Full-Time

Full Stack Engineer

Confirmed live in the last 24 hours

Cognite

Cognite

501-1,000 employees

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
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.

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 Jobs

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.

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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

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
MENAFN
Mar 20th, 2025
Cognite Establishes AI Hub In Bengaluru, Eyes Major Indian Industrial Collaborations

In a strategic move, Cognite recently relocated its headquarters to the United States, reflecting its global growth ambitions.

Upper Setup
Mar 20th, 2025
Cognite Expands AI Operations in India with Major Investment

Cognite expands AI operations in India with major investment.

The Mainstream
Mar 11th, 2025
Motive Technologies to Hire 100 as AI Unicorns Expand into India

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.

Analytics India Magazine
Mar 3rd, 2025
How Cognite is Building its 'ChatGPT for Industrial AI' from Bengaluru

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
Feb 4th, 2025
Cognite at ARC Forum 2025

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.