In this role, you would
- We're seeking an experienced Front End Engineer to join our AtlasAI co-innovation team building cutting-edge industrial agents and workflows.
- Architect and build responsive, modern web applications using React and TypeScript that integrate with large language models through Cognite’s Data Fusion
- Design, develop, and implement full-stack generative AI solutions with a strong focus on AI agents, multi-agent systems, and the latest generative AI technologies to drive business innovation and enhance customer experiences
- Collaborate with solution architects, data engineers, and domain experts to develop scalable AI agents that integrate seamlessly with existing systems Implement best practices for software development, including Git workflows and CI/CD pipelines to meet robust quality criteria
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for generative AI solutions while actively contributing to product strategy and technical decision-making
- Engage with customers and stakeholders in a forward-deployed capacity, co-innovating and shaping solutions that address real business needs
We believe most of these should match your experience
- 5+ years of Product development experience in software engineering with a focus on GenAI/ML applications
- Proficiency with working in full-stack contexts, using languages such as JavaScript/TypeScript and Python, or other relevant programming languages.
- Proficiency with React framework
- Experience using debugging tools to diagnose and resolve complex issues.
- Familiarity with knowledge graphs, graph databases (GraphQL, Neo4j, etc.) or related technologies
- Familiarity with cloud deployment environments (AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Experience in developing and deploying multi-agent systems, preferably using frameworks like LangChain
- Understanding of multi-agent frameworks, including agent communication, decision-making, and learning strategies.
- Experience with REST API development and integration.
- Experience with Python ML/AI frameworks and SDKs
- Strong problem-solving skills and the ability to think critically about complex systems.
- Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
- Ability to work in a fast-paced, collaborative environment and manage multiple priorities.
- Proficiency in reading and writing data in various formats (CSV, JSON, SQL) and using storage tools like SQLite and SQL databases.
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What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies.
We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis.
We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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