Yual

Responsibilities:

• Design, develop, and maintain interactive dashboards and reports using Power BI.
• Work with business stakeholders to understand reporting needs, define KPIs, and translate business questions into data-driven insights.
• Build and optimize data models, datasets, and reporting layers to support scalable analytics.
• Analyze structured and semi-structured data to identify trends, patterns, risks, and opportunities.
• Develop data-driven solutions, including statistical analysis, forecasting, segmentation, and predictive models where applicable.
• Prepare, clean, transform, and validate data from multiple sources.
• Collaborate with data engineers, backend developers, product teams, and business users to ensure data quality and consistency.
• Automate recurring reporting and analytical workflows where possible.
• Leverage AI-assisted tools to accelerate analysis, improve productivity, and streamline repetitive data tasks.

Requirements:

• 4+ years of experience in data analytics, business intelligence, or data science roles.
• Strong hands-on experience with Power BI, including dashboard development, data modeling, and report optimization.
• Solid knowledge of SQL and experience working with relational databases.
• Experience with data preparation, transformation, and validation.
• Strong understanding of DAX and Power Query.
• Experience defining and tracking business KPIs and analytical metrics.
• Practical experience with Python or R for data analysis, automation, or modeling.
• Understanding of statistical analysis, forecasting, or basic machine learning concepts.
• Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
• Experience working with large datasets and identifying data quality issues.
• Practical hands-on experience with AI-assisted tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or equivalent tools for analytics, coding, documentation, and workflow optimization.

Nice to have:

• Experience with Azure data services, AWS, or other cloud platforms.
• Experience with Microsoft Fabric, Azure Synapse, Databricks, or similar data platforms.
• Experience building predictive models or ML-powered analytics solutions.
• Knowledge of ETL/ELT processes and data warehouse concepts.
• Experience with advanced Power BI performance tuning.
• Familiarity with data governance, access management, and row-level security.
• Experience working in product analytics, finance analytics, marketing analytics, or operational reporting.

Note:

The role description is intentionally high-level at this stage, as some project details are confidential. We will be happy to share more context during the interview process.

Responsibilities:

• Develop and maintain scalable backend services and APIs using Python.
• Build and support backend functionality for AI/ML-enabled products, including integrations with ML models, AI services, and data-driven workflows.
• Design and implement reliable data processing, ingestion, and asynchronous backend flows.
• Work with cloud services and containerized environments to support scalable application delivery.
• Collaborate with cross-functional teams, including front-end developers, DevOps, product, and AI/ML specialists.
• Write clean, maintainable, and testable code following engineering best practices.
• Improve application performance, reliability, monitoring, and fault tolerance.
• Leverage AI-assisted development tools to accelerate delivery, improve code quality, and streamline repetitive engineering tasks.

Requirements:

• 4+ years of professional software engineering experience.
• Strong proficiency in Python and backend development.
• Experience designing and building APIs and backend services.
• Practical experience with AI/ML-related products, such as integrating AI services, ML models, data pipelines, or AI-driven features.
• Experience with relational and/or non-relational databases.
• Understanding of distributed systems, asynchronous processing, queues, or event-driven architecture.
• Hands-on experience with cloud services, preferably AWS.
• Practical hands-on experience with AI prompt engineering, leveraging Claude Code, Cursor, GitHub Copilot, or equivalent developer-AI tools.
• Solid understanding of LLM context design, tool integration, and code-generation workflows.

Nice to have:

• Experience with AWS services such as S3, API Gateway, Lambda, or SQS.
• Experience with Kubernetes in production environments.
• Experience designing data ingestion, replication, or ETL-style pipelines.
• Background in high-throughput backend services or large-scale data processing.
• Experience working closely with ML engineers or data teams.

Note:

The role description is intentionally high-level at this stage, as some project details are confidential. We will be happy to share more context during the interview process.

Responsibilities:

• Develop and maintain scalable and efficient mobile applications using React Native.
• Work closely with back-end developers to integrate APIs and business logic into mobile apps.
• Design and implement smooth, performant UI components and navigation flows.
• Optimize applications for maximum performance across iOS and Android platforms.
• Collaborate with cross-functional teams to define and implement new features.
• Write clean, maintainable, and testable code following industry best practices.

Requirements:

• 5+ years of experience in full-stack or mobile web development.
• Strong proficiency in React Native for cross-platform mobile development.
• Understanding of mobile performance optimization, memory management, and render cycles.
• Familiarity with version control systems (Git).
• Experience working with relational and non-relational databases (e.g., MySQL, MongoDB).
• Practical hands-on experience with AI prompt engineering, leveraging Claude Code, Cursor, GitHub Copilot, or equivalent developer-AI tools.
• Solid understanding of LLM context design, tool integration, and code-generation workflows.
• Ability to effectively decompose complex mobile features into AI-assisted development tasks, accelerating delivery without sacrificing code quality.
• Familiarity with prompt chaining, retrieval-augmented generation (RAG), and agent-based workflows as applied to real product features.
• Comfort working in a hybrid development model where AI tools handle boilerplate and scaffolding, while the developer focuses on architecture, review, and edge cases.

Nice to have:

• Experience with back-end development using Node.js.
• Knowledge of APIs and microservices architecture.

Responsibilities:

• Develop and maintain scalable and efficient web applications.

• Work closely with front-end developers to integrate APIs and back-end logic.

• Design, implement, and maintain databases, ensuring their stability and scalability.

• Optimize applications for maximum speed and scalability.

• Collaborate with cross-functional teams to define and implement new features.

• Write clean, maintainable, and testable code following industry best practices.

• Leverage AI-assisted development tools to accelerate delivery, improve code quality, and streamline repetitive engineering tasks.

Requirements:

• 5+ years of experience in full-stack web development.

• Strong proficiency in back-end using Node.js

• Experience working with relational and non-relational databases (e.g., MySQL, MongoDB).

• Knowledge of front-end technologies (React.js, Vue.js, Angular) is a plus.

• Familiarity with version control systems (Git).

• Experience with APIs and microservices architecture.

• Practical hands-on experience with AI prompt engineering, leveraging Claude Code, Cursor, GitHub Copilot, or equivalent developer-AI tools.

• Solid understanding of LLM context design, tool integration, and code-generation workflows.

• Ability to effectively decompose complex back-end features into AI-assisted development tasks, accelerating delivery without sacrificing code quality.

Nice to have

• Experience with React Native

• Understanding of mobile performance optimization, memory management, and render cycles