Software Engineer - GenAI

Aeris Communications•San Jose, CA

9d•Hybrid

About The Position

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. Aeris provides a SaaS based connectivity management platform for mobile operators and enterprises. It enables organizations to realize new revenue streams from a vast variety of devices while simplifying the process and reducing the cost of connecting them to benefit from economies of scale. The platform provides access to key functionality including subscription management, eSIM/eUICC management via world class APIs and operator and enterprise self-service portals. This is built on core tenants of cloud computing and intelligence (AI/ML). And thanks to our deep expertise and our extensive trusted partner network, we are the go-to destination for those wishing to roll-out high quality global IoT deployment. As Aeris continues to expand, 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. A few things to know about us: We do things differently . As a pioneer in an industry poised to reshape every sector of the global economy, we can’t settle for another company’s tried and tested template. Innovation is the key to our success and it’s reflected in everything we do: from product design to corporate wellness. We are owners . Strong managers enable their teams to figure out how to solve problems. You will be no exception and will have the ownership and autonomy needed to be truly creative. Values are essential . We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). We walk the talk on diversity and inclusion . We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage. Career elevation . Create platform for growth where employees can take ownership of their opportunity and make it their own. Grow with the company and elevate your career.

Requirements

Passionate, innovative, likes to explore and continuously challenge yourself and your team, strong analytical and problem solving skills
MINIMALLY four years of professional working experience.
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 bachelor’s degree in Computer Science, Software Engineering or equivalent discipline.

Nice To Haves

Ideally four to six years experience developing SaaS/PaaS oriented product is PREFERRED.
Proficiency in at least one modern programming languages with ability to quickly learn new ones (NodeJS and Python are plus).
Knowledge in electrical engineering experience is a plus
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.

Responsibilities

responsible for the design, and implementation of our GenAI platform and services
conduct research into cutting-edge GenAI technologies
build AI Agents
ensure the successful delivery of our committed GenAI Objectives and Key Results (OKRs)