The Senior Engineer – AI & Edge Product Development is responsible for the design, development, integration, and optimization of advanced technology components within AI and computer vision-based product lines. This role spans edge and server hardware, embedded and cloud applications, system utilities and infrastructure alignment. The Senior Engineer contributes technically, drives implementation excellence, and provides mentoring support to junior engineers.

Skills

• Product Development
• Embedded Systems
• Python
• C
• REST API
• Docker/Kubernates
• Linux
• Artificial intelligence (AI)

Requirements

• Job Role Senior Engineer -AI, CV & Edge Product Development
• Job Type Full Time
• Workplace Type Onsite
• Industry Information Technology & Services

Secondary locations

About

Not provided

Responsibilities

1. System Design & Development

• Develop core software modules for edge and server environments including system services, APIs, and AI integration layers.

• Participate in the design of end-to-end architecture involving AI/CV models, sensor integration, and multi-platform deployment.

• Collaborate with data science teams to integrate AI/ML models into production pipelines.

• Optimize runtime performance and memory utilization for inference on edge devices (e.g., GPU, TPU, ARM platforms).

• Ensure compatibility and performance alignment between software applications and underlying edge or server hardware.

• Work on low-level device interfaces, sensor control, and real-time data acquisition when required.

• Contribute to the development of utilities for diagnostics, licensing, system configuration, remote updates, and monitoring.

• Ensure robust, user-oriented, and secure implementation of all services.

• Support infrastructure sizing and configuration based on AI workload profiles, latency requirements, and deployment architecture.

• Collaborate with DevOps for containerization, CI/CD setup, and deployment automation across environments.

• Write clean, maintainable, and scalable code with unit tests and inline documentation.

• Participate in code reviews, performance tuning, and system debugging efforts.

• Provide technical mentorship to junior engineers and interns.

• Collaborate with product, QA, infrastructure, and hardware teams for coordinated execution.

Other Requirements

• Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field.

• 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems.

• Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems.

• Practical experience with AI inference engines and edge deployment tools.

• Experience working on edge platforms and server-based deployment environments.

• Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments.

Good to have

• Self-motivated and technically curious with a hands-on problem-solving approach.

• Good understanding of hardware-software co-design, deployment constraints, and cross-platform development.

• Strong interpersonal skills with the ability to work collaboratively across disciplines.

• Exposure to regulated environments or mission-critical deployments is a plus.

About the Company

Trois Infotech is a cutting edge technology company having products and solutions for Responsible surveillance, Cleantech, Telecommunication and Utility. Our state-of-the-art AI and computer vision research team is committed to transform the camera-based surveillance. Our research includes edge and server-based computer vision products for security surveillance, traffic enforcement, defense, law and order, crime analysis, perimeter security with violations and incident detection, unconstrained ANPR, Pose invariant Face Recognition, Gait Recognition etc. In the Cleantech domain, we have an enterprise waste management product which can track and monitor the entire waste management process with role-based web and mobile applications and insightful reports and dashboards. We have large scale wide implementation of computer vision products and platform and mobile applications for waste management monitoring. We have ongoing projects in India and the Middle East. The current total team size is more than 100.