Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.
Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.
Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
About Atlas AI
Our ambition with Cognite Atlas AI is to build the framework and the industrial agents that will truly revolutionize how manufacturing and energy are operated. This framework and these agents cannot happen without Cognite Data Fusion and its industrial fluency (from data types to simulators and specialized data models on its knowledge graph).
Atlas AI has the potential to position Cognite as the operating system for industry. To ensure that we reach this goal we have to proactively engage with the market and anchor this vision with all influential stakeholders. We need to garner active support from industry leaders, government bodies and the ecosystem of suppliers and service companies to commit to the journey. This means convincing them of the uniqueness of our approach and engaging in concrete projects on the path to this vision.
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.
\n
Role and responsibilities
\n
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.
\n
We believe most of these should match your experience
\n
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.
Don’t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
A snapshot of our many perks and benefits as a Cogniter
* Competitive Compensation including base plus bonus
* 401(k) with 4% employer matching
* Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
* Unlimited PTO + flexibility to enjoy it
* 18 Company Holidays including the week between Christmas & New Years
* Paid Parental Leave Program
* Employee Stock Purchase Program (ESPP)
* Employee Referral Program
* In office catered lunches 3x per week via Colorfull Catering + Fully Stocked Fridges in the offices
* Join a team 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
* 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.
* Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world.
* We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day.
If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion.
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
Industrial data management for asset-heavy industries
No salary listed
Senior
Austin, TX, USA
Category
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Pinecone
Microsoft Azure
Python
JavaScript
SQL
Machine Learning
Docker
AWS
REST APIs
LangChain
See keywords missing in your resume
Upload your resume to see how it matches 31 keywords from the job description.
PDF, DOC, DOCX, up to 4 MB
Requirements
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.
Responsibilities
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.
Desired Qualifications
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.
About Cognite
Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge 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 digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.
Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.
Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.
Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
About Atlas AI
Our ambition with Cognite Atlas AI is to build the framework and the industrial agents that will truly revolutionize how manufacturing and energy are operated. This framework and these agents cannot happen without Cognite Data Fusion and its industrial fluency (from data types to simulators and specialized data models on its knowledge graph).
Atlas AI has the potential to position Cognite as the operating system for industry. To ensure that we reach this goal we have to proactively engage with the market and anchor this vision with all influential stakeholders. We need to garner active support from industry leaders, government bodies and the ecosystem of suppliers and service companies to commit to the journey. This means convincing them of the uniqueness of our approach and engaging in concrete projects on the path to this vision.
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.
Role and responsibilities
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.
We believe most of these should match your experience
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.
Don’t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
A snapshot of our many perks and benefits as a Cogniter
* Competitive Compensation including base plus bonus
* 401(k) with 4% employer matching
* Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
* Unlimited PTO + flexibility to enjoy it
* 18 Company Holidays including the week between Christmas & New Years
* Paid Parental Leave Program
* Employee Stock Purchase Program (ESPP)
* Employee Referral Program
* In office catered lunches 3x per week via Colorfull Catering + Fully Stocked Fridges in the offices
* Join a team 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
* 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.
* Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world.
* We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day.
If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion.
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
Cognite specializes in managing industrial data and facilitating digital transformation for asset-heavy industries like oil and gas, power and utilities, and manufacturing. Its main product, Cognite Data Fusion, integrates and organizes data from various sources, making it easier for businesses to analyze and utilize this information effectively. This process, known as data contextualization, enhances the relevance of data for better decision-making. Cognite operates on a software-as-a-service (SaaS) model, allowing clients to subscribe to its software rather than purchasing it outright. This model not only provides a consistent revenue stream but also ensures that clients receive ongoing updates and improvements. Additionally, Cognite offers consulting services to assist clients in implementing and optimizing their software usage. The company's goal is to help industries optimize their operations through advanced data management solutions.
Company Size
501-1,000
Company Stage
Series B
Total Funding
$225.3M
Headquarters
Bærum, Norway
Founded
2016
Simplify's Take
What believers are saying
Cognite's expansion into India enhances its global footprint and market reach.
The rise of digital twins offers new opportunities for enhanced data integration.
Growing demand for sustainability drives need for Cognite's data solutions.
What critics are saying
Increased competition from local AI firms in India may threaten Cognite's expansion.
Cognite's expansion in India may face regulatory compliance and talent acquisition challenges.
High expectations from stakeholders may impact strategic decisions after Alysa Taylor's appointment.
What makes Cognite unique
Cognite's flagship product, Cognite Data Fusion, excels in data contextualization for industries.
The company supports full-scale digital transformation in heavy-asset industries globally.
Cognite's SaaS model ensures continuous software updates and improvements for clients.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Competitive Compensation + 401(k) with employer matching
Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
Unlimited PTO + flexibility to enjoy it
Paid Parental Leave Program
Learning & Development Stipends
Global Mobility & Exchange Program
Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices
Next week, Norwegian AI firm Cognite AS, which develops AI solutions for major energy companies, will launch a facility in Bangalore, creating around 100 jobs in areas like AI and machine learning.
Cognite, a global industrial AI and data company, is expanding its footprint in India with its new global capability centre (GCC) in Bengaluru in March.
Cognite AS is thrilled to be in Orlando, Florida again as a sponsor at the ARC Forum Conference happening Feb 10-13 and look forward to new insights and important conversations about industrial data & AI this year and beyond.