Senior Lead Software Engineer - AI Driven
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Job Description
At Platform Science, were working to connect everything that moves.
Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.
Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.
We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.
About The Role
Platform Science is looking for a Senior Lead Software Engineer to be a pivotal force in the evolution of our Driver App and its related web platforms in Chennai. This is a rare opportunity for a seasoned technical leader and hands-on architect to own the technical vision and execution of our AI-driven features. This role is not just about writing code; its about setting the technical direction and architecting robust, scalable, and intelligent systems that will define the future of our product suite, directly influencing the efficiency of thousands of drivers and solidifying our market leadership.
The role reports to the Software Development Manager.
Essential Responsibilities
- Lead the Design and Development: Architect, design, and lead the hands-on development of scalable, high-performance AI-driven features for our core products (mobile and web).
- Implement Full-Stack AI: Develop and optimize on-device machine learning models (e.g., using Firebase ML Kit) while also building robust backend APIs for complex model serving on cloud platforms (e.g., 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; establish best practices for software development, microservices architecture, and MLOps.
- Collaborate Cross-Functionally: Work closely with SMEs to transition models from research to production and partner with other engineering teams to bring innovative ideas to market.
Required experience
- 10-12+ 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.
- Hands-on experience with key AI Agent building frameworks such as Langchain and Google ADK.
- Expert-level knowledge of Mobile (Android/iOS) development, including practical experience with on-device ML model integration and optimization.
- Strong proficiency in Web/Backend development with languages like Python and experience deploying APIs and services on cloud platforms (e.g., AWS, Azure, or GCP).
- Deep understanding of distributed systems, microservices architecture, and the full MLOps lifecycle.
- Exceptional problem-solving skills with a track record of tackling complex technical challenges.
- Familiarity with event-driven design patterns and technologies (e.g., Apache Kafka, RabbitMQ).
- Experience with containers (Docker, Kubernetes) and CI/CD pipelines.
- Knowledge of software development best practices, including version control (Git), code reviews, and testing methodologies (e.g., TDD).
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- Passion and willingness to learn new technologies.
- Strong analytical and problem solving skills.
- Self-starter, Ability to work well in a small team with good communication skills.
- You are a strong team player but are able to work independently.
- You are dedicated to delivering high quality and performant solutions.
- You are eager to learn new things, you take ownership and want to get things done.
- Provident fund and gratuity in accordance with applicable laws.
- Paid vacation, sick leave and holidays, in accordance with applicable laws.
- Twenty-Six weeks of paid maternity leave.
Skills
PythonMachine LearningAi/machine LearningAiMlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
01 Jan 26, 05:22 PM IST
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