Principal AI Engineer
- Role
- AI / ML
- Experience
- Principal
- Employment
- Full-time
The listing doesn't say where it hires from. It may hire in United States (74% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: employment terms.
No BS summary
Senior hands-on AI engineer to architect and build production-grade generative AI systems, including agentic platforms and RAG pipelines, in regulated, high-stakes environments. Must be able to lead technically and advise clients directly.
Core skills
Required skills
Required languages
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.
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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.
What you'll do
- Set technical direction for complex Generative AI work
- Build production systems: agentic platforms, foundation-model and applied-ML, AI in regulated, high-stakes environments
- Architect systems that survive contact with production
- Translate business strategy into AI architecture and partner with client leadership
- Shape solutions in pre-sales and earn trust that turns a project into a program
What they require
- Deep, current mastery of LLMs and ML
- Senior technical leader with consultative instinct
- Proven ability to architect production systems, solving for latency, reliability, cost, and governance
- 6+ years? - not stated?
- Experience with document intelligence and RAG pipelines
- Excellent communication and client-facing skills
Benefits
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401(k) Employer Match
- Employee Referral Bonuses
Engineering and Product Management