Unilime

Hey there! 
 

We are looking for someone special to contribute to our project

Key Responsibilities

• Hands-On Development: Design, implement, and maintain core features of the SaaS platform in C#/.NET, writing clean, efficient, and maintainable code.
• Platform Architecture Support: Work on Microsoft Azure cloud services, helping to build and maintain scalable, reliable SaaS solutions, including refactoring or modularizing legacy systems toward SOA/Microservices.
• AI-Enhanced Development: Use AI-assisted tools (e.g., GitHub Copilot, Cursor) to improve development speed, testing, and overall code quality.
• Cross-Functional Collaboration: Partner with CTO, Product, and QA teams to align on technical requirements and deliverables.

• Continuous Improvement: Participate in optimizing CI/CD pipelines, automated testing, and cloud deployments, contributing to technical excellence and process improvements.

   

Must-Haves:

• 4–6 years of professional experience in .NET (Framework/Core) for SaaS or enterprise applications.
• Strong experience with Microsoft Azure, including App Services, Azure SQL, Functions, Service Bus, and other core PaaS/IaaS offerings.
• Solid experience with SaaS application architecture, scalable cloud design, and performance optimization.
• Proficiency with ASP.NET MVC and at least one modern frontend framework (Angular preferred).
• Practical experience with AI-assisted coding tools (e.g., GitHub Copilot, Cursor).

• Experience working with or refactoring monolithic applications toward modular/SOA or microservices architectures.

   

Nice-to-Haves:

• Experience collaborating in hybrid onshore/offshore teams.
• Familiarity with Azure DevOps and CI/CD pipeline implementation.
• Exposure to fast-paced startup or high-growth SaaS environments.

Sounds familiar? Apply now! :) 

Hey-hey! 

We are looking for an AI Evaluation & QA Engineer with 2–4 years of experience to join our product and engineering team. You will be responsible for testing, validating, and improving Dash’s retrieval-augmented generation (RAG) engine and AI agent systems. This role is hands-on and technically focused, ideal for someone with strong Python skills, AI evaluation experience, and a keen attention to detail.

Key Responsibilities

• Design and implement automated and manual QA pipelines for RAG engine components and AI agent behavior.
• Develop metrics and benchmarks for evaluating retrieval accuracy, generation relevance, and agent reliability, including faithfulness, context precision, retrieval recall, factual consistency, answer completeness, and alignment with user intent.
• Utilize AI evaluation frameworks such as Ragas, LangSmith, Weights & Biases, or similar tools to measure and improve RAG pipeline performance.
• Build Python scripts and utilities to test, monitor, and analyze retrieval and response quality at scale.
• Collaborate with AI engineers and data scientists to identify edge cases, hallucinations, and inconsistencies in retrieval and generation flows.
• Create synthetic and real-world test datasets for evaluating document retrieval, context injection, and agent reasoning quality.
• Develop dashboards and reports for tracking performance and monitoring regressions.
• Contribute to continuous improvement of QA processes, retrieval versioning, and test automation.

• Demonstrate adaptability and initiative in a startup environment, contributing to product success beyond defined responsibilities.

   

Qualifications

• 2–4 years of professional experience in software QA, AI/ML evaluation, or intelligent system testing.
• Proficiency in Python and scripting for automation and data analysis.
• Hands-on experience with AI evaluation tools (e.g., Ragas, LangChain evaluation tools, Weights & Biases, PromptLayer).
• Solid understanding of retrieval-augmented generation (RAG) systems, vector databases, and embedding evaluation.
• Experience with modern MLOps tools, CI/CD systems, and version control (GitHub, Jenkins, etc.).
• Strong analytical and problem-solving skills, with a data-driven approach to quality assurance.
• Experience in user feedback loop integration and reinforcement learning from human feedback (RLHF).

• Ability to collaborate effectively with AI engineers, data scientists, and product managers.

   

Nice to Have

• Familiarity with retrieval pipelines, document ranking, and semantic search systems.
• Exposure to real estate or SaaS platforms.

Interested? Apply now! 

We are seeking a skilled Front-End Developer to join our US/Canada-based engineering team. This role is fully hands-on, focused on designing and implementing high-quality, responsive front-end applications using Angular, and closely collaborating with a .NET-based back-end to deliver a seamless and performant SaaS experience.

Key Responsibilities

• Develop, test, and maintain Angular-based web applications, ensuring high performance, scalability, and maintainability.,
• Integrate front-end components with .NET back-end services via RESTful APIs and other web protocols.,
• Collaborate with UX/UI designers, product managers, and back-end developers to implement new features and improve existing functionality.,
• Ensure code quality, maintainability, and consistency through rigorous code reviews, unit testing, and adherence to best practices.,
• Participate in architectural discussions to optimize front-end design and performance.,

• Leverage AI-assisted development tools (e.g., GitHub Copilot, Cursor) to enhance productivity and code quality.

   

Required Qualifications

• 3+ years of professional front-end development experience, with strong expertise in Angular and TypeScript.,
• Hands-on commercial experience working on projects where the back-end was implemented in .NET.,
• Solid understanding of modern web standards, including HTML5, CSS3, and responsive design principles.,
• Experience with RESTful APIs, JSON, and client-server architecture.,
• Familiarity with CI/CD pipelines, version control systems (Git), and automated testing frameworks.,

• Strong problem-solving skills and ability to work in a fast-paced, high-ownership environment.

   

Preferred Qualifications

• Experience working in hybrid teams (onshore/offshore collaboration).,
• Familiarity with AI-enhanced development workflows.,
• Basic knowledge of Azure services (App Services, Functions, SQL, Service Bus, etc.).,
• Understanding of modern front-end tooling, including Webpack, RxJS, and state management frameworks.

Looks fun? Apply now!