Senior Software Engineer (Full Stack, React & Python) (Tech Lead)

Job Description

As a Tech Lead, you will lead the design, development, and deployment of AI-driven solutions, supporting enterprise AI initiatives and transformations. You will combine strong hands-on technical expertise with leadership responsibilities, working closely with cross-functional stake holders to deliver scalable, secure, and high-impact AI systems.

Qualifications

AI Architecture & Solution Delivery

Lead AI solution architecture, design, and end-to-end implementation across projects

Develop, optimize, and deploy AI models using Python and cloud-based AI services

Integrate video analytics and video processing capabilities into AI solutions

Ensure AI systems meet scalability, performance, reliability, and security standards

Cloud & Platform Engineering

Design and implement AI solutions on Azure and other cloud platforms as required

Support edge AI deployment strategies where applicable

Apply DevOps practices to streamline AI development, deployment, and monitoring

Stakeholder & Delivery Collaboration

Collaborate with cross-functional teams to identify and evaluate AI opportunities

Participate in requirements gathering and review functional specifications with Business Analysts

Work with the team lead to ensure designs and code align with architecture principles and standards

Quality & Governance

Participate in peer reviews to improve solution quality and maintain best practices

Ensure compliance with technical standards, security policies, and project guidelines

Leadership & Continuous Improvement

Mentor and guide junior engineers and data scientists

Stay current with emerging AI technologies, tools, and industry trends

Contribute to strategic thinking and continuous improvement initiatives

Qualifications

Experience & Skills

More than 4 years of hands-on experience in AI development and implementation

Strong proficiency in Python programming

Hands-on experience with Azure AI and cloud services

Experience with machine learning frameworks such as TensorFlow or PyTorch

Familiarity with video analytics and AI-based video processing

Knowledge of DevOps practices within AI or data projects

Experience working in agile delivery environments

Strong leadership, project management, problem-solving,and communication skills

Excellent analytical, strategic, and solution-orientedthinking

Certifications (Preferred)

Microsoft Certified: Azure AI Engineer Associate

Certified Artificial Intelligence Professional (CAIP)

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

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