ComeBack Mobility

We are building a platform that helps hospitals safely use AI to analyze medical images X-rays, CT, and MRI scans. Our mission: help doctors detect diseases faster and more accurately by making AI reliable and trustworthy.

We’re creating a small, high-impact engineering team where every engineer owns their work from idea to production and leverages AI tools to accelerate development. This is your chance to shape how AI and engineering work together from day one.

What You’ll Be Doing

• Develop and maintain backend services using PHP and Symfony
• Build and improve frontend features using React and TypeScript
• Design and implement RESTful APIs
• Collaborate with engineers, product managers, and designers to deliver new features
• Ensure code quality through testing, code reviews, and engineering best practices
• Participate in technical discussions and contribute to architectural decisions
• Work with Docker-based development and deployment environments
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What We’re Looking For

• Strong experience with PHP and Symfony/Laravel
• Good knowledge of React and TypeScript
• Experience building and maintaining web applications in production
• Solid understanding of REST APIs and backend architecture
• Experience working with relational databases such as MySQL
• Familiarity with Docker and containerized environments
• Good understanding of Git workflows and collaboration practices
• Strong knowledge of OOP principles and software design patterns

Nice to Have

• Familiarity with CI/CD pipelines
• Experience working on scalable or high-load applications
• Understanding of testing practices such as PHPUnit or TDD

About the Role

We are looking for Full-stack engineer to design and develop AI-powered systems built on top of large language models. The main focus is on building intelligent agents, orchestrating multi-step model workflows, and integrating LLM capabilities into real-world products and business processes.

Full-time, remote

What You’ll Be Doing

• Build backend services using Node.js and TypeScript to support AI-driven features and workflows
• Contribute to frontend development (Vue 3) for AI product interfaces and full-stack features when needed
• Design and implement AI agents with tool usage, memory, and context management
• Integrate LLMs with external APIs, services, and enterprise systems
• Improve model output quality through evaluation, testing, and observability practices
• Contribute to system architecture decisions and evolution of AI infrastructure

• Stay current with advancements in LLMs and apply new approaches to production systems

   

What We’re Looking For

• Strong production experience with Node.js and Vue.js
• Solid understanding of backend architecture and system design principles
• Experience working with MongoDB or other NoSQL databases
• Hands-on experience building AI agents (tool use, memory, context handling)
• Strong knowledge of LangChain and/or LangGraph (JS/TS)
• Experience implementing RAG pipelines and vector search systems
• Understanding of agentic patterns (planning, retrieval, self-correction)

• Familiarity with LLM evaluation and testing methodologies

   

Nice to Have

• Experience with event-driven architectures (Kafka, NATS)
• Experience with AWS (Lambda, S3, ECS, Bedrock, etc.)
• Knowledge of Docker and Kubernetes
• Experience with microservices architecture
• Familiarity with MCP (Model Context Protocol)
• Python experience in AI/ML contexts

About the Role

We are looking for a Senior Data Engineer with strong Scala expertise to join a long-term project focused on building scalable, high-load data processing systems. You will work on complex distributed architectures, contribute to system design decisions, and help develop reliable data-heavy solutions in a modern engineering environment.

Requirements

• Strong commercial experience with Scala in production environments
• Proven experience as a Senior Data Engineer or Backend Engineer working with data-intensive systems
• Strong understanding of distributed systems and parallel data processing
• Hands-on experience with big data technologies such as Spark, Kafka, etc.
• Strong knowledge of the JVM ecosystem and performance optimization
• Experience building scalable, high-load systems
• Strong system design and architectural skills
• Ability to work independently and take ownership of solutions
• Strong problem-solving skills in complex distributed environments
• English level: B2+ (C1 preferred)
• Availability to work within EU time zones

Nice to Have

• Experience with cloud platforms (AWS, GCP, Azure)
• Experience with CI/CD pipelines and containerization
• Background in microservices architecture

Project Details

• Duration: 6+ months
• remote
• long-term possible

We are looking for a data-driven professional with strong analytical thinking and hands-on experience working with modern reporting ecosystems. 

In this role, you will help transform complex business and product data into scalable reporting solutions and actionable insights for stakeholders.

You will work closely with business and technical teams to improve reporting capabilities, optimize data structures, and support decision-making through dashboards and analytical models in a cloud-based environment.

This position is best suited for someone who enjoys working with data architecture from a reporting perspective, understands business logic behind KPIs, and feels comfortable navigating evolving requirements in Agile teams.

What You’ll Be Working On

• Building and enhancing analytical dashboards and reporting solutions
• Collaborating with stakeholders to understand reporting requirements and business logic
• Analyzing existing database structures and identifying opportunities for optimization
• Designing and improving aggregation and reporting layers
• Creating and maintaining SQL scripts for data preparation and reporting processes
• Supporting data consistency and validating reporting outputs
• Participating in Agile ceremonies, daily communication, and backlog discussions
• Working in collaboration with engineering teams responsible for data platform evolution and integrations

• Helping assess technical feasibility and limitations of BI solutions

   

Required Skills & Experience

• Strong commercial experience in Data Analytics, BI, Reporting, or related domains
• Advanced SQL skills with hands-on experience writing optimized and complex queries
• Solid understanding of relational databases and reporting-oriented data modeling
• Experience working with large-scale datasets and analytical environments
• Ability to structure data according to business reporting needs
• Experience with modern BI platforms such as AWS QuickSight, Tableau, Power BI, or similar
• Strong experience with PostgreSQL or similar relational databases

Communication & Collaboration

• Strong communication skills in English
• Ability to work directly with stakeholders and translate business needs into analytical solutions
• Comfortable working in dynamic Agile environments with changing priorities

Nice to Have

• Exposure to AI-driven analytics or modern data products
• Understanding of machine learning or advanced analytics concepts
• Experience with enterprise architecture or data governance tools