Principal AI Software Engineer

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 Description

About 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.

Qualifications

Required 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.

Additional Information

Salary

Remuneration package (along with meal allowance + health insurance)