AI Software Engineer

About the Company

FOZ One is a forward-thinking organization committed to transforming ideas into real-world solutions that empower businesses locally and globally. We emphasize innovation, technology, and continuous improvement while providing a modern and supportive working environment designed to encourage collaboration, creativity, and employee well-being. At FOZ One, we value learning, professional growth, and innovation, offering our people the opportunity to thrive in a dynamic workplace that embraces progress and long-term development.

Role Overview:

The AI Software Engineer designs, builds, and maintains software applications and AI-driven systems to solve business needs. The role combines traditional full-stack software development, automated workflow implementation, and practical AI/LLM integration.

Key Responsibilities

• AI Development & Prototyping:

  • Build and deploy AI prototypes including RAG-based assistants, intelligent search, classification models, and predictive analytics tools.
  • Prepare datasets, prompts, embeddings, and knowledge pipelines for LLM applications.
  • Conduct Proof-of-Concepts (POCs), test AI model outputs for accuracy, and monitor live performance.

• Software Development & SDLC:

  • Translate business requirements into technical specs, system architectures, and workflows adhering to standard SDLC practices.
  • Integrate AI models and APIs into existing software backends and UI components.

• Automation & Intelligent Workflows:

  • Identify manual operational processes and build automated workflows using custom scripts and RPA tools (e.g., UiPath, Power Automate).
  • Develop intelligent automation solutions such as automated document processing and predictive triggers.

• Testing, Support & Collaboration:

  • Execute test plans, conduct User Acceptance Testing (UAT), resolve system defects, and monitor release performance.
  • Collaborate with cross-functional teams to gather requirements and report project progress/dashboards to management.

Qualifications:

• Bachelor’s Degree, Post-Graduate Diploma, or Professional Degree in Computer Science, Information Technology, or a related field.
• Minimum 2–3 years of experience in AI/ML projects, data analytics, BI development, or equivalent technical role.
• Proficiency in OOP, ASP.NET Framework 4.5, C#, HTML, CSS, Bootstrap 4, JavaScript, jQuery, SQL Server, Xamarin, and Restful APIs.
• Familiarity with AI/ML concepts such as embeddings, RAG, classification, or clustering.