Do you want to join a company with a century-old tradition of innovation and entrepreneurial spirit that pushes the boundaries of the smart lighting industry?
A company that requires employees to expand their expertise not only to light urban environments but also to provide services for engaging and interactive public spaces. With a rich heritage in engineering, environmentally, economically, and socially sustainable lighting has always been part of our DNA. With connectivity becoming increasingly vital, as Experts in Lightability™, we propose lighting infrastructures that will play a key role in building Smart Cities.
We are a family-owned multinational company of Belgian origin, headquartered in Brussels, and we are present in more than 70 countries across 5 continents.
Do you accept the challenge? Let's illuminate the future together!
Job DescriptionAbout the Role
We are looking for a Senior / Principal Engineer to join the Cognitive Sensing team at Hyperion, working on AI‑driven sensing and decision systems for Smart Cities and IoT platforms.
This role sits at the intersection of IoT, edge computing, classical AI/ML, and Generative AI. You will design and build systems that combine sensor data, machine intelligence, and contextual knowledge, including the use of Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) to enhance observability, diagnostics, and decision‑making.
The role is primarily hands‑on and technical, with the opportunity to take on technical leadership responsibilities depending on experience, interest, and team needs.
What You Will Do
AI, GenAI & Cognitive Systems
- Design, implement, and evolve AI‑enabled sensing systems from edge to cloud.
- Build and integrate AI/ML models into production environments.
- Design and implement Generative AI solutions, including:
- LLM‑based services
- Retrieval‑Augmented Generation (RAG) pipelines
- Vector databases and semantic search
- Work closely with data scientists and engineers on evaluation, monitoring, and drift detection.
Software Development (Full‑Stack)
- Design, develop, and maintain production‑grade software services and applications:
- Front‑end: Angular, TypeScript
- Back‑end: .NET (C#), Python
- Build robust REST APIs / microservices and integrate with internal and external systems.
- Apply strong engineering practices: clean architecture, testing, code reviews, documentation.
Data & Storage (SQL + NoSQL)
- Design data models and persistence strategies for IoT telemetry, configuration, and AI outputs.
- Work with relational and NoSQL databases, such as:
- SQL: SQL Server, PostgreSQL (or similar)
- NoSQL: MongoDB (or similar)
- Optimize queries, indexing, and performance for high‑volume and time‑series‑like workloads (telemetry/event data).
Cloud & DevOps (Azure / CI-CD / Containers)
- Contribute to cloud‑native and hybrid deployments, preferably in Azure.
- Build, maintain, or improve CI/CD pipelines using Azure DevOps (or similar tooling)
- Containerize services with Docker and deploy/operate workloads in Kubernetes clusters (cloud or on‑prem)
- Improve operational excellence: logging, monitoring, reliability, and cost awareness (FinOps mindset).
Collaboration & Technical Influence
- Collaborate with Product, Data, and Business stakeholders to align technical solutions with product goals.
- Communicate complex technical and AI concepts clearly to different audiences.
- Identify technical risks and contribute to mitigation strategies.
Optional: Technical Leadership (Depending on Profile)
- Provide technical guidance and mentorship to other engineers.
- Contribute to architectural decisions and technical standards.
- Participate in hiring and technical interviews (if interested).
Note: Prior experience as a Tech Lead is not required. Candidates with strong technical expertise who want to grow into a leadership role are encouraged to apply.
QualificationsRequired Skills & Experience
- Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
- 8+ years of experience in software engineering or systems development.
- Strong software engineering skills with at least one of: .NET (C#), Python, Angular/TypeScript.
- Experience designing and shipping APIs / distributed services.
- Solid understanding of Generative AI and LLM‑based architectures, including:
- Prompt engineering and evaluation
- Retrieval‑Augmented Generation (RAG)
- Vector databases and embeddings
- Experience with databases (relational + NoSQL), such as SQL Server / PostgreSQL and MongoDB
- Experience with Docker and CI/CD; familiarity with Azure DevOps is a strong advantage
- Exposure to Kubernetes deployment/operations is a strong advantage
- Fluent English (required).
Nice to Have
- Experience operating LLMs in production (cloud or hybrid).
- Knowledge of MLOps / LLMOps practices.
- Event‑driven systems and streaming (Kafka, RabbitMQ, Azure Event Hub)
- IoT protocols (MQTT, AMQP, CoAP, WebSockets)
- Background in Smart Cities / Lighting / industrial IoT.
Salary: Remuneration package (along with meal allowance + health insurance)
What We Do
Schréder is the leading independent smart outdoor lighting solution provider worldwide. The company, founded in 1907, is present in over 70 countries on 5 continents. Our tradition of engineering means we have been at the forefront of innovation throughout our history. The latest wave of urbanism means that city centres are becoming more vital than ever: connectivity is crucial. Experts in Lightability™, we propose lighting infrastructure that will play a pivotal role in building Smart Cities and future communication networks. Our purpose is to deliver an outstanding experience by accompanying our customers along every step of their journey, from design to after-sales service, including light, control systems, CCTV, WiFi, EV chargers and many more smart features. Environmentally, economically, and socially sustainable lighting has always been part of Schréder’s DNA. We have already helped many cities, industries and sports venues worldwide to reduce their energy bills and carbon footprint by switching to LED technology. By integrating our control systems, they achieve further energy-savings and deliver a better people-centred experience. Our century-long experience has given us the clarity and insights to help cities transform their street lighting upgrades into the foundation for their smart city eco-systems. Our systems are open and interoperable to seamlessly interact with sensors and actuators deployed throughout public spaces and to solve existing and future needs. We are constantly pushing the limits of our technology to enable communities such as Valencia in Spain, Bad Hersfeld in Germany and Queensland in Australia to better manage their assets, reduce their expenditure and preserve their identity and their environment. Please visit our web site for more details about Schréder: www.schreder.com
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