessible.

Key Responsibilities

Language Model for Queries

• Design and implement an AI system that understands therapist questions and retrieves meaningful insights from patient records.
• Integrate the model with internal databases to deliver natural-language answers quickly and accurately.
• Optimize the model for performance, scalability, and compliance within healthcare data standards.

Patient Booking Assistant

• Build and refine an AI-powered assistant that helps patients schedule appointments online seamlessly.
• Ensure reliability, intuitive flow, and smooth integration with the existing EHR system.

Maintain Text-to-Speech System

• Support and enhance our Whisper-based text-to-speech module to ensure high-quality audio performance.
• Monitor and maintain model accuracy, responsiveness, and integration across the application.

AI Feature Expansion

• Collaborate with the product team to define and prototype upcoming AI helpers for therapists.
• Ensure all AI implementations align with healthcare privacy, accuracy, and usability standards.

Required Skills and Experience

• Strong experience in Natural Language Processing (NLP) and applied AI.
• Familiarity with language model design, fine-tuning, and integration in production systems.
• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Ability to connect AI models with structured data (SQL or NoSQL) for dynamic query results.
• Experience maintaining or integrating text-to-speech or speech-processing systems (preferably Whisper).
• Understanding of healthcare data privacy standards (HIPAA or equivalent).
• Strong communication and documentation skills.

Preferred Qualifications

• Background in healthcare, digital health, or therapy-focused applications.
• Familiarity with AI orchestration, conversational assistants, or multi-agent systems.
• Knowledge of deploying AI systems in cloud environments.
• Experience designing or improving end-user AI interfaces.

About Us

We’re building the next-generation electronic health record (EHR) system for therapists — combining smart automation with clinical reliability. Our platform helps therapists manage sessions, documentation, and scheduling while giving patients a smooth, intelligent experience.

Our goal is simple: make AI a helpful teammate for therapists, not another tool they have to manage.

We are seeking a highly skilled and visionary AI Tech Lead with expertise in Computer Vision and a strong focus on deploying AI solutions on edge devices. The ideal candidate will lead a team of engineers and researchers to design, develop, and implement cutting-edge AI-powered Computer Vision solutions that run efficiently on edge hardware. This role is pivotal in driving innovation and delivering scalable, real-time AI applications for our business and clients.

Key Responsibilities:

• Lead the development and deployment of Computer Vision models tailored for edge devices, ensuring high performance and low latency.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define requirements and deliver robust AI solutions.
• Research and stay up-to-date with advancements in edge computing, computer vision algorithms, and AI frameworks to ensure our solutions remain cutting-edge.
• Optimize machine learning models for inference on edge devices by leveraging techniques such as quantization, pruning, and knowledge distillation.
• Mentor and guide a team of AI engineers and researchers, fostering a culture of innovation and technical excellence.

• Participate in strategic decision-making to align AI initiatives with business goals and objectives.

   

  Experience:

• Proven experience in computer vision, with a focus on deploying solutions on edge devices.
• Hands-on experience with frameworks such as TensorFlow Lite, ONNX Runtime, PyTorch Mobile, or similar.
• Strong understanding of edge AI hardware (e.g., NVIDIA Jetson, Google Coral, Qualcomm AI Engine) will be a plus

• Expertise in optimizing deep learning models for low power and memory-constrained environments.

   

  Technical Skills:

• Proficiency in programming languages like Python (C++ will be a plus)
• Strong knowledge of Computer Vision techniques, including object detection, image segmentation, and feature extraction.
• Familiarity with tools and technologies for model compression, such as TensorRT, OpenVINO, or CoreML.

• Experience with real-time data processing and streaming on edge devices.

   

  Leadership Skills:

• Demonstrated ability to lead and mentor technical teams.
• Excellent problem-solving and decision-making skills.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

With us you will enjoy:

• Working with a team of people to build the future of an industry.
• Non-trivial challenges and various specter of interesting tasks.
• A flexible, friendly and collaborative work environment.
• Corporate culture based on common sense.
• Opportunities to influence the creation of new products and their quality.

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. 
• Full-time employment contract.
• Multisport (light). 
• Paid vacation, sick leave.

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

Hi!

We're currently looking for an experienced NLP Engineer to join our AI team at CHI Software.

We’re looking for someone who’s interested in actively contributing to the growth of the department, as well as taking part in our R&D and pre-sales activities.

Our core R&D efforts are focused on areas such as:

• Sensor fusion
• Deepfake technology
• Image generation
• 3D reconstruction

We're open to new ideas that could be explored within the R&D center, and we’d also be happy to involve you in our current projects.

Here’s a general overview of the position, which reflects the kind of projects we typically work on:

Requirements:

• 2–3 years of commercial experience in Natural Language Processing / Machine Learning;
• Proficient in Python, R, and Java, and expertise in libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, and Keras;
• Experience with cloud platforms like AWS, Azure, and Google Cloud, and familiarity with big data technologies including Hadoop and Spark;
• Modeling and DevOps experience for Machine Learning;
• Experience with the latest LLM models currently being rolled out in consumer-facing generative AI tools.

• Upper-Intermediate level of English is mandatory;

  
  Certifications obtained (mandatory):

• Azure: AI Fundamentals AI-900 and Azure AI Engineer AI-102;
• GCP: Cloud Digital Leader, Cloud Engineer, Machine Learning Engineer;
• AWS: Cloud Practitioner CLF-C02 and Machine Learning MLS-C01.

There are options for project-based collaboration in a freelance format if you're not planning to leave your current role. We also have full-time opportunities available.

Thank you for your interest! If your profile aligns with the key requirements, we will reach out to you.

We are seeking a talented and experienced AI Engineer with a Data Science background to join our professional services team of 50+ engineers. The position is available full-time, with part-time arrangements possible for the right candidate. This remote-first role focuses on Generative AI development, specifically building and deploying advanced Large Language Models (LLMs) and AI agents. You'll work with state-of-the-art foundation models through platforms like AWS Bedrock and GCP Vertex AI to develop innovative GenAI applications and scalable AI infrastructure for our clients.

Key Responsibilities:

Generative AI Development:

• Design and implement production-ready generative AI applications and AI agents using foundation models and cutting-edge protocols like MCP and A2A
• Fine-tune and optimize LLMs for specific use cases and domains
• Create and maintain prompt engineering strategies and evaluation frameworks
• Design and deploy autonomous AI agents with targeted capabilities

AI/ML Engineering:

• Build end-to-end LLM pipelines for fine-tuning, deployment, and monitoring
• Implement RAG (Retrieval-Augmented Generation) systems
• Create efficient vector storage and embedding solutions

Infrastructure and Operations:

• Build and maintain robust AI infrastructure using AWS and GCP services
• Implement monitoring systems for model performance and infrastructure health
• Optimize cloud resources for cost-efficiency while maintaining performance

Preferred Qualifications:

• 4+ years of experience in AI, machine learning, or data science, with a recent focus on Generative AI
• Strong programming skills and experience with LLM and Agent frameworks (LangChain, CrewAI)
• Expertise in cloud platforms (AWS, GCP) and containerization technologies
• Deep understanding of LLM operations, including prompt engineering and RAG
• Experience with vector databases and semantic search implementations
• Experience building and deploying AI agents using modern frameworks
• Strong analytical and problem-solving abilities

Employment Options:

• Full-time position (40 hours/week)
• Part-time arrangements available for qualified candidates (minimum 20 hours/week)

Benefits:

• Potential career paths include AI Team Lead
• Collaborative remote team environment
• Opportunity to contribute to open-source GenAI initiatives and research publications

Overview
We are seeking an experienced and hands-on Databricks Specialist to join our partner’s team. In this role, you will be responsible for auditing current workloads and engineering robust, efficient data-processing pipelines across the Bronze, Silver, and Gold layers of the medallion architecture.

Key Responsibilities

• Audit existing Databricks workspaces, notebooks, and jobs to ensure performance, security, and cost-efficiency.
• Design and build modular batch and streaming sub-pipelines that land, cleanse, enrich, and publish data as physical tables across all medallion layers.
• Implement robust exception handling, alerting, and automated rollback/retry mechanisms.
• Create comprehensive documentation, reusable code samples, and lead knowledge transfer sessions for data engineers and analysts.

Required Skills & Experience

• 4+ years of experience building production-grade ETL/ELT pipelines on Databricks (Spark 3.x, Delta Lake).
• In-depth knowledge of the medallion architecture, performance tuning (e.g., Optimize/Z-Ordering), and cost-effective cluster configurations.
• Proficiency in PySpark or Scala, along with advanced SQL skills — including job profiling and fine-tuning at the shuffle partition level.
• Demonstrated experience in building reliable pipelines with data quality checks, unit testing, and CI/CD (e.g., Databricks Repos, GitHub Actions, Azure DevOps).

Nice to Have

• Experience with Unity Catalog, serverless compute, or Databricks Photon.
• Relevant certifications such as Databricks Data Engineer Professional or Databricks Champion Enablement (DBCE).

The Role

We’re looking for a Senior ML Engineer to lead the design, deployment, and optimization of large-scale models powering intelligent agents. Your role spans model architecture, operational deployment, and production monitoring.

Key Responsibilities

• Design, fine-tune, and evaluate large language models and neural networks for modular agent behavior
• Build robust ML pipelines (data ingestion, feature engineering, model training, serving, monitoring)  
• Develop containerized model serving infrastructure (Docker, Kubernetes), integrating with backend APIs
• Implement evaluation frameworks, A/B testing, and performance metrics to quantify agent effectiveness
• Ensure reproducibility, traceability, and compliance across ML lifecycle
• Collaborate with backend engineers to define inference service SLAs and efficient real-time ML delivery
• Mentor junior ML teammates and establish team-level best practices

Requirements

• 5+ years as an ML Engineer or applied ML researcher with production model deployment experience
• Strong Python skills, experience with ML frameworks (TensorFlow, PyTorch) and LLM tooling (HuggingFace)
• Expertise in MLops: Docker, Kubernetes, model serving (e.g., Triton, FastAPI), CI/CD
• Familiarity with data pipelines, SQL, cloud platforms (AWS SageMaker, GCP Vertex, Azure ML)
• Solid understanding of model evaluation, A/B testing, and ML performance metrics
• Excellent collaboration skills with product, backend, and data teams

Nice to Haves

• Prior work with conversational agents, retrieval-augmented generation, or multi-model orchestration
• Experience with vector search stacks (e.g. Pinecone, FAISS)
• Knowledge of embedding techniques, prompt engineering, or Reinforcement Learning from Human Feedback (RLHF)
• Startup experience and ability to navigate ambiguity and shape technical direction

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential

Our company Strikersoft with offices in Kyiv, Stockholm, Bucharest and 13 years history, is expanding the team and looking for an Engineer interested in Artificial Intelligence for an AI solution for Healthcare.

1. Project description

Strikersoft is advancing its Edge AI research program with exciting projects planned for the next five years. We aim to develop an effective system for rescue missions in natural and man-made disasters. Our goal is to create a highly effective solution that integrates vital health data from contactless technologies like camera etc.

Join us in shaping the future of disaster response with innovative technology that makes a real difference.

2. Your Role

As an Engineer in our cross-country team, you will focus on AI model development and integrating software algorithms into FPGA prototypes. You will collaborate continuously with a professor’s team at KTH, the Royal Institute of Technology (Stockholm, Sweden). 

Your responsibilities will include:

• Representing Strikersoft within the KTH and Sweden consortium, by offline/online communication and reporting.
• Participating in educational activities at KTH.
• Developing AI software in close collaboration with other members of the Strikersoft IoT/AI lab.
• Contributing to Strikersoft’s knowledge base, including code repositories, technical documentation, and scientific papers.
• Driving innovation and sharing your expertise with lab members.
• Forming and managing a proprietary dataset to support AI model development.

Place: We are considering candidates in Ukraine who can travel at least once a month to Kista (Stockholm, Sweden).

3. Your skills and experience

We are looking for an Engineer with a strong interest in AI, mathematics, computer science and scientific aspects of these subjects. You have a master’s degree computer science and/or electrical engineering or equivalent.

Your strength lies in seeing the big picture specific to use cases and customer focus. You are thorough with a mindset of delivering quality over quantity, as well as having strong communication skills. As a person you are driven, eager to develop yourself further and, team focused.

During the recruiting process, candidates will be assessed upon their abilities below:

• Effective collaboration with others while maintaining the ability to work autonomously and seek support or guidance as needed.
• Maintaining a professional approach in all aspects of work.
• Ability to meet deadlines consistently while managing time effectively.
• Proactive Risk Management — identifying and escalating risks early to ensure timely resolution and avoid potential issues.
• Can analyse and work with complex issues.
• Have a strong background in mathematics, digital design, hardware description languages and machine learning algorithms.
• Open-Source Development.
• Programming languages such as Python, C++, VHDL/Verilog
• Mandatory to write and speak English well.

4. What you will be a part of

KTH Royal Institute of Technology in Stockholm is the Swedish coordinator for these projects. KTH makes the HW framework for silicon chip production based on their SiLago framework. Strikersoft works very close with KTH. KTH is one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. KTH is Sweden’s largest technical research and learning institution and home to students, researchers, and faculty from around the world. The research and education cover a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Chips Joint Undertaking (Chips JU) is a European partnership program under Horizon Europe and a further development and expansion of Key Digital Technologies JU. The main task of the program is to implement the European Chips Act, which will strengthen Europe’s competitiveness in semiconductor technologies for Edge AI applications. The program contains many multi-international, multi partner projects.

5.  What we offer

• The possibility to study and work in a dynamic and international research environment in collaboration with industries and prominent universities from all over Europe.

   

We are seeking an AI Engineer to join one of our customers’ teams. This position will play a key role in applying state-of-the-art machine learning and AI techniques to enhance automated accessibility testing, drive intelligent analysis of scan results, and develop algorithms that add value to their product suite. The AI Engineer will work to build scalable ML systems that integrate into the client's core products, ensuring they are robust, ethical, and aligned with the client’s mission of digital equality.

The ideal candidate would have experience deploying ML models in production environments, preferably in the domains of computer vision, and NLP. An understanding of supervised and unsupervised learning, model evaluation, data science, and responsible AI principles is essential. Prior work in accessibility or web technologies is a plus.
 

Requirements:
 

• 3+ years of experience in machine learning or AI engineering, with a strong focus on deploying models in production environments.
• Proficiency with Python and common ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.
• Experience building and maintaining scalable ML infrastructure
• Strong back-end engineering skills, including designing APIs, integrating with cloud services, and building infrastructure to support ML workflows.
• Hands-on experience with data engineering tools and workflows (e.g., AWS Glue, Athena, Spark, or similar).
• Strong understanding of model lifecycle management, including training, evaluation, deployment, and monitoring in real-world systems.
• Familiarity with web technologies (HTML, CSS, JavaScript) and an interest in digital accessibility.
• Excellent communication skills, with the ability to explain complex ML concepts to both technical and non-technical audiences.

• At least Upper Intermediate English level.

   

Nice to Have

• Computer Vision, NLP.
• Docker & AWS.
• Accessibility knowledge.
   

Responsibilities:
 

• Process and collect data for AI systems, create and maintain data pipelines for developing and deploying AI algorithms at scale.
• Research the state of the art in AI/ML and creatively apply it to our mission of digital equality.
• Design and develop algorithms using AI/ML to enhance our product suite and increase automation.
• Contribute to technical documentation and share findings with stakeholders through demos, presentations, and reports.
• Evaluate algorithm performance using rigorous statistical and domain-relevant metrics, iterating for continual improvement.
• Participate in code reviews, team planning, and cross-functional collaborations to ensure high engineering standards.
   

We offer:
 

• Annual paid vacation of 18 working days.
• Extra vacation days for long-lasting cooperation.
• Annual paid sick leave of 10 days.
• Maternity/Paternity leave.
• The opportunity for sabbatical leave.
• Marriage and Parenthood Package.
• Compensation for sports activities (up to 250$ per year) or health insurance covering (70%) — after the trial period.
• Internal education (corporate library, Udemy courses).
• Career development plan.
• English and Spanish classes.
• Paying taxes and managing PE (Private Entrepreneur).
• Technical equipment.
• Internal Referral program.
• Opportunity to take part in company volunteering activities.
• Sombra is a “Friendly to Veterans” award-holder.
  
   

If you believe you are a suitable candidate for this position, please attach your updated resume using the provided link.
Our recruitment team will review your profile, and if it aligns with our current job openings, we will contact you shortly. If you don’t receive a reply from us within 5 business days, it means we have decided to move forward with other candidates.
Thank you for understanding.

OBRIO is an IT company with Ukrainian roots inside Genesis business ecosystem. Our team consists of more than 250 talented professionals whose ambitions and striving for success help us build the best products on the market. We have offices in Kyiv and Warsaw.

We are developing Nebula – the biggest brand in the spiritual niche. Nebula has over 60 million users worldwide and has been ranked as the № 1 lifestyle app of the day in the Apple Store and Play Market in the USA, Canada, and Australia several times. Nebula is available on iOS, Android, and Web.
 

Our mission is to make people happier by improving the quality of their relationships.

Here are some details we would like to share with you:

• Nebula is #1 in its niche in terms of downloads and revenue targets;
• 60 million users worldwide;
• Users from 50+ countries;
• 4.8 — our average AppStore rating (with more than 215 thousand ratings;
• OBRIO's achievements and team's expertise were shared in Tier-1 international and Ukrainian media, organizations, and brands such as Forbes Ukraine, TechCrunch, VECTOR, The Next Web, Tech.eu,Entrepreneur Media, Fast Company, AIN, IT Arena, MEGOGO, DOU, Projector Institute;
• OBRIO — lovemark-brand з найвищим eNPS (Forbes).
   

At OBRIO, innovation drives everything we do. At OBRIO, innovation drives everything we do. We’re a fast-growing and forward-thinking company seeking an AI Engineer to strengthen our growing AI team and contribute to the development and scaling of AI-driven solutions. You’ll have the opportunity to take ownership of impactful projects across key departments marketing, support, content, and payment risk management while contributing to the evolution of our AI strategy and collaborating with fellow AI specialists.

Your impact:

• Develop AI tools for content generation and prompt optimization.
• Build predictive models for marketing targeting and performance.
• Automate processes to improve efficiency for support and supply teams.
• Design payment risk management models using AI.
• Share AI insights with stakeholders and drive cross-team knowledge-sharing sessions.
• Stay ahead of AI advancements to identify innovative solutions.
   

About you:

• 3+ years of experience in AI/ML development and deployment.
• Strong Python skills and expertise in frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in NLP, predictive analytics, and statistical modeling.
• Experience with data processing tools (Pandas, NumPy) and database systems (SQL, NoSQL).
• Deep understanding of supervised and unsupervised learning methods.
   

Nice-to-Have:

• Experience scaling AI models with Docker, Kubernetes, or cloud platforms.
• Expertise in predictive modeling for marketing or payment risk management.
   

Why OBRIO is the best place to work?

• Unleash Your Ambitions: Our company was built by ambitious people who never settle for less. By joining OBRIO, you'll have the chance to unleash your own ambitions and achieve your career dreams.
• We don’t just give you opportunities for growth and development, we give you maximum autonomy and believe we can’t do without you and your active thinking.
• Collaborate in a Team Environment: We believe that success is a team effort. When you join OBRIO, you'll have the chance to collaborate with talented individuals who share your passion for achieving outstanding results.
• At OBRIO, we’ve gathered influential experts, all of whom are open to sharing their knowledge and ready to help solve issues based on their experience. This is the company where you can quickly reach your potential and advance your career.
   

Our benefits:

• Work from the comfort of your home or from one of our offices in Kyiv or Warsaw. The choice is yours!
• Enjoy 20 annual vacation days and unlimited sick leave, all covered by the company;
• Don't worry about getting the right equipment, we've got you covered if necessary;
• Stay healthy with access to a corporate doctor online, and health insurance options in Ukraine or a fixed amount towards insurance abroad after your probation period;
• Keep learning with our extensive corporate library, internal online meetings, and lectures;
• Grow your skills with our training compensation program;
• Take advantage of our supportive corporate culture, including assistance with relocation, advice on legal stay abroad, housing support, and help for third-country nationals;
• Have fun with our online events and team-building activities.
   

Here's what our hiring journey looks like: Initial Screening ➡️ Skills Assessment➡️ Team Interview ➡️ Final Check ➡️ Job Offer.
 

Let's team up and reach for the stars together!
 

 About Us:

We are a fast-growing AI startup building cutting-edge solutions powered by large language models (LLMs). Our products range from automation and intelligent agents to domain-specific copilots for clients across the US, Europe, and Asia. We're now looking for an experienced Senior LLM Engineer to help us push the boundaries of what LLMs can do.

What You’ll Do:

• Design and implement LLM-based solutions using OpenAI, Anthropic, Mistral, LLaMA, or similar
• Develop and optimize prompts for specific business use cases (prompt engineering)
• Fine-tune and adapt foundation models using techniques like LoRA, QLoRA, PEFT, instruction tuning
• Build and maintain inference pipelines for evaluating model performance and scalability
• Design and improve RAG (Retrieval-Augmented Generation) systems for production use
• Stay on the edge of the latest LLM and NLP research and apply best practices
• Collaborate with product managers, ML researchers, and backend engineers

Requirements:

• 4+ years in software or ML engineering, with 1–2 years working specifically with LLMs
• Strong Python skills; experience with PyTorch, HuggingFace Transformers
• Hands-on experience with prompt engineering and prompt chaining (LangChain, LlamaIndex, etc.)
• Experience with fine-tuning LLMs and efficient model adaptation
• Familiarity with vector databases (e.g., FAISS, Weaviate, Qdrant)
• Solid understanding of model evaluation techniques (BLEU, ROUGE, perplexity, human evals)
• Comfortable working in a fast-paced, research-driven environment

Nice to Have:

• Experience deploying LLMs in production (APIs, Docker, GPU scaling)
• Knowledge of multi-modal models or embeddings
• Publications or open-source contributions in NLP or ML
• Experience with data labeling, synthetic data generation, or model alignment

We Offer:

• Competitive compensation and equity options
• Access to premium LLM APIs and GPU compute resources
• A flat, founder-friendly culture with a focus on impact
• Opportunities to shape the product and research direction
• Flexible working hours and location