Globaldev Group

Backend Engineer

• Architect & Build: Design and deliver agentic workflows and scalable microservices, primarily using Python, within a distributed system architecture.
• AI Integration: Lead the integration of Generative AI capabilities, including LLM APIs, RAG pipelines, and agentic workflows into our production systems.
• Agentic Operations & Observability: Implement operational practices, observability, and autonomous monitors (e.g., detecting intelligence drift or hallucinations) to ensure AI reliability in production.
• Elevate Engineering: Drive overall engineering quality and speed by implementing AI-SDLC practices, ensuring high standards through rigorous code reviews, test automation, and by establishing continuous, trace-based quality evaluation for all software and agentic components.
• Mentor & Innovate: Evaluate emerging AI tooling, mentor fellow engineers, and contribute directly to our technical roadmap and Agentic AI-SDLC and Production Operations.

Software Engineer – Full-Stack, Backend, Applied AI

AI Engineer

• Design and own end-to-end AI solution architectures, covering data pipelines, AI services, integrations, and infrastructure requirements.
• Define camera setups, imaging requirements, and hardware specifications for computer vision use cases.
• Coordinate installations and integrations with internal teams.
• Collaborate with Digital, IT Infrastructure, Software Engineering, and Master Data teams to ensure scalable and maintainable solutions.
• Develop and deploy AI models on edge devices where low latency or offline processing is required.
• Create and optimize conversational AI for natural language interactions and improved user experiences.
• Continuously explore and incorporate emerging AI/ML technologies to enhance the efficiency and scalability of solutions.
• Monitor model performance and conduct regular evaluations to maintain accuracy and reliability.
• Contribute to bi-weekly brainstorming and team innovation sessions to propose new ideas and solutions.

AI/ML Engineer

Data Engineer

• Design and implement streaming and batch data pipelines for data integration, ingestion, data quality management (quality gating), transformations, and auditing.
• Perform feature engineering and data exploration.
• Collaborate with business and operations teams to align on requirements, and to request and standardize waveform/sensor data.
• Build and maintain the Gold data layer, key KPIs, and PoC evaluation frameworks.
• Set up and maintain solid engineering practices, including CI/CD pipelines, Infrastructure as Code (IaC), version control (Git), unit and integration testing, and proper documentation.

Senior Data Engineer

Recruitment

• Searching for passive candidates using various sources, including LinkedIn, Google search, ATS, and other tools;
• Stay up-to-date with industry trends and best practices for lead generation;
• Perform active search for specified vacancies;
• Work with various sources, choose the optimal tools and platforms to search for candidates;
• Perform initial communication and building trust with candidates;
• Evaluate candidates’ СVs;
• Work in close collaboration within the Recruitment Team;
• Work with the ATS (correct and timely filing, updating data, extension etc.);
• Market research and analysis (of salaries, technologies, main competitors etc.), prepare various reports.

Junior Talent Sourcer

Full-stack Engineer

• Design, develop, and maintain full stack applications using Node.js, React, and JavaScript.
• Build and scale a new product focused on Container Risk Analysis.
• Actively leverage AI tools to accelerate development, improve code quality, and optimize workflows.
• Develop and integrate APIs and backend services to support frontend functionality.
• Work with AWS services to design and maintain scalable cloud infrastructure.
• Ensure application performance, security, and reliability, particularly in containerized environments.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Continuously improve development processes and adopt modern best practices, including AI-driven development

Senior Full Stack Developer

QA Engineer

• Develop comprehensive test cases and test scenarios based on business, functional, and technical requirements
• Perform thorough functional, integration, and exploratory testing
• Create detailed and clear bug reports with step-by-step reproduction steps
• Participate in test planning, design, and review processes
• Conduct user acceptance testing (UAT)
• Collaborate closely with development teams to identify and resolve software defects

Business Development Rep

• Identify, build, and manage relationships with advertisers, agencies, brands, publishers, and programmatic partners.
• Generate new business opportunities and drive revenue growth.
• Manage the full sales cycle, from prospecting and lead generation through negotiation and closing.
• Develop strategic partnerships within the Polish digital advertising ecosystem.
• Represent Start.io at industry events, conferences, and networking opportunities.
• Collaborate with global teams across Europe and the US to support business objectives.
• Monitor market trends, competitor activity, and emerging opportunities.

Sales Manager – Business Development Manager

Frontend Engineer

• In this role, you will become an integral part of the BI Team, enabling advanced analytics, automating workflows, and increasing productivity by partnering with cross-organizational functions.
• Advanced Power BI Development: Design, build, and maintain high-end interactive dashboards and complex data models within Power BI. Implement robust row-level security (RLS), role definitions, and permission management structures.
• Back-End Development Support: Partner closely with our Back-end developer to actively develop, optimize, and support database processes, ensuring a seamless data pipeline flow from source systems to the front-end layers.
• Drive AI Roadmap: Research and design the future integration of AI and LLM agents into our BI ecosystem, preparing our Power BI and database layers for smart automation and natural language querying.
• Stakeholder Collaboration: Partner directly with global business stakeholders to translate complex strategic requirements into intuitive, reliable, and highly scalable analytical tools.