Cognite
Full Stack Engineer Atlas AI
Cognite, Houston, Texas, United States, 77246
About CogniteEmbark 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.About Atlas AIOur 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).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 collaborate 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.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.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.Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices.A highly modern and fun working environment with sublime culture across the organization.Why choose Cognite?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 encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.
#J-18808-Ljbffr
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.About Atlas AIOur 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).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 collaborate 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.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.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.Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices.A highly modern and fun working environment with sublime culture across the organization.Why choose Cognite?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 encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.
#J-18808-Ljbffr