Senior Lead Software Engineer

Business Title: Senior Lead Software Engineer

About the role

Are you a seasoned technical leader and hands-on architect with a passion for leveraging Artificial Intelligence to solve complex, real-world problems We are seeking a highly skilled and experienced Senior Lead Software Engineer to be a pivotal force in the evolution of our Driver App and its related web platforms. This is a rare opportunity to own the technical vision and execution of our AI-driven features, directly influencing the efficiency and success of thousands of drivers and solidifying our market leadership.

This role is not just about writing code; it`s about setting the technical direction, and architecting robust, scalable, and intelligent systems that will define the future of our product suite.

About the Role: Your Impact & Strategic Focus

As a Senior Lead, you will serve as a technical expert and thought leader, responsible for advancing our core Instinct system and AI platform. Your deep expertise will be crucial in translating cutting-edge AI research into practical, production-ready features for both our mobile application and backend services. This is a strategic investment in our platforms long-term viability, and your work will have a direct, measurable impact on our business.

You will be instrumental in:

Architecting AI-Powered Features: Designing and building end-to-end, production-grade AI capabilities for the Driver App, from on-device model inference to cloud-based prediction services.

Driving Technical Innovation: Leading the research and evaluation of new AI models (e.g., Computer Vision, NLP) and technologies, and providing recommendations on their strategic adoption.

Ensuring Full-Stack AI Integration: Owning the full lifecycle of AI features, from model serving and API development on the backend to seamless integration and performance optimization on the mobile client and web portals.

Essential Responsibilities: NODE JS ,REACT,PYTHON,AI LAN C

Lead the Design and Development: Architect, design, and lead the hands-on development of scalable, high-performance AI-driven features for our core products, ensuring optimal performance for both mobile and web environments.

Implement On-Device and Cloud AI: Develop and optimize on-device machine learning models using frameworks like Firebase ML Kit for tasks like document scanning, while also building robust backend APIs for complex model serving on GCP

Define the AI Technology Roadmap: Collaborate with product managers and data scientists to define the technical roadmap for AI integration, assessing new technologies and making build vs. buy decisions.

Ensure Scalability and Reliability: Write clean, efficient, and well-documented code, and establish best practices for software development, microservices architecture, and MLOps to ensure the system is reliable, scalable, and maintainable.

Collaborate Cross-Functionally: Work closely with SMEs to transition models from research to production, and partner with product managers and other engineering teams to bring innovative ideas to market.

Design and implement microservices, ensuring loose coupling and high cohesion between services.

Write clean, modular, and testable code following software engineering best practices.

Conduct thorough unit testing, integration testing, and performance testing to ensure the reliability and quality of software solutions.

Collaborate with DevOps teams to implement and automate CI/CD pipelines.

Troubleshoot and debug software defects, performance bottlenecks, and production issues.

Stay updated with the latest technologies, frameworks, and tools related to software development, cloud computing, and microservices architecture.

Experience:

Experience: years of progressive experience in software development, with a significant focus (3+ years) on building and deploying AI/Machine Learning capabilities in a production environment.

AI Agent: Hands-on experience with key Agent building frameworks such as Langchain, Google ADK.

Proven ability to apply different types of models (e.g., Computer Vision, NLP, predictive analytics) to solve real-world problems.

Mobile: Expert-level knowledge of Android (Kotlin/Java) and/or iOS (Swift) development, including practical experience with on-device ML model integration and optimization.

Web/Backend: Strong proficiency in backend development with languages like Python and experience building and deploying APIs and services on cloud platforms (e.g., AWS, Azure, or GCP).

Architecture: A deep understanding of distributed systems, microservices architecture, and the full MLOps lifecycle. Experience with containers (Docker, Kubernetes) and CI/CD pipelines.

Familiarity with event-driven design patterns and technologies (e.g., Apache Kafka, RabbitMQ).

Experience with RESTful API design and development.

Experience with unit testing frameworks (Jest, xUnit, Enzyme), familiarity with Test driven development.

Knowledge of software development best practices, including version control (e.g., Git), code reviews, and testing methodologies.

Familiarity with Agile methodologies, practices and tools (Jira, Rally etc)

Exceptional problem-solving skills with a track record of tackling complex technical challenges and delivering innovative solutions.