Cognite is looking to push the technical boundaries of what's possible with industrial GenAI by designing and optimizing advanced AI models and agent architectures that interact with complex, real-world industrial data. The goal is to build smart, scalable AI components that power next-generation industrial workflows.
Requirements
- 3+ years of experience in AI/ML engineering, with hands-on delivery of models.
- Proficiency in working with foundation models (LLMs), including: Prompt engineering, evaluation, and (when relevant) fine-tuning.
- Proficiency in working with foundation models (LLMs), including: RAG pipelines and integration with knowledge bases or vector databases.
- Strong Python skills with experience using frameworks such as LangChain, Transformers, or similar.
- Understanding of cloud-native development, model training workflows, and ML pipeline orchestration (e.g., data labeling, feature selection, model retraining).
- Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.
- Experience with Cognite Data Fusion (CDF).
Responsibilities
- Design and apply foundation models to domain-specific tasks, focusing on prompt engineering, reasoning workflows, and tool use with attention to accuracy, robustness, and real-world applicability.
- Develop modular, production-ready agent workflows integrated with CDF and ATLAS AI, leveraging tools, memory, reasoning chains, and APIs.
- Evaluate and integrate new GenAI tools, open-source frameworks, and APIs into ATLAS AI workflows.
- Benchmark performance, tune retrieval and reasoning pipelines, and ensure scalability in real-world industrial deployments.
- Work with solution engineers and customer teams to align models and agent behaviors with business value and industrial constraints.
Other
- A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by doing.
- Deep curiosity, and the ability to adapt cutting-edge research into usable, high-impact solutions.
- Strong ownership, going beyond comfort zones to contribute to the greater good.
- Relentless in the pursuit of innovation, determined and deliverable.
- Ability to work closely with solution engineers, product teams, and customer data.
