ABOUT FALKOR
We build industrial intelligence software for heavy-asset sectors. As a KONGSBERG company backed by over 200 years of heritage,
Falkor helps the energy, chemicals, utilities and other industrial sectors operate with absolute clarity, confidence, and control.
Our AI-enabled platform connects people, systems, and workflows—expanding human capability by turning complex data into real-time,
actionable decisions. We help leading organizations improve safety, efficiency and performance while redefining how heavy assets
are designed and operated.
ABOUT THE ROLE
Falkor is building the AI-first future of industry. We are looking for an AI Engineer with strong computer science foundations and
proven ability to design and deliver end-to-end AI solutions. The ideal candidate has solid grounding in data structures,
algorithms, and system design, coupled with experience integrating AI into modern web platforms and mobile platforms.
You will build AI capabilities into real industrial products, digital twins, and operator interfaces for critical systems. You
will work with real domain expertise, large industrial datasets, and a strong product environment at Fornebu. The role requires
strong software engineering skills, including robust APIs, full-stack development, data pipelines, and production-grade code.
RESPONSIBILITIES
- Design and implement scalable AI-powered features such as copilots, Retrieval-Augmented Generation (RAG), search and other AI
capabilities.
Build efficient end-to-end pipelines that handle large-scale industrial data with reliability and low latency.
Integrate AI services into the Digital Twin ecosystem, ensuring seamless operator experiences.
Apply strong problem-solving skills to optimize models and workflows for performance, efficiency, and robustness.
Collaborate with AI researchers, product teams, and domain experts to translate concepts into production-ready solutions.
- Contribute to the continuous improvement of our AI-first industrial platform by writing clean, maintainable, and well-tested
code.
QUALIFICATIONS
Bachelor’s or Master’s in computer science, Engineering, or related field.
Strong foundation in data structures, algorithms, complexity analysis, and system design.
Professional experience building and deploying AI/ML-driven solutions.
- Ability to design and implement scalable APIs and services within modern full-stack environments (MEAN stack experience is a
strong plus) and for mobile as well.
- Knowledge of search, optimization, and applied AI techniques such as anomaly detection, recommendation, and natural language
interaction.
Strong problem-solving mindset, with ability to balance theoretical rigor and practical deployment needs.
Strong programming skills in Python and TypeScript/JavaScript
Experience with a major cloud platform (AWS, Azure, or GCP)
Retrieval-Augmented Generation (RAG) and vector search
Security best practices
NICE TO HAVE:
MLOps experience (model deployment, monitoring, CI/CD for ML)
LLM fine-tuning, evaluation, or prompt optimization
Experience with industrial domains, IoT, or digital-twin systems
Familiarity with orchestration frameworks (e.g., LangChain, LlamaIndex)
Background working with real-time, time-series data, text data, etc.
WHY JOIN FALKOR?
You'll be joining a global technology company helping to redefine how complex industries operate.
At Falkor, you'll have the opportunity to:
Work on meaningful challenges with real-world impact
Collaborate with talented colleagues across technology and industry domains
Learn from experts in software, engineering, operations, and digital transformation
Grow your career in a business that is expanding globally
Help shape technology that expands human capability in complex industries
We believe diverse perspectives make us stronger and are committed to creating an environment where everyone feels respected,
included, and able to do their best work
AGENCY NOTICE
Falkor occasionally partners with selected recruitment agencies for specific hiring requirements. We do not accept unsolicited
candidate submissions and will not be responsible for associated fees unless terms have been agreed in advance through our
Procurement team.