Jobs

Join a pioneering team building a decentralized, censorship-resistant computing infrastructure powered by blockchain technology. Our platform is designed to support diverse, high-value use cases—from secure transactions and blockchain-native workloads to real-time AI and data-intensive applications.

We seek an Interpreter Developer with a strong mathematical background and proven research experience to lead the design and implementation of interpreters that convert mainstream programming languages into a custom execution environment tailored for decentralized infrastructure.

What You’ll Do:

• Develop interpreters and execution layers to translate code from mainstream languages (e.g., Python, JavaScript, Rust, etc.) into a custom low-level language designed for decentralized execution.
• Design and implement runtime semantics, type systems, and evaluation strategies for a secure and efficient execution model.
• Collaborate with compiler engineers, blockchain protocol teams, and systems developers to integrate the interpreter into a trustless, verifiable compute layer.
• Optimize interpreters for performance, determinism, and compatibility with parallel or distributed runtime environments.
• Apply your mathematical expertise to ensure formal correctness, predictable behavior, and support for symbolic/numeric operations.
• Contribute to developing custom DSLs or intermediate representations tailored for our blockchain-based compute engine.

What You Bring:

• Upper-Intermediate English or higher to communicate with US-based engineers and colleagues.
• Solid experience in interpreter or virtual machine development for general-purpose or domain-specific languages.
• Deep understanding of language design, runtime execution models, and compilation theory.
• Proficiency in systems or compiler-level programming languages (e.g., Rust, C++, Go, or OCaml).
• Strong mathematical foundation (e.g., logic, computational theory, algebraic structures); research publications or academic contributions are a strong plus.
• Familiarity with type systems, garbage collection, and low-level memory models.
• Ability to design safe, deterministic execution strategies in trustless or decentralized environments.
• Experience working with blockchain, Web3 infrastructure, or distributed systems is preferred but not required.

Nice to Have:

• Knowledge of formal verification, symbolic computation, or secure multi-party computation.
• Exposure to custom bytecode formats, AST transformation, or IR-level optimizations.
• Experience contributing to open-source compilers, interpreters, or language runtimes.

Why Join Us?

• Be part of a visionary team redefining decentralized computation beyond smart contracts.
• Tackle challenges at the intersection of language theory, systems design, and blockchain innovation.
• Work remotely with a global team of experts in AI, cryptography, and distributed infrastructure.

🎁 We offer:

- Daily support for your technical and personal growth;

- Professional and very friendly team, that is always ready to help and support;

- Medical Insurance;

- Flexible working hours;

- Offices in Ukraine;

- All official holidays;

- Paid day offs and sick leaves;

- Legal services and 24/7 lawyer protection;

- Tax & accounting services;

- Partly Tax coverage for Ukrainian contractors;

- The company provides all the necessary equipment;

- Fitness support upon request;

- English classes up to three times a week;

- The company pays 50% of the cost of refresher courses for any employee of the company;

- Workstation space;

- Mentoring and Educational Programs;

- Regular Activities on a Corporate level (Team Buildings, Sports Events, Table Games, Tech Events);

- Advanced Bonus System.

About project

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
• Machine Learning & LLM Expertise
• AWS Cloud Expertise
• Technical Execution
• Team Development & Communication
   

Qualifications:

• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

Description

Our customer is a global leader in digital media and entertainment services across film, video and online content from capture to consumption.

Since 1915, our customer has been the trusted partner for the world’s most successful Hollywood studios, independent film companies, TV networks, exhibitors, advertisers and others, offering best-in-class solutions in production, post production, distribution, asset and workflow management and new digital solution-based technologies.

This position is ideal for individuals who have the drive and desire to ‘make things’. It requires a highly motivated individual with attention to details and a hunger to learn and solve problems.

Requirements

Shifted working hours – Readiness to work till 12 AM Kyiv time

Required Experience

• 5+ years of experience working on machine learning applications and deploying AI/ML models into production environments;
• Proficiency in Python and experience in machine learning frameworks, (i.e. PyTorch, Tensorflow);
• Strong understanding of AI/ML concepts, algorithms, and technologies.
• Experience building and automating scalable machine learning pipelines in cloud ecosystems (Azure, AWS, GCP);
• Familiarity with cloud tools like S3, EC2, SageMaker, and Lambda;
• Expertise in neural networks, computer vision, NLP, and/or reinforcement learning;
• Advanced knowledge of Machine Learning models and LLM.

Preferred Experience

• Experience with any of the following: NVIDIA Enterprise AI Solutions, AWS Sagemaker, AWS Bedrock, AWS Clean Rooms, Data Lakes
• Experience with building and fine tuning various image, text, audio, and video classification models, such as shot/scene detection, captions, object labeling, attention scoring, etc.
• Experience with Media and Entertainment industry file formats and applications (IMF, Protools, MXF, 3D, etc)

Job responsibilities

An engineer in this position will design, develop, and architect services for the platform, in addition to:

• Contributing to cutting-edge R&D initiatives including service integration with emerging
  frameworks and platforms.
• Assisting with technical resolution of issues on mission critical production systems (you build it, you own it, you run it.)
• Thinking out of the box to come up with solutions that scale, are fault-tolerant, easy to grasp and elegant.

Skylum allows millions of photographers to make incredible images. 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.

Role Mission: 

We are looking for a strong Machine Learning Engineer who can build and improve ML models used in our product. Most of the tasks are related to computer vision and image processing. You will work on both common tasks like segmentation, detection, and classification, as well as more complex problems involving Diffusion Models, LLMs, VLMs, and other custom tasks without ready-made solutions.

You should be able to work independently, move fast, and quickly test new ideas.

What You Will Do

• Build and improve ML models, mostly for computer vision tasks.
• Handle the full ML process: collect and prepare data, train and test models, and improve them step by step.
• Work on both standard and new types of problems.
• Create fast prototypes and help turn successful ones into real products.
• Work closely with other teams to bring your models into the product.

What We’re Looking For

• 3+ years of real-world experience with ML, including at least 2 years in computer vision.
• Good understanding of how to build ML systems from start to finish.
• Hands-on experience with one or more of these: object detection, segmentation, img2img, generative networks.
• Ability to read, understand, and implement ideas from cutting-edge research papers. You stay current with top conferences (e.g., CVPR, NeurIPS, ICCV) and can turn academic innovations into practical solutions.
• Strong skills in Python and PyTorch.
• Experience optimizing models for efficient inference on local devices (CPU, GPU, NPU), including quantization, pruning, and runtime adaptation.
• Able to work with and explore large datasets.
• Comfortable working on your own and taking full responsibility for your tasks. Experience with prototyping and working in an R&D cycle.

Nice to Have

• Experience in research (PhD, papers, or personal projects).
• Experience training or fine-tuning foundational models (LLMs, VLMs).
• Experience training or fine-tuning diffusion models for specific image generation or enhancement tasks.
• Familiarity with classical image processing techniques.
• Experience with deep learning inference frameworks like ONNX Runtime, OpenVINO, Core ML, or others.
• Strong C++ skills, close to your Python level.
• Enjoy building and testing product ideas quickly.

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.

If you are looking forward to working with true professionals and simply amazing people & product — we are waiting for your CV!

Headway Inc is a global tech company, revolutionizing lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine. We believe lifelong learning should be accessible, personalized, and impactful to each individual. That’s how we change the world and why we bring together exceptional minds.

The core of our achievements is our team. We believe in people and shared values SELECT. That’s why, together with Maksym Shykov, Engineering Manager at Headway by Headway Inc, we’re looking for a ML Engineer who is passionate about answering complex questions and transforming the EdTech landscape with us.
 

What product will you be working on?

Headway is our flagship app, offering summaries of nonfiction bestsellers, daily insights, and gamified challenges. Headway is the world’s most downloaded book summary app and has been featured as App of the Day in over 30 countries, including the US, the UK, and Canada.
 

This job is perfect for you if you want to:

• Invest in cutting-edge AI and ML technologies: Work with the latest solutions and develop your skills in an innovative environment, as Headway is a large product with the resources to invest in advanced AI and ML.
• Make a rapid product impact: See the results of your work in the short term, allowing you to quickly observe the value and effectiveness of implemented initiatives.
• Achieve significant impact on product metrics: Develop solutions that improve various areas and boost user engagement, directly affecting key product metrics.
• Access product analytics: Gain a deeper understanding of user behavior and test your solutions based on real data and analytics.
• Work on a cool educational content product: Contribute to a project that helps people grow and acquire knowledge.
• Influence team processes: Improve team processes by bringing your own approach to working with AI-based projects.
• Propose your own ideas freely: Initiate and be creative in developing new AI initiatives that can enhance product efficiency and satisfy user needs.
• Thrive in an experimentation culture: Implement ideas through A/B testing, continuously improving the product by analyzing real results.
   

What you will do:

• Uncover new opportunities for the creation, implementation, and launch of AI-based initiatives that support Engagement, Growth, and other strategic company directions and goals.
• Develop and improve the existing ML-based recommendation system.
• Work on research and innovative projects.
   

What you need to join us:

• High proficiency in Python.
• Deep understanding of machine learning algorithms and their mathematical foundations.
• Experience with scientific Python tools (scikit-learn/pandas/numpy).
• Experience with ML frameworks (Tensorflow/Torch, transformers).
• Ability to conduct in-depth research, including reviewing academic literature and exploring open-source ML projects.
• Experience with Git, Docker, Linux.
• Alignment with our team's values (SELECT).
   

A plus if you have:

• Experience with recommendation systems.
• Experience in software engineering.
• Understanding of software architecture, ML system design principles, and the full development lifecycle.
• Experience with SQL/NoSQL (BigQuery, Firestore).
• Experience with LLMs (agents, RAG, OpenAI API, LangChain).
• Experience with embeddings and vector databases.
• Experience with cloud services (Google Cloud Platform).
• Understanding of CI/CD principles and experience with Terraform.
   

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Company doctor and massage in the office.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays: we go on a week-paid holiday to rest and recharge twice a year.
• Supporting initiatives that help Ukraine. Find out more about our projects here.
   

Working schedule

This is a full-time position with a hybrid remote option. It means that you can decide for yourself: whether you want to work from the office, remotely, or combine these options.

Are you interested?
Send your CV!

We are helping to find an AI Automation Engineer for our client (startup — A performance marketing and traffic arbitrage team focused on scaling marketing campaigns using AI automation)
 

Location: Remote Ukraine, Hybrid (Warsaw) | Full-time

Key Responsibilities
 

• Develop AI agents to automate tasks with browsers, Jira, Slack, and SaaS platforms.
• Automate campaign launch and management via advertising APIs (Google Ads, Meta).
• Integrate LLM models (GPT, Gemini, Llama) for instruction processing and task execution.
• Automate data processing for marketing analytics and predictive modeling.
• Optimize marketing workflows using AI and machine learning.
   

Key Technical Skills and Experience
 

• 3+ years in AI/ML, automation, or API integration.
• Strong Python (FastAPI, Flask, Pandas), SQL, API experience.
• Hands-on experience with LLMs (OpenAI API, Gemini, Llama), NLP, LangChain.
• Automation of browser workflows (Selenium, Playwright, Puppeteer, GPT Operator).
• Experience integrating advertising APIs (Google Ads, Facebook Ads).
• Marketing data analysis expertise.
• Experience with Docker, Kubernetes, CI/CD.
   

Preferred Qualifications
 

• Experience in traffic arbitrage or marketing agencies.
• RPA knowledge.
• AI-driven marketing strategy development.

About Us

We are a leading Israeli IT company with 15 years of market experience and 8 years in Ukraine. Officially registered in Ukraine, Israel, and Estonia, we employ over 100 professionals worldwide. Specializing in successful startup collaboration, we offer services across e-commerce, Fintech, logistics, and healthcare.

Requirements:

• 3+ years of experience in Machine Learning or Data Science roles
• Strong proficiency in Python and ML libraries
• Solid understanding of statistics, data preprocessing, and feature engineering
• Familiarity with cloud platforms (AWS, GCP, or Azure) and ML infrastructure tools
• Experience working with structured and unstructured data
• Knowledge of MLOps practices and tools is a big plus
• Upper-intermediate English level or higher

Responsibilities:

• Design, develop, and deploy ML models to solve real-world problems
• Collaborate with cross-functional teams to identify opportunities for machine learning solutions
• Work with large datasets to build scalable pipelines for training and inference
• Monitor model performance and retrain when necessary
• Implement best practices for reproducibility, model versioning, and automated workflows
• Contribute to research and prototyping of new algorithms and techniques
• Document your work and present results to both technical and non-technical stakeholders

Interview stages:

• HR interview;
• Pro-interview;
• Final interview;
• References;

• Offer.

   

Why Join Us?

🔹 Be part of a friendly international team, working together on interesting global projects;
🔹 Enjoy many chances to grow, learn from mentors, and work on projects that make a real difference;
🔹 Join a team that loves fresh ideas and supports creativity and new solutions;
🔹 Work closely with clients, building great communication skills and learning directly from their needs;
🔹 Thrive in a workplace that values your needs, offering flexibility and a good balance between work and life.

About Us

We are a leading Israeli IT company with 15 years of market experience and 8 years in Ukraine. Officially registered in Ukraine, Israel, and Estonia, we employ over 100 professionals worldwide. Specializing in successful startup collaboration, we offer services across e-commerce, Fintech, logistics, and healthcare.

Requirements:

• 3+ years of experience working with large language models or in related AI/NLP roles
• Deep understanding of how transformer-based models, behave and respond to different prompt structures
• Experience with prompt engineering techniques
• Ability to evaluate LLM output quality and design benchmarking strategies
• Basic Python skills for working with APIs and automating prompt testing
• Upper-intermediate English or higher

Responsibilities:

• Design and optimize prompts for various LLM-driven applications and workflows
• Test, evaluate, and iterate on prompts to improve performance and reduce hallucinations or errors
• Collaborate with AI/ML and product teams to translate business needs into effective prompt strategies
• Build prompt libraries and documentation for internal use
• Contribute to the development of prompt testing frameworks and evaluation pipelines
• Stay up to date with advancements in LLM capabilities, techniques, and tools

Interview stages:

• HR interview;
• Pro-interview;
• Home assignment;
• Final interview;
• References;
• Offer.

Why Join Us?

• Be part of a friendly international team, working together on interesting global projects;
• Enjoy many chances to grow, learn from mentors, and work on projects that make a real difference;
• Join a team that loves fresh ideas and supports creativity and new solutions;
• Work closely with clients, building great communication skills and learning directly from their needs;
• Thrive in a workplace that values your needs, offering flexibility and a good balance between work and life.

About the Project

Join a high-performing cross-functional product team composed of top-tier engineers. We’re building an enterprise-grade data platform designed to integrate, process, and analyze vast amounts of disparate data in real-time.

This platform leverages cutting-edge technologies: Big Data, cloud-native architecture, AI-driven insights, and advanced database tooling to deliver deep operational visibility and power faster, smarter business decisions. We ensure scalability, traceability, and compliance (GDPR, HIPAA) through robust data lineage and governance features.

You’ll work mainly on AI services, having tight collaboration with backend developers to ensure seamless API integration.

What You’ll Do

• Design and develop advanced AI components using LangChain, AutoGen, and other multi-agent orchestration frameworks
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using tools like Google AI Platform, Vertex AI and Pinecone.
• Engineer efficient prompts and fine-tune LLMs (e.g., GPT-4o, DeepSeek) for advanced data analytics capabilities
• Develop AI-related backend services using Python and FastAPI
• Deploy scalable solutions in Google Cloud Platform (GCP), working with services such as BigQuery, GKE, Cloud Storage, etc.

• Collaborate with backend and data engineering teams to integrate and expose AI functionality via well-structured APIs

   

Must-Have Skills

• 5+ years of experience in backend and AI system development
• Strong hands-on experience with LangChain, AutoGen, and multi-agent frameworks
• In-depth knowledge of LLMs, prompt engineering, NL2SQL, and RAG architectures
• Proficient in Python and FastAPI
• Proven experience with GCP services: Vertex AI, BigQuery, GKE, Cloud Storage
• Experience building production-grade RAG pipelines

• Excellent problem-solving and communication skills

   

Nice-to-Have

• Experience working with data engineering and DevOps tools
• Familiarity with data governance frameworks and compliance standards (GDPR, HIPAA)

• Exposure to real-time processing and scalable architecture patterns

   

Why Join Us

• Work with a world-class team on a cutting-edge AI and data platform
• High-impact role with room for innovation and growth
• Flexible schedule and remote-friendly setup
• Competitive compensation
• Collaborative, growth-oriented culture
• Engage in technically challenging, meaningful projects

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.
 

Locations: Poland, Croatia, Slovakia, Romania


Requirements

Required:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +4 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.

• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.
  
   

  Job responsibilities

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots
  
   

Project Description:

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.

Required:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +7 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.

• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.

   

Job Responsibilities:

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots

Company Background
PiñataFarms AI is a team that builds advanced AI products, allowing anyone to become creative by recontextualizing content to come together with others. Our products are used by millions. With a track record of major cultural and tech successes, we are using computer vision, mobile hardware, and consumer tech to create a generational phenomenon. Backed by top Silicon Valley VC's and influential strategic investors, we are at the forefront of innovation.

Role Description
We’re hiring a Backend & MLOps Engineer to own the Node.js backend and Python-based ML infrastructure that powers multiple consumer apps. You’ll operate across AWS Amplify/AppSync, Firebase, and on-prem GPUs, ensuring our services remain reliable, scalable, and cost-efficient. We are open to remote for this role and have teams in both the US and Europe.

What You’ll Be Doing:

• Develop, deploy, and maintain backend APIs on AWS Amplify & AppSync (GraphQL) or GCP (Firebase)
• Manage Docker-based Python CV/LLM inference pipelines, primarily on on-prem GPUs
• Prototype rapid fixes or features, then harden them into production-grade systems
• Collaborate with the product and the iOS team to deliver new endpoints and incremental features while meeting reliability and cost targets
• Streamline and automate routine tasks with scripts and modern AI tooling
• Maintain data pulls and pipelines – schedule and automate extracts from BigQuery, DynamoDB for analytics and reporting

What We’re Looking For:

• 5+ years in backend engineering, DevOps, or MLOps
• Strong proficiency in Python and solid Node.js/TypeScript skills
• Hands-on experience with core AWS services; comfortable with GCP/Firebase basics
• Demonstrated ability to learn quickly, prototype fast, and automate relentlessly – you default to scripting or AI-powered tools over manual work
• Solid SQL skills and familiarity with data-pipeline best practices
• Excellent written and verbal communication skills, plus a reliable on-call record

Bonus Points

• Operating GPU workloads on-prem and in AWS/GCP
• Prior use of LLM-based or AI-driven tooling to accelerate testing, data pulls, or infrastructure operations

We’re Hiring: Junior + / Middle LLM Engineer

We're Accellabs, a team of engineers and researchers who create products based on the latest AI technologies. Our focus is innovation in AI and the integration of LLM into real-world products.

Tasks:

• Developing solutions based on LLM and other generative AI, including building chatbots, agents or internal services.
• Building systems using supervised fine-tuning, retrieval augmented generation, inference optimisation techniques and technologies, agentic frameworks, vector databases.

What We’re Looking For:

• At least 1-2 years of experience in Python ML/AI/LLM Engineering or Python Backend (on AI projects);
• Familiarity with HuggingFace infrastructure and agentic AI frameworks;
• Understanding of the principles of neural networks, transformer architecture, LLM, AI agents.
• Experience with FastAPI/Flask for model deployment;
• Sufficient level of English (B2) (reading documentation + technical communication)

Additional Advantages:

• Experience in building Telegram bots or AI assistants;
• Knowledge of Docker, application deployment methods, and experience in writing tests;
• Experience with HuggingFace infrastructure and agentic AI frameworks;
• Understanding of CI/CD, MLOps, MCP concepts.

What We Offer:

• 100% remote — work from anywhere
• Participation in top AI projects that will go into production
• Opportunity to participate in shaping the architectural vision and technology selection
• Flexible working hours

Hiring Process:

1. Tech Screening (30 mins)
2. Offer Call (15 mins)

Do you want to develop AI systems that truly change the user experience?
📩 Apply now and let’s build something amazing together!

Ми приймаємо на роботу: Junior + / Middle LLM Engineer

Ми — Accellabs, команда інженерів та дослідників, що створюють продукти на основі новітніх технологій штучного інтелекту. Наш фокус — інновації у сфері AI та інтеграції LLM у реальні продукти.

Завдання:

• Розробка рішень на базі LLM та іншого generative AI зокрема побудова чат-ботів, агентів або внутрішніх сервісів
• Побудова систем із застосуванням методик supervised fine-tuning, retrieval augmented generation, inference optimization та технологій, agentic frameworks, vector databases

Вимоги:

• Досвід у Python ML/AI/LLM Engineering або Python Backend (на AI проектах) від 1–2 років
• Знайомство з інфраструктурою HuggingFace та фреймворками agentic AI
• Розуміння принципів роботи нейронних мереж, transformer architecture, LLM, AI-агентів
• Досвід з FastAPI / Flask для розгортання моделей
• Достатній рівень англійської (B2) (читання документації + тех. спілкування)

Додаткові плюси:

• Досвід створення Telegram-ботів або AI-асистентів
• Знання Docker, методів деплою застосунку та досвід у написанні тестів
• Досвід роботи з інфраструктурою HuggingFace та фреймворками agentic AI
• Розуміння концепцій CI/CD, MLOps, MCP

Ми пропонуємо:

• 100% віддалено - працюйте з будь-якого місця
• Участь у топових AI-проєктах, які підуть в продакшн
• Можливість брати участь у формуванні архітектурного бачення та вибору технологій
• Гнучкий графік роботи

Процес найму:

1. Технічний скринінг (30 хвилин)
2. Дзвінок з пропозицією (15 хвилин)

Хочеш розробляти AI-системи, які справді змінюють користувацький досвід?
📩 Подавай заявку зараз, і давай створимо щось дивовижне разом!

We’re looking for a Senior Deep Learning Engineer to join Anadea’s rapidly growing ML/DL team. You’ll be working on an innovative Scandinavian fintech project, where AI is central to product strategy. This role offers direct communication with the client and an opportunity to influence business decisions through cutting-edge ML/DL solutions.

This position is ideal for someone with a strong track record in delivering deep learning solutions, who enjoys technical challenges and is eager to shape products that make a real impact. You’ll contribute both technically and strategically—designing, building, and optimizing models, while also helping guide the AI roadmap.
 

What You’ll Do:

• Lead development of ML/DL solutions from research to production.
• Design and train models for NLP, CV, and GenAI use cases.
• Build and optimize AI pipelines, including RAG systems and LLM fine-tuning.
• Collaborate directly with stakeholders, aligning AI work with real business needs.
   

Must Have:

• Proven experience delivering AI solutions end-to-end.
• Strong expertise in Python and either PyTorch or TensorFlow.
• Solid understanding of machine learning and deep learning fundamentals.
• Hands-on experience with NLP and/or computer vision architectures.
• Excellent communication skills and the ability to present ideas to both technical and non-technical stakeholders.
   

Nice to Have:

• Experience with AI Agents, multimodal models, or RAG pipelines.
• Background in model optimization (quantization, distillation, pruning).
• Familiarity with MLOps, cloud services (AWS, Azure, GCP).
• Experience contributing to the community (open-source, conferences, publications).
• Leadership experience: mentoring, code reviews, technical ownership.
   

What We Offer:

• Fintech with purpose: Direct input into a Scandinavian financial product with real-world impact.
• Tech-First Environment: Work on LLMs, Vision Transformers, GenAI, and complex AI systems.
• Direct Stakeholder Collaboration: Shape business and product strategy with your ideas.
• Growth & Recognition: Support for speaking at conferences, writing publications, or showcasing your work.
• Best-in-Class Hardware: Access to A6000/RTX

Vidar Systems is an acoustic technology startup at the cutting edge of defense and security solutions. We employ retail hardware components to build military-grade systems that redefine acoustic weapon locating in terms of affordability, efficiency, and reliability. Our team is globally distributed, with primary activities and production based in the heart of Ukraine – Kyiv.

About the Role:
Become a core member of our lean, high-impact engineering team and help shape Ukraine’s defensive edge through data. In this role, you’ll be responsible for managing and transforming large volumes of acoustic and telemetry data to fuel machine learning models deployed in mission-critical systems. You will own the data workflows that directly support our next-generation AI-based battlefield sensing technologies.

What You’ll Do:

• Build and maintain robust pipelines for ingesting, transforming, and storing structured and unstructured acoustic data.
• Develop scalable solutions for data labeling, augmentation, validation, and monitoring.
• Collaborate closely with ML researchers to optimize dataset quality, feature representation, and data curation for deep learning.
• Manage datasets across different environments, ensuring consistency, versioning, and reproducibility.
• Create tooling and dashboards to visualize data quality and pipeline performance.
• Identify patterns and extract insights from data to enhance existing models or develop innovative features.

What You Need:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Applied Math, or related field.
• 2+ years of experience in data engineering roles, ideally within ML/AI-driven teams.
• Strong Python skills, with experience in building and managing ETL/ELT pipelines.
• Hands-on with tools like Airflow, Prefect, Luigi or similar orchestration frameworks.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data versioning and lineage tools (e.g. DVC, MLflow, Weights & Biases).
• Proficiency in data processing libraries: Pandas, NumPy, Dask.
• Strong communication and collaboration skills; ability to work independently in high-stakes contexts.
• Technical English (documentation, code comments, communication in distributed team).

Nice to Have:

• Experience working with audio or time-series data.
• Exposure to C/C++ or embedded systems environments.
• Background in acoustic signal processing or related domains.
• Familiarity with DevOps tools (Docker, Kubernetes, CI/CD) and cloud infrastructure (AWS/GCP).

Our Recruitment Process:

• Intro Call with Recruiter – 45 min
• Technical Interview with ML Lead and CTO – 90 min
• Test Task – 4–6 hours
• Final Interview – 60 min

Why Join Us?

• High Autonomy: You’ll be trusted to lead key systems and make your mark on our data stack.
• Meaningful Work: Your pipelines will feed models that support real soldiers on the front line.
• Innovation at the Edge: Help us redefine how machine learning operates in harsh, real-world acoustic environments.
• Flexible Format: We support hybrid/remote work with a bias toward impact over hours.