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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
Fullstack Software Engineer
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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
The Impact you bring to Cognite
- Technical Ownership & Execution: Lead the implementation of scalable full-stack solutions. You’ll leverage AI-native development workflows (e.g., Cursor, GitHub Copilot) to solve complex problems from concept to deployment, ensuring high code quality and modern engineering standards.
- Customer-Centric Development: Act as a technical partner for key customer accounts. You will translate business pain points into high-performing data products, bridging the gap between user needs and technical execution.
- Engineering Excellence: Champion best practices for secure coding, comprehensive testing, and robust CI/CD. You will play a key role in peer reviews and defining how AI-assisted code is integrated to maintain a balance between speed and security.
- Full-Stack Implementation: Design and build elegant APIs (Python) and intuitive, responsive user experiences (React/TS), ensuring the underlying infrastructure is performant and scalable.
- Data Integration: Collaborate with Data Engineers and Solution Architects to ensure backend data foundations are optimized for a seamless, "model-aware" frontend experience.
- Mentorship: Act as a technical mentor to mid-level and junior engineers, sharing documentation and best practices to elevate the team’s collective competence.
Required Qualifications
- 5+ Years of Engineering Craftsmanship: Strong expertise in TypeScript/JavaScript, React, and Python, with a proven history of building and maintaining industrial-grade SaaS products.
- The "Delivery" Mindset: A track record of shipping high-impact features and applications that drive real customer adoption.
- AI & GenAI Fluency: Experience with AI/ML products or integrating Generative AI into workflows is a significant plus.
- Data-Aware Design: Strong experience connecting frontends to complex data foundations (via GraphQL or REST), with a focus on performant state management and the visualization of large datasets.
- Problem Solving: Demonstrated ability to navigate ambiguity, work cross-functionally, and make sound architectural trade-offs at the project level.
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
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