Developer II (7+)
ultipro | 7 days ago | Remote

Here's how you will contribute to the company’s success 

  • Strong expertise in designing and building scalable web applications, along with hands-on experience integrating AI capabilities into enterprise-grade products. Propose, review, and implement User stories and bugs. 
  • Define and uphold coding standards while contributing meaningfully to the code review process. 
  • Mentor Developer I team members, supporting their growth and performance. 
  • Apply SDLC best practices and design patterns effectively. 
  • Translate the Product Owner’s vision into actionable technical plans and execute them with your development team. 
  • Identify elements of technical debt within the team, help prioritize them, and drive their resolution. 
  • Participate in recruitment activities, including second-stage technical interviews, when required. 
  • Stay up to date with emerging technologies and industry best practices, sharing relevant insights with the team as part of ongoing technology watch. 

Here's what you need to have and master to get the job: 

  • College or University degree/diploma in Computer Science (or equivalent). 
  • 7+ years of proven experience developing web applications, REST APIs, and SaaS products, including at least 3 years of hands-on experience implementing AI-driven solutions. 
  • Strong understanding and application of SOLID and DDD principles, with a focus on writing clean, maintainable code. 
  • Proficiency in the following technologies: .NET Core, .NET Framework, C#, SPA (Angular), SQL Server, and Azure DevOps. 
  • Integrate AI and Generative AI capabilities into web applications. 
  • Develop AI-powered features such as intelligent search, summarization, recommendations, copilots, chat interfaces, and workflow automation. 
  • Integrate applications with LLM APIs and AI platforms. 
  • Implement RAG-based solutions using embeddings, vector databases, MCP development and enterprise knowledge sources. 
  • Design prompts, agent workflows, and tool integrations for AI-enabled applications. 
  • Evaluate AI responses for accuracy, reliability, performance, security, and cost. 
  • Strong team spirit and collaborative mindset. 
    • Excellent communication skills in English (speaking, writing, reading, and comprehension). 
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