Technical Lead

Location

Chennai, India

Employement Type

Full Time

Experience

7-12 years

We are looking for a hands-on Technical Lead to build and scale Uncia’s digital lending platform. The ideal candidate should have strong experience in the banking/lending domain, deep coding expertise, and significant contributions to AI in real-world application development. This role is best suited for someone passionate about solving complex problems, writing production-grade code, and embedding AI into core business workflows.

  • Design and develop scalable banking & lending solutions (LOS/LMS platforms)
  • Actively contribute to hands-on coding (50%+) across backend and frontend
  • Build robust backend systems using .NET Core, Web APIs, and Microservices architecture
  • Develop a responsive UI using Angular or React
  • Drive AI integration into applications, ensuring real business impact
  • Solve complex technical challenges with strong analytical and problem-solving skills
  • Collaborate with product and business teams to translate requirements into scalable solutions
  • Contribute to system design, architecture, and performance optimization
  • Ensure high-quality code through reviews, testing, and engineering best practices
  • Support cloud deployments and CI/CD pipelines (Azure/AWS)
  • 7-12 years of experience in software development
  • Strong experience in the lending domain. Proven hands-on expertise:
    • .NET Core, ASP.NET, Web APIs, Microservices architecture
    • Angular
  • Strong coding, debugging, and problem-solving skills
  • Experience with SQL Server
  • Solid understanding of system design and distributed systems
  • Demonstrated significant contribution to AI-driven application development, such as:
    • Designing and implementing AI-powered features within products
    • Integrating ML models / AI APIs into production systems
    • Building or contributing to intelligent workflows (decisioning, automation, predictions)
  • Hands-on experience in one or more:
    • Credit risk modeling/underwriting automation
    • Fraud detection systems
    • Customer analytics/recommendation engines
  • Familiarity with AI/ML tools & technologies (Python, TensorFlow, OpenAI APIs, or similar)
  • Ability to translate business problems into AI-driven solutions
  • Lead, mentor, and grow a team of software engineers, fostering a culture of collaboration, innovation, and accountability.
  • A developer who has built AI into real applications (not just theoretical exposure)
  • Someone who can own complex problems and deliver scalable solutions
  • A professional who combines fintech domain knowledge with AI innovation

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