Lead Software Engineer

We are looking for a seasoned Technical Lead with deep expertise in full-stack development and hands-on experience with Azure OpenAI services. This role involves leading a team of developers, designing scalable solutions, and driving innovation through the integration of AI capabilities into enterprise applications.

Responsibilities

• Collaborate with product owners, architects, and stakeholders to define technical requirements and AI-driven use cases.
• Lead the design, development, and deployment of applications leveragingAzure OpenAI models (e.g., GPT, Embeddings, Fine-tuning).
• Guide the team in integrating AI capabilities into web and mobile applications using REST APIs and SDKs.
• Provide technical leadership, mentorship, and conduct code/design reviews.
• Ensure secure, scalable, and high-performing solutions using modern cloud-native practices.
• Stay updated with advancements in AI/ML, Azure services, and development frameworks.
• Develop POCs and prototypes to validate AI-driven features and business ideas.
• Identify and mitigate technical risks and ensure compliance with security and governance standards.
• Drive DevOps practices including CI/CD, monitoring, and automated testing.

Basic Qualifications

• 7+ years of experience in full-stack development.
• 5+ years of experience with .NET, Node.js, or Express for backend development.
• 3+ years of experience with front-end frameworks (React, Angular, Vue.js).
• Strong experience withAzure OpenAI, including model deployment, prompt engineering, and usage optimization.
• Proficiency in JavaScript, HTML, CSS, and modern architectural patterns (MVC, MVVM, Microservices).
• Experience with hybrid mobile frameworks (e.g., Cordova, Xamarin).
• Solid understanding of object-oriented principles, database design, and performance tuning.
• Familiarity with unit testing frameworks (Mocha, Jasmine, Ava).
• Experience with Git, CI/CD pipelines, and Agile/Scrum methodologies.
• Hands-on experience with Azure PaaS services and cloud-native development.
• Exposure to containerization (Docker) and orchestration (Kubernetes).

Preferred Qualifications

• Bachelors or masters degree or business management, or in a related field is must.
• Experience with AI/ML integration in enterprise applications.
• Ability to design and optimize prompt engineering strategies for LLMs.
• Strong problem-solving and creative thinking skills.
• Excellent communication and stakeholder management abilities.
• Relevant certifications in Azure, AI/ML, or cloud architecture.