Missions
SOCOTEC is a leader in niche consulting services within the architecture, engineering, and construction industries, with a focus on high-performance buildings and specialty structures. We take an integrated, holistic approach to solving challenges in building envelopes, Energy efficiency, sustainability, code advisory, and construction advisory projects. SOCOTEC’s reputation for excellence continues to drive its growth and recognition as a best-in-class service provider.We offer a competitive salary and benefits package, mentorship and training opportunities, and regular team-building activities. SOCOTEC is proud to be officially certified as a Great Place to Work® by the global authority on workplace culture.
As a AI Engineer at SOCOTEC, you will play a key role in designing, developing, and maintaining robust software solutions that power our digital initiatives. In
addition to core software engineering responsibilities, this role offers the opportunity to work on applied AI solutions that enhance our enterprise systems, automate complex workflows, and improve client experiences.
You’ll collaborate with cross-functional teams—including product managers, UI/UX designers, data scientists, consultants, and engineers—to build scalable applications, deploy AI-powered features, and drive innovation across our technology stack.
Key Responsibilities:
- Software Design & Development: Architect, design, and implement scalable, reliable, and maintainable software applications, services, and APIs.
- Applied AI Development: Design and deploy AI-driven solutions that support SOCOTEC’s chatbot programs and automation initiatives.
- Technical Leadership: Provide technical guidance, code reviews, and mentorship to software engineers. Foster engineering best practices and ensure adherence to software quality standards.
- AI Integration & Deployment: Collaborate with AI/ML engineers and data scientists to integrate AI models into production applications, ensuring scalability, security, and performance.
- Collaborate Across Teams: Work with product managers, designers, and stakeholders to translate business requirements into intelligent software and AI-powered solutions.
- Performance Optimization: Monitor, analyze, and optimize application and AI model performance, addressing bottlenecks and ensuring systems are robust and efficient.
- Continuous Improvement: Drive continuous improvements in our software development lifecycle (SDLC) , including CI/CD pipelines, automated testing, and deployment workflows.
- Documentation: Maintain clear and comprehensive documentation of software systems, AI workflows, APIs, and architecture decisions.
Profil recherché
- Programming Expertise: Proficiency in Python with experience in JavaScript/TypeScript or another modern programming language.
- Backend & API Development: Demonstrated experience designing and building
- Frontend Development: Proficiency in modern frontend frameworks such as React or Vue, with experience building responsive, user-friendly interfaces that integrate with
- Applied AI/ML:
o Deep familiarity with agentic workflows and orchestration frameworks such as LangChain, LangGraph, or similar tools.
o Proficient in AI/ML libraries and ecosystems including Hugging Face Transformers, TensorFlow, PyTorch, and Scikit-learn.
o Proven ability to integrate AI-driven functionality into complex software systems at scale.
- Cloud Platforms: Experience deploying software and ML services on major cloud providers such as AWS, Azure, or GCP.
- Version Control & Collaboration: Strong command of Git and GitHub workflows; experience working in agile development environments.
- Database Management: Skilled in working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB) .
- Communication & Leadership: Excellent collaboration and communication skills, with experience mentoring junior engineers and coordinating with cross-functional
Preferred Qualifications:
- Experience with containerization and orchestration (Docker, Kubernetes) .
- Familiarity with CI/CD pipelines and automated testing frameworks.
- Knowledge of model monitoring, A/B testing, and continuous improvement strategies for AI systems.
- Understanding of security best practices for both software and AI/ML applications.
- Experience in the architecture, engineering, and construction (AEC) industry is a plus