Software Engineer

About Aeris Communications Inc.

For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 90 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth.

Job Summary:

We are seeking a experienced Software Engineer to join our Generative AI (GenAI) team. In this critical role, you will be responsible for the design, and implementation of our GenAI platform and services. You will conduct research into cutting-edge GenAI technologies, build AI Agents and ensure the successful delivery of our committed GenAI Objectives and Key Results (OKRs). This is an exciting opportunity to shape the future of our AI capabilities and drive innovation across the organization.

About You:

• Passionate, innovative, likes to explore and continuously challenge yourself and your team, strong analytical and problem solving skills
• Proficiency in at least one modern programming languages with ability to quickly learn new ones (NodeJS and Python are plus)
• Excellent communication skills (written and verbal).
• Communicates proactively and effectively with product and engineering management and project stakeholders in a highly agile environment
• At least a bachelorʼs degree in Computer Science, Software Engineering or equivalent discipline. Knowledge in electrical engineering experience is a plus

Bonus Points:

• Familiarity with Large Language Models (LLMs) and their applications.
• Experience with AI agent frameworks (e.g., Langchain, AutoGPT). Knowledge of Retrieval Augmented Generation (RAG) techniques. Experience with cloud computing platforms (e.g., AWS, Azure, GCP). Contributions to open-source projects in the AI/ML space.