Full Stack Engineer, Cognite
Atlas AI
+ Bonus + Employee Stock Purchase Program
AI-powered industrial DataOps platform
Be an early applicant
AI-powered industrial DataOps platform
501-1000 employees
Be an early applicant
+ Bonus + Employee Stock Purchase Program
501-1000 employees
Company mission
To power high-tech, sustainable, and profitable industrial future.
Role
Who you are
- 5+ years of experience in software engineering, with a focus of at least 2+ years in AI and 1+ years on Generative AI, machine learning, or intelligent systems
- Proven experience in developing and deploying multi-agent systems, preferably using frameworks like LangChain. (Mandatory experience)
- Experience with knowledge graphs, graph databases, or related technologies
- RAG Architecture Understanding: In-depth knowledge of Retrieval-Augmented Generation (RAG) systems, integrating retrieval with generative models to produce informed responses
- Model Integration and Fine-Tuning: Experience in integrating and fine-tuning pre-trained models with retrieval systems in RAG pipelines for enhanced performance
- Proficiency in Python, JavaScript, or other relevant programming languages
- Deep understanding of multi-agent frameworks, including agent communication, decision-making, and learning strategies
- Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes)
- Experience with API development and integration
- 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
- Experience in the industrial sector or with industrial data. (Not mandatory)
- Knowledge of big data technologies (e.g., Hadoop, Spark) and real-time processing frameworks
- Data Handling and Storage: Proficiency in reading and writing data in various formats (CSV, JSON, SQL) and using storage tools like SQLite and SQL databases
What the job involves
- The Atlas AI team and more specifically its deeply technical co-innovation team will execute the delivery of co-innovation projects on Cognite Data fusion leveraging Atlas AI.
- The Technical Senior Full Stack Engineer will be part of the co-innovation pod that will closely engage with strategic clients to extend Atlas AI capabilities to deliver innovative solutions and expand our understanding of GenAI value for Industry
- As a Full Stack Developer Atlas AI, you will work on building cutting edge Industrial agents and GenAI powered solution for selected strategic customers
- You will closely with the Senior Full Stack Engineer Atlas AI on building custom AI solutions on top of Cognite Data Fusion for selected strategic customers
- Use AI and ML related models, and services as part of the Cognite Data Fusion SaaS platform
- Ensure that integrations are well thought out and robust Important quality criteria for the solution are met (E.g. CI/CD, logging, security)
- Develop technology components in alignment with the overall technical solution and ensure technical fit within the customer ecosystem and target architecture
- Design integration and data model using Cognite data connectors, Cognite platform components, SQL, Python/Java and Rest APIs
- Design, develop, and implement 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 cross-functional teams to understand business requirements and translate them into technical specifications for generative AI solutions
- In collaboration with Solutions architects, develop scalable AI solutions, including AI agents, that integrate seamlessly with existing systems and leverage cutting-edge technologies
- Develop and deploy AI agents capable of autonomous task execution, environment adaptation, and effective interaction with users and systems, utilizing the latest generative AI frameworks and models
- Vector Database Proficiency: Knowledge of vector databases like Pinecone, Milvus, Weaviate, or Faiss, including their architecture and use cases
- Vector Embedding Creation: Experience in generating vector embeddings from textual, visual, or other data using common industry models
- Skills in creating, managing, and optimizing indexes for efficient similarity search within vector databases, including knowledge of ANN search algorithms
- Data Ingestion and Querying: Proficiency in ingesting large datasets into vector databases and writing optimized queries for complex similarity searches
- Scaling and Performance Tuning: Ability to scale vector databases to handle large datasets and optimize search performance through resource management and index tuning
- Document Retrieval and Prompt Engineering: Skills in designing effective document retrieval strategies and crafting prompts that leverage retrieved documents in the generation process
- Data Pipeline and Deployment: Expertise in managing data pipelines for RAG systems, from ingestion to retrieval and generation, and deploying RAG systems at scale
Our take
Cognite is a leading global SaaS company that specialises in developing industrial software solutions, enabling asset-intensive industries to enhance their sustainability, security, and operational efficiency.
At the heart of its offerings is Cognite Data Fusion (CDF), a Generative AI Accelerator. CDF facilitates collaboration between industrial data and domain experts, enabling them to rapidly and securely develop, optimise, and scale industrial AI solutions and applications. By harnessing the power of CDF, companies can achieve both profitability and sustainability, leveraging the potential of AI to drive their operations forward.
Cognite caters to a diverse range of industries, including oil and gas, power and utilities, renewable energy, manufacturing, and other heavy-asset sectors. By maximising the potential of data, Cognite is playing a pivotal role in driving a digital transformation of heavy-asset industries.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
May 2021
$150m
SERIES B
Nov 2020
$75m
SERIES A
Total funding: $225.3m
Company benefits
- Pension plan, insurance, parental benefits, and much more
- A highly modern and fun working environment with sublime culture across the organization
- Gain perks like a paid mobile telephone subscription and broadband connection
- Get access to extended private health services with Aker Care
- A subsidized lunch at the canteen is delivered by our chefs who specialize in options for both vegetarians and non-vegetarian, salads and hot soups every day
- Stay fueled between meals with snacks and drinks on the house
- We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site
Company HQ
Fornebu, Viken
Articles
Leadership
Geir K. Engdahl
(CPO)Graduated from the University of Oslo with a Masters in Applied Mathematics. Previously founded Snapsale, where they served as the CEO and CTO. Also worked at Google as a Senior Software Engineer.
Stein H. Danielsen
(Chief Solutions Officer)Previously co-founded Cxense where they worked as the Chief Architect and KOPEK where they served as the CEO. Also worked at FAST as a Systems Engineer then the Principal of Product Development.
John M. Lervik
(Chief Strategy & Development Officer)Previously served as the CTO and CEO at FAST and founded Cxense. Also worked as the Corporate Vice President of Microsoft.
Fredrik Anfinsen
(Principal Architect)Previously founded the B2B software company, ShareMy3D where they served as the CEO.
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