Senior Lead Software Engineer - AI Driven at Platform Science

Chennai, Tamil Nadu, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Transportation, IoT, Supply ChainIndustries

Requirements

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)
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
Strong team player but able to work independently
Dedicated to delivering high quality and performant solutions
Eager to learn new things and take ownership

Responsibilities

Lead the Design and Development: Architect, design, and lead the hands-on development of scalable, high-performance AI-driven features for 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

Skills

Machine Learning

Firebase ML Kit

GCP

Full-Stack Development

Backend APIs

Mobile Development

Web Development

Scalable Systems

Platform Science

Fleet management solutions for large operators

About Platform Science

Platform Science offers a configurable open platform for the transportation industry, focusing on telematics and fleet management solutions. Their products include a connected vehicle platform, mobile device management, and a fleet management portal, which help large fleet operators transition from outdated systems to more advanced technology. These tools enable fleet operators to manage mobile devices and applications, monitor operations, and ensure safety and maintenance through a single portal. Unlike competitors, Platform Science emphasizes ease of use and quick deployment, making it accessible for clients. The goal is to enhance efficiency, improve the driver experience, and provide future-proof solutions for fleet management.

San Diego, CaliforniaHeadquarters

2015Year Founded

$350.1MTotal Funding

LATE_VCCompany Stage

Automotive & Transportation, Enterprise SoftwareIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Risks

Emerging IoT fleet management startups increase competition in the market.

Economic downturns may reduce investment in fleet management technologies.

Reliance on OEM partnerships poses risks if relationships are disrupted.

Differentiation

Platform Science offers a configurable open platform for modern telematics solutions.

The company provides enterprise-grade applications tailored for large fleet operators.

Platform Science's platform is easy to use and ready out of the box.

Upsides

Platform Science raised $125 million to accelerate innovation in transportation.

Partnerships with OEMs and companies like Averitt enhance their market position.

ISO 27001 certification boosts trust and compliance in fleet management.

Land your dream remote job 3x faster with AI

Try Jobo Free