Busy Rebel

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

We’re building a next-generation telehealth platform that connects patients, providers, and businesses through seamless digital experiences. Our solution combines B2B & B2C modules, a patient portal, and integrations with Telescope (intake forms & onboarding) and OpenLoop (clinical & compliance infrastructure), along with real-time video/audio consultations.

We’re looking for a Full-Stack Ruby on Rails Developer to join our team and help bring this vision to life.

🔧 Responsibilities

• Develop and maintain backend services and APIs using Ruby on Rails.
• Build intuitive and secure patient & provider portals (React/Next.js or similar frontend framework).
• Implement real-time communication (WebRTC/Twilio/Agora) for video/audio calls.
• Integrate third-party APIs including Telescope and OpenLoop.
• Design and manage secure data flows with HIPAA/GDPR compliance in mind.
• Collaborate with product, design, and clinical teams to deliver scalable features.
• Write clean, testable, and well-documented code.

✅ Requirements

• 4+ years of full-stack development experience.
• Strong expertise in Ruby on Rails (APIs, ActiveRecord, background jobs).
• Frontend experience with React.js / Next.js (or other modern JS frameworks).
• Experience with API design & integration (REST/GraphQL).
• Solid knowledge of databases (PostgreSQL/MySQL/NoSQL).
• Proven experience with real-time video/audio chat (WebRTC, Twilio, Agora, or similar).
• Understanding of authentication & authorization (OAuth2, JWT, RBAC, Devise, Pundit).
• Experience in secure systems development (HIPAA/GDPR compliance is a plus).
• Familiarity with cloud deployment (AWS, GCP, or Azure).

🌟 Nice to Have

• Prior experience in healthtech / telehealth platforms.
• Knowledge of FHIR/HL7 standards.
• Experience with OpenLoop or Telescope integrations.
• DevOps skills (CI/CD pipelines, Docker, Kubernetes).

💡 What We Offer

• Opportunity to work on a high-impact telehealth solution used by patients and providers.
• Collaborative, innovation-driven environment.
• Remote-friendly with flexible working hours.
• Competitive compensation (contract or long-term engagement).

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 diverse data in real-time.

We build next generation, Data & Cloud agnostic Process Intelligence solution that leverages process mining, knowledge graph, agentic eco-system & canvas to optimise enterprise process and proactivelly suggest and simulate improvements deploying agents into the customer system. 

What You’ll Do

• Design and develop advanced AI components using LangChain, Langraph,  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.
 

How we work:

• You will be part of a cross functional team (1-3 FE engineers, 1-3 BE engineers, manual and auto QA, Scrum master, solution architect, Business analyst and Product owner) that interacts with other teams and project coordinators like product managers and designers.
• You will participate in 2 week sprints to produce product increments.

• You will participate in our SAFe agile rituals to showcase the work (daily scrum meetings, review & planning meetings, grooming sessions, retro meetings), ask questions and help improve the process.

   

What you will be doing:

• Developing new user-facing features on a first class medical imaging application
• Writing clean and reusable code
• Developing features to enhance the user experience
• Building reusable code and libraries for future use
• Ensuring the technical feasibility of UI/UX designs

• Creating UI based on various APIs (backend, libraries), code modularization according to clients configurations, developing abstractions that hide complex business rules and how data is connected

   

About you:

• Minimum of 4+ years of relevant experience
• Proficient in Angular 2+
• Good knowledge of JavaScript, CSS, HTML, Typescript
• Proficient in general OOP and functional programming patterns
• Experience with responsive and adaptive design

• Fluent in both spoken and written English

   

Nice to have:

• Experience with Nx, Webpack 5 & module federation
• Experience in the backend side of development
• Experience with CI/CD pipeline execution process

• International work experience

   

We offer:

• Competitive compensation based on experience and skills.
• Flexible working hours and remote work environment.
• Opportunities for professional growth and development.
• Collaborative and innovative team culture.
• Participation in exciting and challenging projects.

About the Role

We are looking for a Machine Learning Engineer with a strong foundation in classical ML techniques to design, develop, and deploy models that power decision-making and automation. This role focuses on structured/tabular data, time series, and predictive modeling using established libraries and approaches (e.g., scikit-learn, AutoML frameworks), rather than deep learning or LLMs.

What You’ll Do

• Design, build, and optimize supervised and unsupervised ML models (classification, regression, clustering, anomaly detection, recommendation, etc.).
• Work with tabular, structured, and time-series data across different business domains.
• Apply feature engineering, data preprocessing, and dimensionality reduction techniques to improve model quality.
• Experiment with AutoML frameworks (e.g., H2O, Auto-sklearn, TPOT) to streamline experimentation and benchmarking.
• Evaluate models with robust metrics (AUC, RMSE, precision/recall, F1, etc.) and ensure they generalize well.
• Collaborate with data engineers to design efficient data pipelines for training and inference.
• Deploy models into production environments (batch and real-time) and monitor performance drift.
• Document methodologies and communicate findings to both technical and non-technical stakeholders.

What We’re Looking For

• Strong programming skills in Python (scikit-learn, pandas, NumPy, matplotlib/seaborn for analysis/visualization).
• Solid understanding of statistics, probability, and optimization as applied to machine learning.
• Experience with model selection, cross-validation, and hyperparameter tuning.
• Familiarity with AutoML tools (e.g., H2O, Auto-sklearn, MLflow AutoML, or similar).
• Good knowledge of SQL and working with structured data sources.
• Experience deploying ML models (using Flask/FastAPI, MLflow, or cloud ML services).
• Strong problem-solving skills and ability to translate business problems into ML solutions.
• Bonus: exposure to time-series forecasting (ARIMA, Prophet, Gradient Boosting, etc.), ensemble methods (XGBoost, LightGBM, CatBoost).

Why Join Us?

You’ll work on impactful projects where classic ML delivers measurable value—from forecasting and optimization to anomaly detection and risk scoring. Unlike roles focused on generative AI, here you’ll focus on data-driven predictive modeling, experimentation, and building scalable, interpretable solutions.