Level

Egen

Principal AI Engineer

Egen is hiring a Principal AI Engineer for a remote role open to applicants in United States. It pays $219k-$290k a year and Level rates it ; you can apply on Egen.

Level's read on this job

  • Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
  • The listed pay starts 19% above the typical AI engineer posting on Level.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, LLMs and LangChain.
  • Level lists 21 other open roles at Egen.

AI in this role

Set technical direction and hands-on build complex generative AI systems, agentic platforms, and RAG pipelines.

pythonllmslangchainrag
ragartificial-intelligencemachine-learningsystem-architectureagentic-platforms
About Egen:    Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.   Want to learn more about life at Egen? Check out these resources in addition to the job description.   Meet Egen Life at Egen Culture and Values at Egen Career Development at Egen Benefits at Egen   About the opportunity:   

As a Principal AI Engineer, you set the technical direction for our most complex Generative AI work — and you are personally hands-on building it. We treat AI as a software engineering discipline, and you are the person who raises that bar: architecting systems that survive contact with production, and elevating the engineers around you to do the same.

You own the hardest problems in our portfolio — agentic platforms operating at scale, foundation-model and applied-ML work, and AI in regulated, high-stakes environments where being wrong is expensive. Document intelligence and RAG pipelines are part of the toolkit, not the ceiling. You take these systems from an ambiguous business problem to a robust, scalable production service, solving for the real-world constraints — latency, reliability, cost, governance — that separate a demo from a system a client can bet on.

You are also the technical face of our engagements. You partner directly with client leadership to translate business strategy into AI architecture, shape solutions in pre-sales, and earn the trust that turns a project into a program. This role blends deep, current mastery of LLMs and ML with the judgment, communication, and consultative instinct of a senior technical leader.

How we rate this

Principal AI Engineer at Egen rates 90 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

RAGArtificial IntelligenceMachine learningSystem ArchitectureAgentic PlatformsPythonLLMsLangChain

Also common in AI engineer jobs at this level

Pay

This job starts at
$219k
Typical AI engineer job
$185k

This posting starts 19% above the typical AI engineer job. See AI engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a project where artificial intelligence was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where system architecture was part of your work. What did you do?
  5. Tell me about a project where agentic platforms was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, Artificial Intelligence, Machine learning, System Architecture, and Agentic Platforms. 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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