> 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.

# Forward Deployed AI Engineer

Canonical URL: https://nextmove.md/fde/jobs/814f702899aee46e

Tribe AI posts a FDE role to build what the customer runs in US with no pay posted. Forward Deployed AI Engineer embedded with enterprise clients to build and deploy production AI systems. Read from the employer’s posting on November 8, 2026.

- [Tribe AI](https://nextmove.md/fde/companies/tribe-ai)

Posted Jan 29, 2026 by Tribe AI · open on Ashby as of Nov 8, 2026

Pay not posted US Remote Full-time

Forward Deployed AI Engineer embedded with enterprise clients to build and deploy production AI systems.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F814f702899aee46e&placement=top)
- [View posting at Tribe AI](https://jobs.ashbyhq.com/tribe-ai/674bb613-e240-40a9-a6f0-dc5443b00b11/application)

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

Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

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

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** engineering experience shipping AI/ML systems into production

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior 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 Tribe AI

Posted by Tribe AI on Jan 29, 2026

### About Tribe AI:

At Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate — but many don’t have the capabilities to do it. That gap is our opportunity.

We’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world.

### About the Role

We’re looking for a Forward Deployed AI Engineer to lead our most mission-critical client engagements. This is not a lab role - you’ll be embedded with enterprise clients, building and deploying AI solutions where the problems are messy, the stakes are high, and the environment is rarely “ideal.”

You’ll be the one who makes things work in the real world: taking designs from architects, wrestling them into production, and ensuring they scale reliably under real constraints. If you thrive on chaos, love solving problems end-to-end, and want your code to matter outside of demos, this role is for you.

### Key Responsibilities:

### Client Engagement & Delivery

- Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.
- Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools.
- Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.

### Solution Implementation

- Translate high-level designs into working components that deliver measurable outcomes.
- Debug relentlessly - optimize for reliability in production, not just elegance in code.
- Write modular, reusable code that balances speed of delivery with long-term maintainability.

### Collaboration & Enablement

- Embed with client engineering teams to accelerate adoption and integration.
- Share insights from field implementations to inform reusable components in our platform.
- Document decisions with clarity so both clients and internal teams can build on your work.

### About You:

- 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
- Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector DBs).
- Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
- Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines).
- Problem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony.
- Comfortable in client-facing environments - credible with engineers, clear with executives.

### Why Join Us:

- **Impact:** Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises.
- **Growth:** Stay hands-on with cutting-edge frameworks while developing field-tested instincts.
- **Variety:** Solve problems across industries, from finance to healthcare to defense.
- **Culture:** Work in a team that prizes resilience, creativity, and winning over process.
- **Trajectory:** Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.

[View posting at Tribe AI](https://jobs.ashbyhq.com/tribe-ai/674bb613-e240-40a9-a6f0-dc5443b00b11/application)

## About Tribe AI

Tribe AI embeds senior AI builders and a 500+ expert network in large enterprises to build, deploy, and sustain production AI systems.

Seed · 100–200 people

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