LLM Jobs in Norway.
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Applied AI Engineer (Fullstack), AI Co-Innovation
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As an AI Engineer, you'll design and build complex AI-powered solutions—agentic systems, user-facing applications, and intelligent workflows—deployed in real customer environments. You'll work closely with customer teams, internal stakeholders, and product engineering to take solutions from idea to production.
This role demands hands-on technical depth, creativity in solution design, and the ability to move fluidly across domains, tools, and stakeholders.
The Impact you bring to Cognite
- Own deployments end-to-end. Build cross-stack solutions using Cognite Data Fusion and agentic frameworks to solve real customer problems
- Work with real-world systems and data. Orchestrate integrations between AI components, Cognite data models, and existing customer systems using scalable engineering practices
- Design agent workflows. Architect and implement multi-agent systems that combine LLMs, tool use, evaluation loops, and reasoning over industrial data
- Execute directly with customers. Collaborate with technical teams on-site to refine use cases and integrate solutions into production environments.
- Build interactive UIs. Create lightweight but powerful interfaces that deliver value for executives and operators alike.
- Evangelize and enable. Translate technical work into compelling narratives that inspire internal and external stakeholders.
- Shape the product. Feed learnings and customer feedback into the product roadmap systematically—ensuring we build the most compelling industrial AI platform in the market.
- You've built with AI systems. Hands-on experience with LLMs, embeddings, prompt engineering, and related techniques
- You're a strong full-stack engineer. You can work across the stack and own delivery of functional, user-facing solutions: Frontend: React (or similar) + TypeScript, Backend: Python, Kotlin, or similar for orchestration and API integration
- You have 3+ years of relevant experience in software engineering, AI solution architecture, or similar roles—including direct customer-facing work.
- You've shipped agent-based applications. Experience building LLM-driven or agentic systems (e.g., using LangChain or similar frameworks).
- You default to building. Bias toward rapid iteration, showing rather than telling, and learning by doing.
- You communicate clearly. Strong storytelling skills for both technical and executive audiences.
- You write quality code. Clean, maintainable, and scalable—with solid practices around testing, version control, and code review.
- You work at the frontier. Familiarity with modern AI development workflows, rapid iteration, and agentic engineering tools as part of your daily workflow.
Preferred Experience
- Strong UI/UX instincts for building demos and apps quickly
- Understanding of industrial data types (time series, knowledge graphs)
- Experience with Cognite Data Fusion
- Familiarity with vector databases and RAG architectures
- Cloud-native development experience (AWS, Azure, GCP)
- Exposure to industrial domains—manufacturing, energy, process industries
- Startup or high-velocity product environment experience
- Experience with industrial control systems
- Deep fluency with agentic coding tools and an understanding of what they mean for the future of software engineering—and industrial workflows
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Senior Developer Advocate
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What Is The Role :
Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.
We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.
Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.
What You Will Be Doing:
- Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
- Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
- Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
- Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
- Build demos and examples to support your content or share the highlights of the latest research papers.
- Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.
What You Bring :
- Solid technical background and experience in an engineering role.
- Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
- Comfortable working independently and seeing projects through from idea to publication without waiting on others.
- Curiosity and adaptability to quickly pick up new tools and topics.
- A collaborative mindset and willingness to share ideas, in a fully distributed team.
- Strong written and spoken communication skills in English.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Ready to apply?
Apply to Referral Board
LLM Inference Deployment Engineer
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EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
About the Role
EnCharge AI is seeking an LLM Inference Deployment Engineer to optimize, deploy, and scale large language models (LLMs) for high-performance inference on its energy efficient AI accelerators. You will work at the intersection of AI frameworks, model optimization, and runtime execution to ensure efficient model execution and low-latency AI inference.
Responsibilities
- Deploy and optimize LLMs (GPT, LLaMA, Mistral, Falcon, etc.) post-training from libraries like HuggingFace
- Utilize inference runtimes such as ONNX Runtime, vLLM for efficient execution.
- Optimize batching, caching, and tensor parallelism to improve LLM scalability in real-time applications.
- Develop and maintain high-performance inference pipelines using Docker, Kubernetes, and other inference servers.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
- Experience in LLM inference deployment, model optimization, and runtime engineering.
- Strong expertise in LLM inference frameworks (PyTorch, ONNX Runtime, vLLM, TensorRT-LLM, DeepSpeed).
- In-depth knowledge of the Python programming language for model integration and performance tuning.
- Strong understanding of high-level model representations and experience implementing framework-level optimizations for Generative AI use cases
- Experience with containerized AI deployments (Docker, Kubernetes, Triton Inference Server, TensorFlow Serving, TorchServe).
- Strong knowledge of LLM memory optimization strategies for long-context applications.
- Experience with real-time LLM applications (chatbots, code generation, retrieval-augmented generation).
EnchargeAI is an equal employment opportunity employer in the United States.
Ready to apply?
Apply to EnCharge AI