- 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.
- 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.
- Competitive salary and benefits include a pension plan, insurance, parental benefits, and more.
- Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
- Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Gain perks like a paid mobile telephone subscription and broadband connection.
- Get access to extended private health services with Aker Care.
- Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by our chefs who specialise 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.
- Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
- 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.
- A pet lover? Get the chance to meet Spot 🐶!