Jobs

Ми шукаємо на проект AI Developer (middle level, 3-5 years).

Основні вимоги:

• 3+ Years of experience developing RL agent solutions
• Or 2+ Years of experience developing solutions with LLMs & RAG.
• 3+ Years of Software Development experience with proficiency in:
• Python:
• Numpy
• Torch or other gradient tracking tensor math library

Другорядні вимоги:

• 2+ Years of IoT and Timeseries data manipulation.
• 2+ Years of AWS cloud and/or Docker.
• 2+ Years using MLOps.
• Experience using AI for industrial process control.

• Working Knowledge of Test-Driven Development.

   

Підсумок по необхідним технологіям: Reinforcement learning (RL), LLMs & RAG, Python, Postgres, Numpy, PyTorch, IoT and Timeseries data manipulation, AWS, Docker, MLOps.

Важливо!: Excellent communication in English. (B1, Intermediate англійська не ок). Strong initiative, problem-solving mindset. Not just ticket takers – expected to be proactive and collaborative.
 

Обов’язки:

• Developing AI systems and tools for use in the client’s software offerings.
• Researching and designing new solutions to AI/ML/DS problems as needed.
• Educating and knowledge sharing AI research with a cross-functional team consisting of software development, engineering, and business domain experts.
• Learning Domain knowledge as necessary and working with SMEs to develop high-quality problem definitions.
• Owning the AI development lifecycle, inclusive of preparing data for use in AI systems, exploratory data analysis, model development, model deployment and implementation, monitoring, and maintenance.
• Collaboration with a globally distributed team that is remote and spread across various time zones.

Про клієнта та проект: Product company from USA. They offer AI-driven digital solutions for water treatment. Tech stack: Python (100%), Postgres, AWS, RL, LLMs, RAG, IoT, Time Series. Ongoing project with long-term expansion in Europe. 
 

Залученість: Full-time, remote, contract cooperation. Overlap with 10–11 AM EST scrum required (equals 5–6 PM Ukraine time). Flexibility is expected for occasional meetings with Singapore and India.

Дата старту: ASAP. 

We are a software web and mobile development company pivoting towards an AI-driven future
Leded by a visionary CEO with extensive expertise in sales, marketing, and production, and together with our team, which includes AI Engineers, Senior Data Scientists, PMs, QAs and Python Engineers our focus is integrating AI into client products and pioneering AI business automation
Our expertise spans Agentic AI development, workflow automation, analytics, dashboards, and content creation, primarily concentrating on the innovative realm of AI over traditional ML

For example, one of our projects
We develop cutting-edge AI-powered recommendation systems for e-commerce and real estate sectors. Our solutions help clients create personalized user experiences using modern artificial intelligence technologies.

How it works?
The ETL pipeline forms the foundation of our system, efficiently processing store product data through four key stages: raw data extraction from e-commerce platforms, preprocessing for standardization, thorough validation, and structured saving into our database ecosystem. This ensures all product information, including descriptions, specifications, and images, maintains consistent quality and format for downstream processing.

Our system utilizes a sophisticated multi-database approach where the Products Database stores core product information, complemented by vector databases for semantic search capabilities. The Products Metadata maintains structured categorization of items and their attributes, while Store Metadata holds essential business information about shipping, returns, and FAQs. User Context Data captures and maintains session information for personalized shopping experiences.
 

The Context Manager serves as the central orchestrator of our platform, coordinating all agent interactions and managing session data flow. It ensures seamless communication between different AI agents and maintains user context throughout the shopping journey, enabling personalized and contextually relevant product recommendations.
 

Our system employs a network of specialized AI agents working in harmony: the Recommendation Agent generates precise product searches using LLM-powered SQL queries, the Q&A Agent provides detailed product information, while the Alternatives and Bought Together Agents suggest complementary items. The Result Enrichment Agent enhances product descriptions, and the Related Query Agent generates relevant follow-up questions to better understand customer needs.
 

The Comparison Agent provides comprehensive product analysis by examining both similarities and differences between items. It processes multiple products simultaneously and merges the results into clear, actionable insights, helping customers make informed purchasing decisions through detailed product comparisons.

Technical Skills

• Strong proficiency in Python
• Experience with modern Large Language Models (LLMs)
• Experience in developing and optimizing ETL pipelines
• Deep understanding of recommendation systems principles
• Experience with vector and relational databases
• REST API development skills
• Understanding of machine learning and deep learning principles
• Knowledge of Natural Language Processing (NLP) methods
• Experience with semantic search systems
• Understanding of multi-agent system principles
• 2+ years of experience in developing production ML systems
• Experience working with MCP (Model Context Protocol)

• Practical experience integrating AI solutions into existing business processes

   

Nice to Have

• Experience in Data Science
• Experience with microservice architecture
• ML systems performance optimization skills

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

The Senior Statistician collaborates with Biostatisticians, Statistical Programmers, Clinical Data Managers, Clinical Research Associates, and sponsors’ teams to provide high-quality, reliable statistical expertise and support.

Additionally, they perform and oversee quality control (QC) of data displays with inferential statistics. Also, Senior Statistician conducts QC analysis datasets prepared by others, maintain project administration files (including protocols, annotated CRFs, statistical analysis plans, annotated shells, programming/QC rules, tracking logs, and project communications).

Your Role

• Statistical leadership and support to clinical trials
• Participate in cross-functional study-related activities and team meetings
• Perform sample size calculations when needed
• Author or review statistical analysis plans
• Coordinate with other biostatisticians, statistical programmers and data managers to prepare/conduct/review statistical analyses
• Ensure the accuracy of final statistical deliverables
• Provide guidance and supervision to programmers in authoring analysis dataset specifications and programming/validation of tables, listings, and figures
• Perform validation of analysis variables and statistical outputs

• Participate in other activities and meetings to support Biostatistics and the Development Team as needed

   

Your Profile

• Master’s degree in statistics or related fields with 6+ years of industry experiences as a Statistician
• PhD degree with 3+ years of postgraduate experiences in Biostatistics or equivalent
• Ability to lead project and manage team members and work collaboratively, effectively, and productively in diverse organization structures

• Solid statistics background and training, working knowledge of advanced statistical methodologies and SAS programming skills; good understanding of drug development and experiences with clinical trial data analyses/preparation for submissions; good knowledge and understanding of regulatory guidelines 

   

What You Will Love About Working Here

• We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.
• The Gift from the Company - Christmas holidays from December 25 to December 31.
• Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Description

Our client is one of the United States largest high-speed Internet, video and phone providers to residential customers.

Requirements

• Machine Learning Python
• Mathematician or relevant education
• Good understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, GBM, xGBoost , etc
• Practical experience with data mining, data visualization
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Job responsibilities

• Undertaking data collection, preprocessing and analysis
• Analyze large amounts of information to discover trends and patterns
• Building models to address business problems
• Presenting information using data visualization techniques
• Collaborate with engineering and product development teams

Skylum allows millions of photographers to make incredible images faster. Our award-winning software automates photo editing with the power of AI yet leaves all the creative control in the hands of the artist.
Join us on our mission to make photo editing enjoyable, easy, and accessible to anyone. You’ll be developing products with innovative technologies, providing value and inspiration for customers, and getting inspired in return.

Thanks to our incredible team of experts, we've built a collaborative space where you can constantly develop and grow in a supportive way. At the same time, we believe in the freedom to be creative. Our work schedule is flexible, and we trust you to give your best while we provide you with everything you need to make work hassle-free. Skylum is proud to be a Ukrainian company, and we stand with Ukraine not only with words but with actions. We regularly donate to various organizations to help speed up the Ukrainian victory.

About the Role:
We’re looking for a motivated junior engineer. You’ll be working alongside experienced ML engineers, contributing to the development and optimization of machine learning models used in our photo editing products. Your work will directly impact how users interact with and transform their images.
 

What You’ll Do:
 

• Assist in developing and improving ML models for tasks like segmentation, object detection, classification, and other computer vision challenges.
• Work with large datasets and help prepare data for training and evaluation.
• Support the implementation of models into production environments.
• Collaborate with the team to iterate on model performance and quality.

What We’re Looking For:
 

• Some experience in software development or machine learning projects, including practical work in at least one of the following areas: object detection, segmentation, classification, face recognition, or landmark detection.
• Understanding of the ML lifecycle — data collection, training, evaluation, and improvement.
• Solid knowledge of Python and some familiarity with Bash or other scripting languages.
• Experience using PyTorch or another deep learning framework, and basic understanding of OpenCV or other computer vision tools.
• Ability to work independently on assigned tasks and learn quickly.

Nice to Have (Not Required):
 

• Experience with model export/conversion tools (Core ML, OpenVINO, TensorFlow Lite).
• Exposure to GANs or diffusion models.
• Familiarity with classical image processing techniques.
• Interest in R&D and solving open-ended problems.

What we offer:

For personal growth:

• A chance to work with a strong team and a unique opportunity to make substantial contributions to our award-winning photo editing tools;
• An educational allowance to ensure that your skills stay sharp;
• English and German classes to strengthen your capabilities and widen your knowledge.

For comfort:

• A great environment where you’ll work with true professionals and amazing colleagues whom you’ll call friends quickly;
• The choice of working remotely or in our office space located on Podil, equipped with everything you might need for productive and comfortable work.

For health:

• Medical insurance;
• Twenty-one days of paid sick leave per year;
• Healthy fruit snacks full of vitamins to keep you energized.

For leisure:

• Twenty-one days of paid vacation per year;
• Fun times at our frequent team-building activities.

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!

Ми шукаємо на проект AI Developer (middle level, 3-5 years).

Основні вимоги:

• 3+ Years of experience developing RL agent solutions
• Or 2+ Years of experience developing solutions with LLMs & RAG.
• 3+ Years of Software Development experience with proficiency in:
• Python:
• Numpy
• Torch or other gradient tracking tensor math library

Другорядні вимоги:

• 2+ Years of IoT and Timeseries data manipulation.
• 2+ Years of AWS cloud and/or Docker.
• 2+ Years using MLOps.
• Experience using AI for industrial process control.

• Working Knowledge of Test-Driven Development.

   

Підсумок по необхідним технологіям: Reinforcement learning (RL), LLMs & RAG, Python, Postgres, Numpy, PyTorch, IoT and Timeseries data manipulation, AWS, Docker, MLOps.

Важливо!: Excellent communication in English. (B1, Intermediate англійська не ок). Strong initiative, problem-solving mindset. Not just ticket takers – expected to be proactive and collaborative.
 

Обов’язки:

• Developing AI systems and tools for use in the client’s software offerings.
• Researching and designing new solutions to AI/ML/DS problems as needed.
• Educating and knowledge sharing AI research with a cross-functional team consisting of software development, engineering, and business domain experts.
• Learning Domain knowledge as necessary and working with SMEs to develop high-quality problem definitions.
• Owning the AI development lifecycle, inclusive of preparing data for use in AI systems, exploratory data analysis, model development, model deployment and implementation, monitoring, and maintenance.
• Collaboration with a globally distributed team that is remote and spread across various time zones.

Про клієнта та проект: Product company from USA. They offer AI-driven digital solutions for water treatment. Tech stack: Python (100%), Postgres, AWS, RL, LLMs, RAG, IoT, Time Series. Ongoing project with long-term expansion in Europe. 
 

Залученість: Full-time, remote, contract cooperation. Overlap with 10–11 AM EST scrum required (equals 5–6 PM Ukraine time). Flexibility is expected for occasional meetings with Singapore and India.

Дата старту: ASAP. 

About Snoika

Snoika is an AI-powered marketing engine that guarantees 5+ qualified inbound leads per week for B2B companies. We combine knowledge-graph analytics, LLM optimization, and high-quality content pipelines to out-rank traditional SEO agencies at a fraction of the cost.

Why You’ll Love This Role

• Hands-on impact: You’ll build models and agents that go live every sprint, directly driving traffic, leads, and revenue.
• Fast learning curve: Work closely with PhDs from NASA, Google, Microsoft.
• Startup energy: Small, supportive team—your voice and solutions will shape the product.
• Flexible setup: Remote autonomy, flexible hours—focus on results, not desk time.

What You’ll Do

• Build LLM-powered pipelines: Use Python (or Node.js), LangChain, and LangSmith to create end-to-end automations.
• Develop RAG systems: Integrate vector databases (Pinecone, Qdrant, Weaviate) for knowledge retrieval and gap scans.
• Run prompt experiments: Design A/B tests on prompts, system messages, and examples to improve accuracy.
• Automate tasks: Deploy agent loops for gap scans, content generation, and weekly share-of-voice scoring.
• Collaborate in sprints: Pair with Product, Growth, and Engineering in one-week Agile cycles, demoing results each sprint.
• Track KPIs: Monitor model performance (precision/recall, share-of-voice uplift, lead conversion).

What We’re Looking For

• 1+ years of hands-on AI/ML engineering or data science experience.
• Strong Python (or Node.js) skills and familiarity with LLM tooling (LangChain, LangSmith, OpenAI/Anthropic/Gemini APIs).
• Experience with vector embeddings and search (e.g., Pinecone, Qdrant, Weaviate).
• Solid data-engineering fundamentals: SQL, data modeling, and workflow orchestration (n8n, Airflow, Prefect, dbt).
• Comfortable in an Agile/Scrum environment—shipping code every sprint.
• Basic understanding of RAG workflows, SEO/AIVO concepts, or recommender systems.
• Startup mindset: proactive, adaptable, and eager to own projects from start to finish.
• Good English communication; additional languages are a plus.

Nice-to-Haves

• Hands-on with Text-to-Image models (e.g., Stable Diffusion).
• Experience fine-tuning or deploying custom LLMs.
• Background in marketing analytics or GEO/SEO tools.

What We Offer

• Impact from day one: your work directly moves the needle for real customers.
• Competitive salary with clear growth paths.
• Mentorship: learn from AI leaders and seasoned data scientists.
• Fast-paced growth: join us as we scale revenue and features quarter-over-quarter.
• Flexible remote setup: deliver outcomes on your schedule.

About ITBS Group of Companies

ITBS is an Estonian software boutique specializing in cloud, blockchain, AI, data analysis, and security. We deliver end-to-end solutions that blend strategic insight with cutting-edge technology.

Applefy - Premium Web & Mobile Development Company.

We specialize in building high-quality Mobile and web products, 
ensuring excellence in every project. 
Based in Ukraine and the EU, we can effectively collaborate with clients from Europe, the US, and Asia.

We are looking for an experienced LLM Engineer to lead the development of a scalable MVP using cutting-edge Retrieval-Augmented Generation (RAG) and fine-tuning techniques. This role is ideal for someone who thrives in startup environments and can take ownership of end-to-end LLM pipeline development.

What We Offer:

• Flexible work schedule: Manage your own time and work at your own pace.
• Fully remote: Work from anywhere in the world.
• Comprehensive leave policy: Enjoy all official holidays, 20 days of paid vacation, and 10 sick days without needing a doctor’s note.

Key Requirements:
 

• Proficiency in spoken English
• Strong communication skills
• Design and implement RAG pipelines combining vector search and LLMs.
• Fine-tune open-source or proprietary LLMs for domain-specific tasks.
• Build a scalable and modular MVP ready for future production deployment.
• Integrate with embedding databases (e.g., FAISS, Weaviate, Pinecone).
• Optimize inference and memory usage for cost-effective scaling.
• Collaborate with product and engineering teams on system architecture.
• Ukrainian speaker 
• Keen attention to detail
• Solid understanding of UI/UX principles

Preferred Qualifications:

• A desire to learn and grow professionally
• At least two years of experience in product development
• experience with Compose
• Residency in Ukraine 🇺🇦

Write "Apple" in the proposal.
If you’re ready to take the next step in your career with Applefy.

We’d love to hear from you!
 

At airSlate, our journey began in Boston, USA, in 2008. What started as a single product with 3,000 customers has grown into an influential tech company with 900+  team members across six offices worldwide. In 2022, airSlate reached a total valuation of $1.25 billion and became a  'Unicorn 🦄'. But even as we scale, team members remain our most valuable asset. That's why we've built a company that excites people about their work.

We develop products that serve over 100 million users with no-code workflow automation, electronic signature, and document management solutions. The company's portfolio of award-winning products, signNow, pdfFiller, DocHub, WorkFlow, Instapage, and US Legal Forms, empower teams to digitally transform the way their organizations run.

We’re on the hunt for a Senior/Staff Machine Learning Engineer to join our adventure — someone ready to wrangle data, tame models, and help write the next (and smartest) chapter in airSlate’s story.

At airSlate, we’re focusing on high-impact AI initiatives across our core marketing engine and SaaS product lines — driving innovation in digital B2C marketing and customer-facing workplace automation. Our long-term strategy is to transform the Marketing Engine into a powerhouse of automation, using AI to reimagine not just isolated marketing tasks but the entire approach — shifting from incremental improvements to building an intelligent system that drives the future of SaaS marketing. You’ll be part of this transformation from the ground up, working closely with senior leadership — including the CEO — to shape company-wide strategy. This is a highly visible, strategic role where bold thinking is not just encouraged, but expected. You’ll have the space to explore ambitious ideas, experiment with cutting-edge technologies, and design solutions that challenge conventional thinking. We use AWS SageMaker to build and deploy traditional AI models, while also developing novel applications powered by large language models — tools that will help us automate smarter, communicate better, and unlock entirely new product capabilities.
 

We invite you to join us and be at the forefront of AI innovation!
 

What you'll be working on:

• Design, Develop, and Train ML Models:
• Data Collection, Preparation, and Feature Engineering:
• Model Evaluation, Validation, and Optimization:
• Deploy and Maintain ML Models in Production:
• Explore Agentic AI and RAG Applications:
• Collaborate with Cross-Functional Teams:
• Develop and Maintain Data Pipelines:

What we expect from you:

• Proven experience in an AI/ML environment, with a track record of delivering impactful solutions.
• Hands-on expertise with traditional ML techniques (Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning, especially in Deep Learning).
• Proficiency in Python for model development and implementation.
• Familiarity with cutting-edge LLM technologies, including effectively utilizing components like embeddings for advanced applications and solutions.
• Strong communication skills, able to clearly articulate technical concepts to both technical and non-technical stakeholders.
• Experience working effectively with distributed teams across time zones, ensuring seamless collaboration.
• A cooperative, team-player attitude with a focus on knowledge sharing and growth.
• Fluent in English, both written and spoken.

Nice to have:

• Hands-on experience with AI applications in digital marketing, particularly in automation and optimization.
• A Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, Statistics, or a related field; advanced degrees (e.g., Master’s or Ph.D.) are a plus.
• Experience contributing to research projects, academic or industry-led, especially those involving novel AI/ML approaches or experimental techniques.
   

What we offer:

— Flexible work environment — We value the advantages of in-person collaboration and prioritize work from our offices in Wroclaw or Bialystok. However, we also provide flexible work arrangements to accommodate remote or hybrid options and flexible scheduling.

— Bonuses and compensation — On top of a competitive base salary, we reward our team members' performance with a quarterly bonus to recognize achievements, time, and effort.

— Stock options — At airSlate, our team members are more than employees; they're business partners. We issue stock options that grant ownership in the company, allowing everyone to share in its growth.

— Professional growth opportunities — We are committed to ongoing improvement and welcome those passionate about learning. We cover professional development courses, conferences, literature, English classes, and more for each team member.

Health and well-being—We prioritize the health and well-being of our team. This is why we provide a Luxmed subscription, a Multisport card for every team member, access to the office's massage room, free lunches, and healthy in-office snacks to sustain your energy. Also, we provide all our team members with Mental Health Days, dedicated days off recognized globally to encourage people to log off and recharge.

— Open communication — We encourage transparent communication from all team members at airSlate. Feel free to share your thoughts, ideas, and concerns with our management team, CEO, any member of our leadership team, or any team lead at any time.
 

We are proud of: 

— airSlate Care for Ukraine — With a significant number of our team members in Ukraine, our foremost concern was ensuring their safety by providing both financial and logistical assistance to them and their families. What started as an immediate response has evolved into a cornerstone of the airSlate charity program. We match donations contributed by our team members, offer humanitarian aid to those affected by the conflict, distribute food packages to seniors, and support animal shelters. Our commitment remains steadfast in working towards restoring peace to Ukraine.

— airSlate Junior Club — Our sense of family extends beyond our team. All team members with children gain access to the airSlate Junior Club, featuring engaging events such as cooking classes, creative activities, and educational online games.

We are a US-based startup (Home Safe Services with IoT devices) launching AI/ML as a new direction and looking for a self-driven AI/ML Engineer to take the lead. This is a foundational role - you’ll be responsible for proposing, developing, and deploying AI/ML solutions from scratch.

Responsibilities
 

• Build and deploy end-to-end ML solutions
• Design and implement LLM-based systems (including RAG, MCP, fine-tuning, prompt engineering)
• Drive the AI/ML strategy
• Set up ML infrastructure (deployment, monitoring, CI/CD)
• Collaborate with the product team to integrate ML into products

Requirements

• Strong skills
• Solid understanding of LLMs and generative AI
• Familiarity with cloud-based ML deployment
• Ability to work autonomously
• English: Upper-Intermediate or higher

We Offer

• Flexible format: Full-time or Part-time
• Key role in a growing product team
• Full ownership of AI/ML direction
   

If you’re someone who wants to make homes safer through IoT and AI solutions, we’d be glad to have you on our team. We have experience in IoT and are looking for someone who can help take our solutions to the next level!

Description:
We are looking for a motivated intern eager to grow their skills in web development and AI tools. You will work directly with our software developer, assisting with daily tasks and helping implement new features.

Responsibilities:

• Assist in the development and creation of a website using Zoho.
• Perform manual testing to identify errors and ensure code quality.
• Maintain and update technical documentation.
• Participate in ChatGPT-related tasks, such as prompting, integration, and automation.
• Support the development process by performing various technical tasks.
• Assist in building and improving retrieval-augmented generation (RAG) pipelines using embedding models and LLMs.
• Work with Python scripts and tools for API interaction, data processing, or automation tasks.
• Contribute to prompt engineering: designing, testing, and refining prompts for LLMs (ChatGPT, Qwen).
• Support workflow automation using tools like n8n, connecting APIs, databases, and AI models.

Requirements:

• Bachelor's degree (or final-year student) in computer science, IT, or related fields, or equivalent experience.
• Basic knowledge of HTML, CSS, JavaScript, and SQL.
• Knowledge of REST APIs and scripting languages (e.g., Deluge).
• Strong analytical and problem-solving skills.
• Attention to detail and ability to write high-quality code.
• Good communication and teamwork skills.
• English — Intermediate level (reading documentation and basic communication).
• Basic experience with Python for scripting, data manipulation, or automation.
• Familiarity with AI concepts, especially large language models (LLMs) such as GPT or Qwen.
• Understanding of embedding models, such as Sentence Transformers, and how they are used in semantic search or RAG pipelines.
• Experience with REST API integrations, including authentication and response parsing.
• Experience with low-code/no-code automation tools, such as n8n, is a plus.
• Curiosity and readiness to explore retrieval-augmented generation (RAG) systems and their application in real-world scenarios.
• Basic understanding of prompt engineering techniques to optimize interactions with LLMs.

What you will get:

• Annual salary review and adjustment.
• Accounting support.
• Training and development opportunities.
• Up to 6 additional days for training or personal development.
• One social day dedicated to community or environmental initiatives.
• Paid vacation (20 working days).
• 5 paid sick leave days.
• Flexible 7-hour working day.
• A friendly team open to ideas, experimentation, and growth.

If you are passionate about technology and artificial intelligence and eager to gain practical experience, we look forward to your application.

Apply here: https://www.ask24.ai/careers

🌎 Akvelon is a known USA company, with offices in places like Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to the client’s needs and processes.

We are looking for a Senior Machine Learning Scientist / Engineer with a strong research and engineering background in Natural Language Processing and Large Language Models (LLMs) to lead the development of advanced reasoning and summarization systems. You will drive cutting-edge innovation in multi-document understanding, reasoning LLMs, and model alignment techniques, working on greenfield challenges with meaningful, real-world applications.

Requirements:

• Substantial research experience in Reasoning LLMs, Chain of thought, Post training LLMs, RLHF, LLM Alignment, NLP areas
• Hands-on experience with training or fine‑tuning open‑source reasoning LLMs
• Deep expertise in NLP and LLM architectures
• Proven ability to design and run independent research and experimentation
• Strong Python and modern ML tooling skills
• Excellent written and verbal communication
• Ability to work autonomously

Nice to have:

• Applied research experience in Financial (Investing) domain
• PhD in Machine Learning, NLP, Computer Science, or a related field
• Applied research experience in industry
• Contributions to notable open‑source LLM projects (datasets, libraries)
• Publications and/or original research in the area
• GCP experience is strongly preferred

Overlap: up to 2PM EST (8PM CET)

Working conditions and benefits:

• Paid vacation, sick leave (without sickness list)
• Official state holidays — 11 days considered public holidays
• Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support program (Discount, Care, Health, Legal compensation)
• Paid external training, conferences, and professional certification that meets the company’s business goals
• Internal workshops & seminars
• Corporate library (Paper/E-books) and internal English classes

Develux is an IT software development company operating since 2014, focused on the US market with 250+ professionals. One of our core business units operates in the EdTech domain, offering academic writing services to students worldwide. We’re committed to expanding the platform’s functionality and content quality, improving user experience and business performance.
 
We’re seeking a AI Content Creator to produce high-quality, SEO-optimized content. You will work closely with SEO specialists and ORM specialists to ensure content is accurate, valuable, and consistent with our tone of voice. The ideal candidate is creative, flexible, research-driven!
 
Responsibilities

• Generate articles using AI tools based on provided topics and briefs;
• Proofread and edit AI-generated content for clarity, tone, and grammar;
• Optimize texts using basic SEO principles;
• Adjust content according to internal guidelines;
• Select and add relevant images to articles;
• Follow deadlines and task requirements precisely.

Work Experience:

• 1.5+ years of experience in copywriting, content creation, or related fields
• 1+ year of experience working with AI writing tools
• Previous work with SEO-optimized texts is highly desirable

Required Skills & Qualifications

• Strong skills of working with AI tools for generating text content;
• Understanding of basic SEO for content;
• Proficiency in content editing;
• B2–C1 level of English (writing-focused).

Additional Skills:

• Content literacy – ability to understand, structure, and improve written content
• SEO awareness – basic understanding of how search engines evaluate and rank content
• Editing skills – ability to spot inconsistencies, repetitions, and awkward phrasing
• Time management – capacity to prioritize tasks and deliver results on time
• Technical adaptability – openness to using AI tools and learning new digital platforms
• Analytical thinking – can evaluate content quality based on guidelines and make appropriate improvements
• Initiative – readiness to ask questions, clarify requirements, and improve drafts proactively

 Questions and Answers:
- Does the job come with a probation period, and if so, how long does it last?Yes, there is a three-month probation period.
- What is the expected work schedule?
Full-time, flexible, please start no later than 11:00 (on average 8 hours per day). The office in Kyiv is open from 9:00 to 20:00. You can work remotely and also you can choose hybrid mode where you can combine working on-site and remotely.
- How many vacation and sick days are provided?
Annual paid vacation – 21 working days; Paid confirmed sick leave; 6 unconfirmed sick days/days off a year.

What social package and benefits are offered?
- English courses (up to 80 USD/month after successful completion of the probation period)
- Compensation for the cost of a subscription sports center (up to 80 USD/month after successful completion of the probation period)
- Medical insurance (50% after successful completion of the probation period) or $200 a year for health care
- Corporate events

Hiring process:
- HR-call with Recruiter
- Test task
- Interview with the Hiring manager (1 hour)
- Reference check
- Proposal for cooperation with Develux

Please note that feedback with the results of the CV review will be provided only in the event of a decision to further consider your candidacy.
Otherwise, your data will be retained in the company's CV database, and we will gladly contact you if a suitable vacancy becomes available. The consideration period is 10 working days.

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

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

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

Key responsibilities:

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

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

   

Required skills:

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

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

   

Preferred qualifications:

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

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

   

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