F
Software AI Engineer
Falkor
1 hour ago
Full-time
On-site
Wind Lake, Wisconsin, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr