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)