Jobs

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 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.

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

🌍 We're Hiring: AI Engineer with Mandatory Real Estate Experience (AVM / PropTech)

Movadex | Remote | Full-time

We’re a venture-backed startup revolutionizing the real estate landscape in the UAE with the power of AI. Our core product is an AI-powered Automated Valuation Model (AVM) designed specifically for the local market.

We're looking for an experienced AI Engineer with a solid background in real estate or proptech, especially in predictive modeling and AVM development.
👉 Applications without real estate-related experience will not be considered.

🔧 Your Role:

• Design, build, and optimize an AVM tailored to the UAE property market
• Develop predictive models focused on pricing, property valuation, and market dynamics
• Work closely with data and product teams to shape the AVM roadmap

• Apply advanced ML/AI methods using real estate data, satellite imagery, and transaction history

   

✅ What We’re Looking For:

• Mandatory: Hands-on experience with real estate data, AVMs, or proptech predictive modeling
• Strong applied ML/AI skills (we’re flexible on specific tools/languages)
• Ability to take initiative and own your part of the product
• Excellent communication in English (our team is fully international)

• Immediate availability, full-time commitment

   

💼 Why You’ll Love Working With Us:

• Build a high-impact, mission-critical product from day one
• Autonomy, ownership, and startup agility
• Long-term opportunity (12+ months)
• 100% remote — work from anywhere

Key Responsibilities

Cross-Functional Collaboration

• Partner with Product teams to implement model changes, performance optimizations, and feature enhancements based on business requirements
• Conduct model tuning sessions with Product stakeholders to align AI capabilities with user experience goals
• Engage with various stakeholders to gather specifications, define technical requirements, and establish project scope for AI/ML initiatives
• Facilitate requirement-setting sessions with business teams to translate functional needs into technical AI/ML solutions

Technical Development & Production

• Collaborate closely with Senior Data Scientists to transition experimental model prototypes into robust, production-ready systems
• Participate in code reviews and technical discussions to ensure models meet scalability, performance, and reliability standards
• Support the productionization process including model deployment, monitoring, and maintenance workflows

Core AI & Machine Learning Skills

AI Fundamentals

• Proficiency in basic prompt engineering techniques and best practices for optimizing AI model interactions
• Experience with Large Language Model (LLM) API integration and usage across various platforms
• Hands-on experience with model finetuning processes to adapt pre-trained models for specific use cases
• Knowledge of model distillation techniques to create efficient, lightweight models from larger architectures

Natural Language Processing

• Working knowledge of embedding models and their applications in text analysis
• Experience implementing semantic analysis solutions for content understanding and similarity matching
• Proficiency in batch processing workflows for large-scale NLP tasks and data pipeline management

Data Science & Analytics

Statistical Foundation

• Solid understanding of hypothesis testing methodologies and statistical significance evaluation
• Experience with regression analysis techniques for predictive modeling and trend analysis
• Knowledge of classification algorithms and their appropriate use cases
• Familiarity with decision tree models, including implementation and interpretation

Technical Skills

Programming Languages

• Must have: Proficiency in Python for data science, machine learning, and automation tasks
• Nice to have: Working knowledge of Ruby for web development and scripting applications

Infrastructure & Data Management

• Experience with Amazon Web Services (AWS) cloud platform and core services
• Basic database management skills including query optimization and data modeling
• Understanding of software engineering principles including version control, testing, and deployment practices

Experience Level

This role is suitable for candidates with 2-4 years of relevant experience or new graduates with strong academic background and demonstrated project experience in AI/ML applications.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
• Portfolio of projects demonstrating practical application of the above technologies
• Experience working in collaborative development environments
• Strong problem-solving skills and ability to learn new technologies quickly
• Excellent communication skills for cross-functional collaboration with technical and non-technical stakeholders

🚀 AI Engineer (Agents) — 3-Month MVP Project | Remote 

Contract | Independent Project | AI Agentic Workflows
 

We are hiring for a 3-month, high-impact MVP project with one of my innovative clients in the AI space. They're looking for an experienced AI Engineer to build and deploy advanced AI agent workflows using LangChain, LangFlow, and modern LLMs.

You’ll work closely with internal Data Engineers to design and launch scalable, production-ready solutions.

About the Client:
This project is for a global professional services company that delivers Swiss-quality solutions across Marketing, Recruitment, Technology, and Business Transformation. They combine operational excellence with the latest GenAI tools and a strong international delivery network.

What You’ll Work On:

• Architect agent workflows using LangChain/LangFlow
• Implement MCP and A2A systems for agent orchestration
• Select and optimize LLMs (GPT-4, Claude, Llama, etc.)
• Deploy agents via Docker/Kubernetes with performance monitoring

• Collaborate with data and software teams to bring the MVP to life

   

Who You Are:

• 3+ years in AI/ML engineering roles
• Proven hands-on experience with LangChain & LangFlow
• Skilled in LLM deployment, RAG pipelines, and containerization
• Strong communicator and independent contributor
• Technical-related degree 

🔧 Senior Data Engineer — 3-Month MVP Project | Remote 

Contract | Independent Project | Cutting-Edge AI Infrastructure

We are hiring for an exciting 3-month MVP project with one of my forward-thinking clients building AI-driven agent workflows. We’re looking for a Senior Data Engineer to architect high-performance data pipelines that power next-gen AI agents.

You’ll collaborate with AI/ML engineers to design robust data infrastructure supporting everything from model training to real-time inference.

What You’ll Work On:

• Design & maintain scalable data pipelines for AI agent workflows
• Build optimized data models using PostgreSQL and Snowflake
• Integrate data from APIs, databases, and real-time streams
• Implement data validation, monitoring, and automated workflows (Airflow, DBT)
• Support vector databases and RAG pipelines powering LLM performance

• Work closely with engineers to support containerized, production-ready AI systems

   

Who You Are:

• 5+ years as a Data Engineer with deep expertise in data pipelines & warehouse design
• Proficient with SQL, Python, Airflow, DBT, Docker, and cloud platforms (AWS, GCP, or Azure)
• Experienced in optimizing performance across large datasets and cloud-based environments

• Strong collaborator, proactive communicator, and problem-solver

   

About the Client:
This project supports a global professional services company known for Swiss-quality delivery in Marketing, Recruitment, Tech, and Business Transformation. They blend operational excellence with GenAI innovation, powered by a top-tier international network.

Key Responsibilities

Cross-Functional Collaboration

• Partner with Product teams to implement model changes, performance optimizations, and feature enhancements based on business requirements
• Conduct model tuning sessions with Product stakeholders to align AI capabilities with user experience goals
• Engage with various stakeholders to gather specifications, define technical requirements, and establish project scope for AI/ML initiatives
• Facilitate requirement-setting sessions with business teams to translate functional needs into technical AI/ML solutions
   

Technical Development & Production

• Collaborate closely with Senior Data Scientists to transition experimental model prototypes into robust, production-ready systems
• Participate in code reviews and technical discussions to ensure models meet scalability, performance, and reliability standards
• Support the productionization process including model deployment, monitoring, and maintenance workflows
   

Core AI & Machine Learning Skills

AI Fundamentals

• Proficiency in basic prompt engineering techniques and best practices for optimizing AI model interactions
• Experience with Large Language Model (LLM) API integration and usage across various platforms
• Hands-on experience with model finetuning processes to adapt pre-trained models for specific use cases
• Knowledge of model distillation techniques to create efficient, lightweight models from larger architectures
   

Natural Language Processing

• Working knowledge of embedding models and their applications in text analysis
• Experience implementing semantic analysis solutions for content understanding and similarity matching
• Proficiency in batch processing workflows for large-scale NLP tasks and data pipeline management
   

Data Science & Analytics

Statistical Foundation

• Solid understanding of hypothesis testing methodologies and statistical significance evaluation
• Experience with regression analysis techniques for predictive modeling and trend analysis
• Knowledge of classification algorithms and their appropriate use cases
• Familiarity with decision tree models, including implementation and interpretation
   

Technical Skills

Programming Languages

• Must have: Proficiency in Python for data science, machine learning, and automation tasks
• Nice to have: Working knowledge of Ruby for web development and scripting applications
   

Infrastructure & Data Management

• Experience with Amazon Web Services (AWS) cloud platform and core services
• Basic database management skills including query optimization and data modeling
• Understanding of software engineering principles including version control, testing, and deployment practices
   

Experience Level

This role is suitable for candidates with 2-4 years of relevant experience or new graduates with strong academic background and demonstrated project experience in AI/ML applications.
 

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
• Portfolio of projects demonstrating practical application of the above technologies
• Experience working in collaborative development environments
• Strong problem-solving skills and ability to learn new technologies quickly
• Excellent communication skills for cross-functional collaboration with technical and non-technical stakeholders

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.

A centre of excellence (COE) is a team of senior tech experts who conduct research on the strategic tech trends, maintain top quality standards, foster professional development, and can provide you with expert consulting throughout the whole development process.

The CoE helps our clients to perform a Product Discovery Phase, build a prototype, and validate a product concept. The experts provide a client with a High-Level Architecture plan, the suggested technology stack, the product design, time and cost estimates, consulting, and a Work Breakdown Structure.

Now, we are looking for a skilled AI/ML specialist, preferably with some data science experience, who will contribute to establishing and continuously improving the AI/ML expertise in the CoE department and the company overall. The role is ideal for a professional capable of effectively researching, proposing, and implementing ML/AI solutions and strategies corresponding to clients’ needs.

Requirements

Must have

• 4+ years of experience as an ML engineer, AI specialist or a similar role
• Hands-on experience with AI technologies, including generative AI, computer vision, LLMs and/or others
• Proficiency in ML frameworks (Tensorflow, scikit or alternatives)
• Familiarity with deploying AI/ML models to cloud providers such as AWS or Google
• Knowledge of data visualisation tools
• Strong programming skills in Python
• Would be a plus: experience in web development
• Would be a plus: background in data science, data analytics or data engineering
• Would be a plus: education in a relevant field (mathematics, computer science, statistics, software engineering, etc.)
• Strong communication and presentation skills
• Upper-Intermediate spoken and written English
• Business-oriented mindset and ability to understand real goals of the client
• Ability to document solutions and share the knowledge effectively
• Would be a plus: Skills in team leadership or mentorship
• Would be a plus: Public speaking experience

Responsibilities:

• Train predictive models based on existing/historical data
• Post-train or fine-tune existing models (e.g. from HuggingFace) to achieve the requested functionality
• Build a prototype of an AI-driven analytics tool during the discovery phase
• Validate client’s idea and provide feedback on its possibility of implementation during pre-sales activities
• Prepare an estimation (time and cost) of the implementation of a particular project or feature
• Join and investigate an ongoing project with a purpose such as: consulting, development or super-vising a particular process.

Work Schedule

Full-time working day in our Lviv or Kyiv office (flexible hours) or full-time remote

Interview Stages

1. Call with Recruiter
2. Technical interview with Recruiter and Head of CoE

Our Benefits

Work from anywhere (fully remotely or in our offices in Lviv, Kyiv or Krakow)

Paid vacations and sick leaves, additional days off, relocation bonus

Education: regular tech talks, educational courses, paid certifications, English classes

About the Project

Join a high-performing UK-based product and cross-functional product team composed of top-tier engineers(PhD holders). 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

About Busy RebelAt Busy Rebel, we aim to redefine the technology and innovation landscape, creating a distinctive ecosystem of exceptional talents while fostering ownership, inclusion, and diversity. We aim to catalyze societal and technological evolution by empowering tech entrepreneurs to challenge norms and spearhead change.

Busy Rebel aims to forge unparalleled partnerships, driving global impact through creative rebellion. We commit to being the trusted ally that amplifies visions with expert insight and inventive strategies, fostering a community of disruptive thinkers for technological empowerment and societal betterment. Every partnership and project is a step toward a more interconnected and enlightened world.

Be part of a company where every day is an opportunity to learn, challenge, and transcend the ordinary. Your journey with Busy Rebel is not just a career; it’s a pivotal chapter in the larger story of technological revolution and societal evolution. Join us, and let’s build the future together.
 

🔎We are looking for a skilled AI Developer to join a proof-of-concept project focused on building an AI-powered assistant for business analytics. The solution will connect directly to client APIs or databases, build semantic data models, and deliver contextual insights through a chat interface. You'll be joining at an early stage, working alongside a PM and designer, with opportunities to shape the product architecture and influence technical decisions.

🌏Client: Сanada.
⏳Engagement: Full-time, ~1 month (with a possibility of extension)
🌏 Location: Remote (with availability for meetings between 16:00–18:00 CET)

English Level: Upper-Intermediate (B2)+

⭐Team: You will work in a small, agile team directly with the Lead Engineer.

🚀Responsibilities: 

• Design and implement AI-driven features, focusing on semantic data understanding and LLM integration;
• Integrate various APIs and data sources into a unified backend system;
• Develop data pipelines for aggregation and transformation;
• Work with large language models to enable contextual Q&A functionality;
• Collaborate with the team to define system architecture and product direction;
• Ensure secure, scalable, and high-performance implementation;
• Participate in daily stand-ups and weekly demo sessions with the client.
   

 📋  Requirements:

• 2+ years of experience in backend or full-stack development;
• Proficiency in TypeScript, React.js, and Node.js;
• Strong experience with relational databases (MySQL, PostgreSQL);
• Solid understanding of RESTful APIs and secure API integrations;
• Experience with Redis and modern cloud infrastructure (AWS or GCP);
• Proven experience using LLMs (usage, fine-tuning, monitoring);
• Practical knowledge of Langchain and LangGraph;
• Experience with semantic search, embedding models, and vector databases;
• English proficiency at Upper-Intermediate level or higher;

• Strong delivery mindset and ability to work independently in a fast-paced environment.

   

  ✅ Nice to Have:

• Experience building or integrating ITL pipelines;
• Familiarity with GraphQL;
• Previous experience in proof-of-concept or early-stage product environments;
• Ability to collaborate directly with technical stakeholders;

• Product-oriented mindset and proactive communication style.

   

  👥 Team & Process:

• From our side: PM and Product Designer;

• Daily stand-ups and 1–2 demos per week with the client.

   

  🟠 Interview process:

• Introductory call;
• Technical interview with our engineers.

Samsung R&D Institute Ukraine (SRUKR) is looking for ML / Computer Vision engineer who wants to apply theoretical knowledge and practical skills to participate in solving Human-Robot Interaction challenges in rapidly evolving Vision AI domain. The position will involve different aspects of R&D including — research, analysis, prototyping, development and commercialization support of the innovative technologies. Resulting solutions are targeted on Samsung products and services reaching millions of users worldwide.
 

Required skills / expertise:
 

• Bachelor’s (or higher) degree in computer science, math, statistics, or related field
• 3+ years of experience in conventional and ML/DL based image processing and computer vision
• Practical experience in custom NN-architecture development, training and evaluation
• Strong theoretical knowledge and practical skills in computer vision algorithms (OpenCV)
• Solid Python programming skills (numpy, pandas, matplotlib)
• Knowledge in linear algebra, probability, optimization, and 3D geometry
• Proficiency in math, algorithms and data structures
• Experience with object-oriented design and development
• Basic C++ knowledge
• Understanding research methodologies and S/W development lifecycle
   

Would be a plus:
 

• Pet projects portfolio that includes — object detection/recognition/tracking, key-points detection and tracking, semantic/instance segmentation, etc.
• Experience with vision transformer, vision encoder-decoder architectures
• Experience with model optimizations for on-device inference (ONNX-runtime, TFLite, SNPE)
• Experience in embedded systems development (Android/Linux)
• Experience with CPU/GPU profiling tools
• Cross-cultural experience and working English to feel confident in the international team
• Participation in CV/ML/DL-intensive research (papers, competitions, patents, etc...)
   

Key Responsibilities:
 

• R&D activities in CV based Human Understanding domain (person/face detection, recognition and tracking, 2D/3D skeleton detection, activity and gesture recognition, etc).
• Design NN-based solutions and train required ML/DL models
• Optimize algorithms & ML/DL models / their inference and size
• Transfer models and solutions to the edge devices using appropriate frameworks (ONNX, TFLite, SNPE, etc)
• Participate in design process of system architecture
• Collaborate with other R&D engineers worldwide to improve product quality with the latest industry trends in relevant technologies
• Maintain and support existing solutions and services
• Develop demo applications for various platforms
• Opportunity to participate in publication and patent activities
   

Working Conditions:
 

• GIG contract
• remote work is possible as well as work in Kyiv office
   

Benefits:
 

• competitive salary, annual salary review, annual bonuses
• paid 28 work days of annual vacations and sick leaves
• opportunity to become an inventor of international patents with paid bonuses
• medical & life insurance for employees and their childrens
• paid lunches
• discounts to Samsung products, services
• regular education and self-development on internal courses and seminars
• hybrid work format, working in office is required for some tasks

What We Offer:
 

• Competitive base salary.
• Performance-based bonuses for organic traffic and sales.
• Engaging and challenging work in a startup environment.
• Remote work or a comfortable office near a metro station in Kyiv.
• 24 working days of vacation and 10 paid sick leave days per year.
  
  We are looking for a Junior AI Automation Developer to build custom workflows for sales, HubSpot, marketing, research, analytics, web data scraping, and internal process automation. You'll be implementing clear tasks in tools like n8n and Make, working closely with the team that defines the logic.
   

Responsibilities:

• Develop and maintain automation workflows in n8n, Make, and similar platforms.
• Build integrations between CRM (HubSpot), marketing tools, research data sources, and internal systems.
• Implement web data scraping and data structuring solutions.
• Collaborate with the team to transform business needs into automated processes.
• Monitor and troubleshoot existing workflows to ensure stability and performance.
• Document workflows and processes for internal use.

Requirements:

• 6+ months of experience with no-code/low-code automation tools (n8n, Make, Zapier or similar).
• Understanding of APIs, webhooks, and data flows between systems.
• Strong interest in AI-powered automation, data structuring, and workflow optimisation.
• Experience with web scraping (any tools or languages — e.g. Python, Puppeteer, Playwright — will be a plus).
• Basic understanding of CRM systems (preferably HubSpot) is a plus.
• Analytical mindset and attention to detail.
• English — Intermediate level or higher (for reading documentation and communication inside the team).
• Willingness to work full-time.