ABOUT COGNITE

Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

WHAT WE’RE LOOKING FOR (MUST HAVE SKILLS):

• 3+ years of experience in software engineering, AI solution architecture, or similar roles.
• Proven hands-on experience with GenAI systems (LLMs, embeddings, prompt chaining, etc.).
• Experience building LLM-driven or agent-based applications (e.g., LangChain).
• Solid full-stack development skills, including:
• Frontend: React (or similar frameworks) for building interactive UIs.
• Backend: Python (or similar) for data orchestration and API integration.
• Ability to work across the stack and own the delivery of functional, user-facing solutions.
• Strong communication and storytelling skills for both technical and executive audiences.
• Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.
• A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by doing.

BONUS SKILLS:

• UI/UX sensibilities for building demo interfaces and apps quickly.
• Understanding of industrial data types (e.g., time series, industrial knowledge graphs).
• Experience with Cognite Data Fusion.
• Familiarity with vector databases and RAG pipelines.
• Cloud-native development experience (AWS, Azure, etc.).
• Exposure to industrial use cases or previous work in industrial analytics or engineering domains.

• End-to-End Prototyping Build cross-stack prototypes using ATLAS AI, CDF, and open-source AI frameworks to solve real customer challenges.
• Agent Workflow Design Design and implement multi-agent workflows that combine LLMs, tool use, and reasoning over industrial data.
• Customer-Facing Execution Collaborate directly with technical teams at customer sites to refine use cases and integrate solutions in real environments.
• Interactive UI Development Build lightweight but powerful UIs that showcase value to executives and operators alike.
• System Integration Orchestrate integration between GenAI components, CDF data models, and existing customer systems using scalable software practices.
• Evangelism & Enablement Translate technical solutions into compelling narratives that inspire stakeholders across both internal and external audiences.