Description :
Were seeking a seasoned Technical Lead with a strong grounding in AI to drive our next-generation software initiatives.
Youll partner with cross-functional teams to architect, develop, and deliver scalable solutions, while mentoring developers and overseeing quality across the full SDLC.
Key Responsibilities :
- Solution Architecture & Design : Lead end-to-end technical design for AI driven features, ensuring alignment with business goals and scalability requirements.
 - Hands-on Development : Contribute to and guide development in .NET (Core. and Framework) and React.js for front-end interfaces.
 - Code Quality & Reviews : Establish and enforce coding standards; conduct systematic code reviews to maintain high quality and best practices.
 - CI / CD Pipeline Ownership : Design, implement, and optimize automated build, test, and deployment pipelines (e.g., Azure DevOps, Jenkins, GitHub Actions).
 - AI Integration : Evaluate and integrate AI / ML components models, APIs, and services into existing and new applications.
 - QA Team Management : Oversee QA planning and execution; define test strategies, delegate tasks, and ensure defect resolution and release readiness.
 - Technical Leadership & Mentorship : Coach and mentor developers; foster a culture of continuous learning and innovation.
 - Stakeholder Collaboration : Work closely with Product, UX, and Operations teams to translate requirements into robust technical solutions.
 
Required Qualifications :
Bachelors or Masters degree in Computer Science, Engineering, or related field.6+ years of software development experience, with at least 3 years in a technical lead capacity.Proven expertise in .NET (C#, ASP..NET Core) and React.js.Strong understanding of AI / ML concepts and hands-on experience consuming AI services (e.g., Azure Cognitive Services, TensorFlow, PyTorch integrations).Deep familiarity with CI / CD tools and practices automated builds, deployments, and infrastructure as code.Demonstrated ability to conduct code reviews and enforce best practices. (SOLID principles, design patterns).Experience managing and scaling a QA team, defining test frameworks, driving quality metrics.Excellent problem-solving skills and ability to craft end-to-end technical solutions.Strong communication skills, with experience liaising between technical teams and business stakeholders.Work from office full-time.Desirable Skills :
Hands-on with Docker, Kubernetes, or other container orchestration platforms.Familiarity with cloud platforms (Azure, AWS, or GCP) and serverless architectures.Experience in Agile / Scrum methodologies and tools (JIRA, Confluence).Prior exposure to data engineering or DevOps practices.(ref : hirist.tech)