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Cognite

Software Engineer

Cognite is hiring a Software Engineer. Level rates it ; you can apply on Cognite.

Level's read on this job

  • On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions LangChain, prompt engineering and AI agents among its tools and skills.
  • Level classes it as a mid-level role.
  • Cognite has 53 other open roles on Level.

AI in this role

langchain
prompt-engineeringai-agents

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. 

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.


 

How you’ll demonstrate Ownership

Our Product team is at the core of developing Cognite Data Fusion® into a robust and scalable platform for solving critical industrial data problems. This work is central to transforming asset-intensive industries – making them safer, more sustainable, and more profitable. Cognite Data Fusion® makes operational data available at scale, adding immense value through advanced data processing. This empowers industries to make truly data-driven decisions. Our platform leverages many different technologies, each chosen for its ability to solve specific challenges effectively.

To build the best possible product, we believe in autonomous teams where developers, designers, and product managers work closely together. Our teams are focused on building the next-generation industrial data platform and applications across diverse industries like Oil & Gas, Manufacturing, and Power & Utility. This includes enabling all types of workflows, from advanced analytics to assisting in critical decision-making. We're a strong mix of engineers, product managers, and designers, united by a deep commitment to user experience and creating products users genuinely want to use.

Our work environment is exciting, dynamic, and intense. You'll collaborate with top-tier domain and industry experts: designers, product managers, backend developers, ML engineers, 3D developers, and business leaders. We support one another, ask incisive questions, and give constructive feedback. Our goal is to leverage our diverse strengths and backgrounds to build innovative products, think outside the ordinary, and nurture a truly great culture.

The Impact you bring to Cognite

A typical day as a Full Stack Engineer working at Cognite will contain the following tasks & responsibilities

  • Work with a wide range of systems, processes, and technologies and own and solve problems end-to-end.
  • Collaborate in a fast-paced environment involving different stakeholders and subject matter experts.
  • Using your Fullstack development skills to build tools that extract key information from documents and connect data, such that users can make the most of their industrial data
  • Design and implement elegant APIs, user experiences, and the underlying infrastructure that leverage smart algorithms and AI
  • Participate in discussions around technical direction and product improvements.
  • Work closely with our skilled users to understand their needs and build products to help them succeed.

We believe most of these should match your experience

  • You have 2-5 years of fullstack software engineering experience.
  • You write well-structured, efficient, and maintainable code and actively keep the quality of the codebase in check.
  • You can learn new coding languages and use the language that best fits the purpose. In particular, you have hands-on experience with Python and any Python backend framework (FastAPI, Flask, Django). Previous experience writing code in Kotlin is a plus.
  • You have front-end experience in frameworks like React, Angular, Vue, or something similar and a solid grasp of JavaScript and enjoy the benefits of TypeScript.
  • You have experience with some of the following:  Google Cloud Platform services, Azure, and/or AWS.  Experience with cloud infrastructure, Kubernetes, Docker, and other related technologies
  • You have experience with distributed open-source software such as Kubernetes, Kafka, PostgreSQL, Elasticsearch, and similar
  • You have a passion for emerging web technologies
  • You have experience with prompt engineering and integrating with large language models through e.g. langchain, fabric
  • You are pragmatic about unit testing, integration testing, and E2E testing.
  • You have a bachelor's degree or more in Computer Science, Computer Engineering, or similar, or equivalent experience.

A snapshot of our many perks and benefits as a Cogniter

  • Competitive compensation
  • 401(k) with employer matching
  • Competitive health, dental, vision & disability coverages for employees and all dependents
  • Unlimited PTO
  • Paid Parental Leave Program
  • Employee Referral Program
      Learn more about us           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.

How we rate this

Software Engineer at Cognite rates 81 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI agentsLangChain

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of LangChain that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, AI agents, and LangChain. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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