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Principal Full Stack Engineer, Atlas AI

Design and develop scalable AI-driven industrial visualization applications
Phoenix, Arizona, United States
Senior
2 weeks ago
Cognite

Cognite

A technology firm specializing in industrial data operations and contextualization to drive digital transformation in asset-intensive industries.

Principal Full Stack Engineer, Atlas AI

We are looking for a visionary Principal Full Stack Engineer to join the Atlas AI team. Your work will be central to scaling out AI capabilities throughout our entire product suite, integrating intelligent agents into Cognite's core offerings. You'll help guide the architecture and development of the applications and services that bring these agents to life.

What You'll Do:

  • Shape the Architecture: Play a pivotal role in shaping the long-term technical vision for the Atlas AI platform, contributing to the critical architectural decisions that will define our future.
  • Build a World-Class UX: Remain hands-on, turning complex industrial knowledge into understandable visuals and creating an intuitive UI experience that enables users to seamlessly leverage our AI agents.
  • Evaluate & Implement AI: Work with a variety of Large Language Models (LLMs), contributing to their evaluation and benchmarking to select the best tools for complex industrial problems.
  • Mentor & Elevate: Mentor senior and junior engineers, fostering a culture of technical excellence, innovation, and continuous learning across the team.
  • Champion Best Practices: Champion and refine best practices for software development, from code quality and testing to deployment and operations in a multi-cloud environment.

Who You Are:

  • You have a mastery of computer science fundamentals and a proven track record of designing and building complex, scalable, and resilient systems.
  • You possess authoritative expertise in our primary frontend stack: TypeScript and React. While experience with frameworks like Angular or Vue is valuable, deep React knowledge is key.
  • You have extensive, hands-on experience with backend languages, particularly Python, which powers much of our backend. Experience with other languages like Kotlin, Java, or Rust is a significant plus.
  • You have deep, practical experience designing and operating large-scale systems in a multi-cloud environment (AWS, GCP, and Azure) using technologies like Kubernetes.
  • You have a profound interest in applied AI, including working with multiple LLMs, and are excited to build products that leverage the latest advancements in the field.
  • You have a proven history of mentoring engineers and leading large, impactful technical projects.
  • You excel at communicating complex technical ideas to diverse audiences and thrive in a collaborative, English-speaking environment.

Bonus Points For:

  • Experience building applications on top of AI/ML models or large language models (LLMs).
  • Knowledge of GraphQL or graph databases.
  • A demonstrated history of presenting at conferences or meetups.
  • Prior experience in industrial software, IoT, or large-scale data visualization.

Don't meet every single requirement? Studies have shown that women and people of color 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 Colorful 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
  • Paid mobile phone and Wi-Fi
  • A pet lover? Get the chance to meet Spot!

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 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.
  • Cognite Earns 2023 Microsoft Partner of the Year Award; Recognized as a Global Leader in Energy & Resources and Industrials & Manufacturing
  • Frost & Sullivan named Cognite a Technology Innovation Leader
  • Built In 2024 Best Places to Work in Austin, TX and Houston, TX
  • Cognite Recognized as 2024 Microsoft Energy and Resources Partner of the Year
  • Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins

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.

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.

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Principal Full Stack Engineer, Atlas AI
Phoenix, Arizona, United States
Engineering
About Cognite
A technology firm specializing in industrial data operations and contextualization to drive digital transformation in asset-intensive industries.