> 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 Engineer, Applied AI

Canonical URL: https://nextmove.md/fde/jobs/fffca4abf3ec8d1f

Pika Labs posts a FDE role to build what the customer runs in Palo Alto, CA with no pay posted. A hands-on applied AI researcher who works directly with clients to adapt generative models and build workflows that meet practical business and deployment needs. Read from the employer’s posting on November 10, 2026.

- [Pika Labs](https://nextmove.md/fde/companies/pika-labs)

Posted Nov 9, 2026 by Pika Labs · open on Ashby as of Nov 10, 2026

Pay not posted Palo Alto, CA On-site Full-time

A hands-on applied AI researcher who works directly with clients to adapt generative models and build workflows that meet practical business and deployment needs.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Ffffca4abf3ec8d1f&placement=top)
- [View posting at Pika Labs](https://jobs.ashbyhq.com/pika/3800dd06-4d34-4557-a038-b8cda5980b6c/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, 1,861 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
2. Proof of concept
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### Do you meet what the posting states?

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

The job is in Palo Alto, CA. Could you work there?

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**: Palo Alto, CA

- **Work arrangement**: On-site

- **Employment type**: Full-time

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## The job description from Pika Labs

Posted by Pika Labs on Nov 9, 2026

### About the role

At Pika, we're looking for a technically strong, client-facing AI researcher who can turn customer feedback into models and workflows that solve real business needs. You'll work directly with clients to understand what they want to achieve, identify where current model outputs fall short, and fine-tune or post-train models for their use cases. When the solution calls for more than model adaptation, you'll build the supporting workflow.

This is a full-time, hands-on, revenue-driven applied research role. Clear communication, professional client service, reliable delivery, and independent execution matter as much as technical ability. You'll help clients get value quickly, build their confidence in working with Pika, and help turn successful technical work into closed engagements and ongoing business.

### What you'll do

- Understand the client's needs. Listen carefully, ask focused questions, and translate requests and feedback into a clear problem, practical scope, and agreed success criteria.
- Adapt models for real use cases. Fine-tune and post-train models to address client needs. Prepare relevant examples and evaluation criteria, diagnose gaps, and verify that each iteration improves the outcomes the client cares about.
- Build the complete solution. Create or adapt workflows around models when needed, connecting APIs, tools, and processing steps into a usable solution that fits the client's deployment needs.
- Iterate quickly with clients. Share working results early, gather specific feedback, and make focused improvements in short cycles. Balance quality, complexity, cost, and delivery speed to keep projects moving.
- Communicate professionally. Explain technical options and limitations clearly, set realistic expectations, respond thoughtfully to requests, and keep clients informed about progress and next steps. Build a relationship that makes them want to continue working with Pika.
- Own execution and coordinate with the team. Drive day-to-day work with independence while keeping teammates aligned on requirements, priorities, progress, and blockers. Ask for input or escalate risks early when needed.
- Deliver for deployment. Help move successful experiments into usable deployments, with clear evaluation results, reproducible workflows, and the documentation needed for handoff.
- Help close client engagements. Demonstrate the solution's value, address technical concerns, and work with the team to turn successful iterations into client commitments and revenue.

### What we're looking for

- Hands-on experience fine-tuning or post-training generative AI models, with the ability to diagnose model behavior and evaluate whether an adaptation solves the intended problem.
- Strong coding and practical ML skills: you can implement experiments, work with data, debug model pipelines, and build supporting workflows.
- Excellent listening and communication skills. You can understand an ambiguous request, clarify what matters, and explain technical work to clients with different levels of expertise.
- Professional judgment, reliability, and a service mindset. You handle feedback constructively, communicate limitations honestly, take ownership of commitments, and build trust through consistent follow-through.
- Independence and ownership, combined with strong communication and collaboration within the team.
- The ability to work in fast feedback cycles, prioritize the highest-impact improvements, and connect technical decisions to client value and commercial outcomes.

### Preferred experience

- Prior professional experience in a similar client-facing AI or ML role, with end-to-end delivery from requirements and model adaptation through evaluation, integration, and deployment. This experience is strongly preferred.
- Delivering reliable AI solutions for external clients or users and supporting them through feedback and iteration.
- LoRA fine-tuning, other parameter-efficient adaptation methods, or feedback-driven post-training.
- Building model evaluation pipelines, API integrations, or workflows used in a deployed product.
- Participating in customer demos, technical pilots, or the delivery of paid projects.

### What success looks like

Success is measured by how well you serve clients, how quickly you turn feedback into useful improvements, and how reliably your work meets their deployment needs. Strong performance builds client trust, helps close engagements, encourages continued collaboration, and contributes to revenue.

[View posting at Pika Labs](https://jobs.ashbyhq.com/pika/3800dd06-4d34-4557-a038-b8cda5980b6c/application)

## About Pika Labs

AI video generation and editing platform enabling creators and enterprises to produce high-fidelity videos at scale with real-time synthesis, agentic orchestration, and seamless content creation workflows.

Series B · 50–100 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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