> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Principal AI Engineer

Canonical URL: https://nextmove.md/fde/jobs/3261fbaa1764b97e

Egen posts a principal FDE role to build what the customer runs in US with no pay posted. Sets technical direction while personally building and productionizing complex generative AI, agentic, and applied-ML systems, including for regulated, high-stakes environments. Read from the employer’s posting on November 8, 2026.

- [Egen](https://nextmove.md/fde/companies/egen)

Posted Jul 6, 2026 by Egen · open on Lever as of Nov 8, 2026

Pay not posted US Remote Full-time

Sets technical direction while personally building and productionizing complex generative AI, agentic, and applied-ML systems, including for regulated, high-stakes environments.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F3261fbaa1764b97e&placement=top)
- [View posting at Egen](https://jobs.lever.co/egen/d8b8eb1d-e278-4cac-b87d-32520b7e10a8/apply)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Staff+

- **Role**: Technical lead

### What they ask for

Experience

- **10+ years** software / AI / ML engineering

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 10+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

The work is remote from the US. Can you work from the US?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: US

- **Work arrangement**: Remote

- **Employment type**: Full-time

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## The job description from Egen

Posted by Egen on Jul 6, 2026

### 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.

### What You Will Do:

- **Set technical direction:** Own architecture for our most complex GenAI and agentic systems end-to-end, and set the standards — evaluation, observability, responsible AI — that the practice builds to.
- **Build at the frontier, hands-on:** Stay in the code where it matters most — foundation-model and embedding fine-tuning, novel agentic workflows, advanced RAG and semantic search — using Python on Google Cloud (Vertex AI), LangChain/LlamaIndex, and vector search (Vertex AI Vector Search, Pinecone, pgvector).
- **Engineer for production:** Design for latency, reliability, cost, and scale from day one; apply MLOps discipline so systems are served efficiently, monitored, and continuously improved — and actually reach production, where most AI work stalls.
- **Lead multi-step reasoning at scale:** Architect and operate agentic workflows that automate complex reasoning reliably, with the design and verification discipline that keeps multi-agent systems from cascading into failure.
- **Advise clients and shape deals:** Work directly with client leadership to understand strategy, propose state-of-the-art approaches, and shape solutions in pre-sales — the technical authority in the room.
- **Multiply the team:** Elevate senior and mid-level engineers through architecture reviews, mentorship, and setting a high, teachable bar for AI-augmented engineering.

### Your Technical Toolkit:

- **Core Languages:** Mastery of Python and shell scripting; fluency across the modern AI engineering stack.
- **AI/LLM Ecosystem:** Deep, current expertise with Google Gemini, GPT-class, and open models (LLaMA); advanced prompt engineering, fine-tuning, and evaluation.
- **Agentic Systems:** Proven experience designing and productionizing agentic and multi-step reasoning systems (MCP, tool use, orchestration) — not just prototypes.
- **Data & Search:** Expertise in vector databases (Vertex AI Vector Search, pgvector, Pinecone) and semantic search at production scale.
- **Infrastructure:** Deep hands-on experience with Google Cloud / Vertex AI and architecting scalable, resilient software systems.
- **Frameworks:** Strong command of LangChain, LlamaIndex, or equivalent orchestration layers — and the judgment to know when not to reach for them.
- **Engineering foundation:** A first-class software engineer — clean, maintainable code, full SDLC ownership, and the architectural judgment to lead others.

### Basic Qualifications:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 10+ years in software / AI / ML engineering, with a substantial track record of AI systems delivered to production at scale.
- Demonstrated technical leadership — owning architecture and setting direction across engagements or teams, not just individual deliverables.
- Proven track record of deploying GenAI and/or agentic products to production environments.
- Experience with classic machine learning (neural nets, training, tuning) strongly preferred; foundation-model or novel-model work a distinct plus.
- Strong data engineering and SQL knowledge.
- Senior client-facing experience — translating technical complexity into business value for executive stakeholders.

### Personal Attributes:

- **Ownership at scale:** You take responsibility not just for your code, but for the outcome of the system and the success of the team building it.
- **Curiosity:** The AI landscape changes weekly; you stay at the frontier and bring the team with you.
- **Consultative authority:** You earn the trust of client leadership and are the calm, credible technical voice in a high-stakes room.
- **Ethics:** You hold the line on responsible AI development and data privacy.

### Compensation & Benefits

This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:

- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses

Check out our complete list of benefits here - >https://egen.ai/people/#benefits

**Important:**All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.

### EEO and Accommodations

Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

[View posting at Egen](https://jobs.lever.co/egen/d8b8eb1d-e278-4cac-b87d-32520b7e10a8/apply)

## About Egen

Technology services company helping organizations build cloud, data, platform, and AI capabilities.

Late-stage private · 500–1000 people

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