> 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, Post-Training

Canonical URL: https://nextmove.md/fde/jobs/3c12aeeb37e0d254

Together AI posts a FDE role to build what the customer runs in San Francisco, CA, at $270,000–$300,000 · OTE base, above the senior FDE median of $190,000 across 1,864 postings with pay. A post-training Forward Deployed Engineer partners with strategic AI customers to take fine-tuning and reinforcement-learning projects from scoping through production. Read from the employer’s posting on November 8, 2026.

- [Together AI](https://nextmove.md/fde/companies/together-ai)

Posted Oct 23, 2026 by Together AI · open on Greenhouse as of Nov 8, 2026

**$270,000–$300,000 · OTE** + equity San Francisco, CA Full-time

A post-training Forward Deployed Engineer partners with strategic AI customers to take fine-tuning and reinforcement-learning projects from scoping through production.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F3c12aeeb37e0d254&placement=top)
- [View posting at Together AI](https://job-boards.greenhouse.io/togetherai/jobs/5274195007)

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

$270K–$300K Above the median

Midpoint $285K · median $190K

This job $270K to $300K. 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
2. Proof of concept
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** Technical role in ML engineering, Applied AI, Forward Deployed Engineering, or Solutions Architecture

Background

- **Software engineering**
- **Solutions and customer engineering**
- **Forward deployed 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 job is in San Francisco, 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**: San Francisco, CA

- **Employment type**: Full-time

- **Pay**:

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### [Member of Technical Staff, Post-Training & Applied Research](https://nextmove.md/fde/jobs/790e35ccae399fab)

San Francisco, CA On-site 2mo ago

$275,000–$315,000

- [Other jobs at Together AI (1)](https://nextmove.md/fde/companies/together-ai)

## The job description from Together AI

Posted by Together AI on Oct 23, 2026

### About the role

As a Forward Deployed Engineer (FDE) focused on Post-Training, you will be a hands-on technical partner to our most strategic customers: AI teams using fine-tuning and reinforcement learning to build differentiated models on open-source foundations. FDE does not replace our Solutions Architects. You will work alongside them as the deep-domain specialist in post-training, guiding customers through data strategy, algorithm selection, experiment design, and evaluation, and sizing the compute behind it. You’ll make sure we can deliver on our post-training POCs, drive adoption of our fine-tuning and RL platform, and turn customer goals into measurable gains in model quality. Your work directly affects customer success, company growth, and the hardening of our core platform.

### Responsibilities

- **Data Strategy:** Help customers define and execute their data strategy for model post-training, diagnose data quality issues that limit model performance outcomes, and provide recommendations for data generation for post-training scale
- **Algorithm Selection:** Recommend the right post-training approach for each use case
- **Experiment Design & Hyperparameter Tuning:** Design well-controlled experiments and tracking methods; diagnose training instabilities, reward hacking, and regressions.
- **Evaluation:** Build evaluation frameworks with customers, including task-specific benchmarks, LLM-as-judge pipelines, and held-out test sets. Make sure gains are reproducibly aligned with production success metrics.
- **Model Selection:** Guide base model selection methodology ahead of post-training efforts and baseline quality evaluations to guide post-training objectives. Interest in self-directed research of newly released open source models, particularly as they relate to post-training.
- **RL Workload Sizing:** Scope and size RL and fine-tuning workloads, partner with sales and capacity teams to shape deals and capacity forecasts.
- **Strategic Customer Alignment:** Serve as the primary post-training technical point of contact for aligned strategic accounts. Lead technical execution from scoping to production and make sure we hit critical milestones.
- **Product & Research Feedback Loop:** Shape our fine-tuning and RL product roadmap with insights from the field. Contribute code, recipes, and reference implementations where needed, and drive early adoption of new features and research with strategic logos.

### Requirements

- **Experience:** 5+ years in a technical role in ML engineering, Applied AI, Forward Deployed Engineering, or Solutions Architect, with recent hands-on experience post-training LLMs.
- **Post-Training Depth:** Expert-level, hands-on experience with fine-tuning and/or RL for LLMs, including SFT, LoRA, DPO, and RL (GRPO, PPO, etc)..
- **Experimental Rigor:** Strong track record designing experiments, running ablations, and building evaluations that separate real improvement from noise.
- **Data Intuition:** Proven ability to build and iterate on training datasets
- **Model Landscape Awareness:** Broad knowledge of state-of-the-art open-source models and strong judgment on which base model to post-train for a given customer requirements
- **Coding Proficiency:** Strong Python skills; comfortable working in production environments.
- ** Experience leading complex, customer-facing technical projects**, with exceptional project management and communication skills. Able to work in a highly X-functional environment.

### About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

### Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

### Application Policy

Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.

### Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our Privacy Policy at https://www.together.ai/privacy

[View posting at Together AI](https://job-boards.greenhouse.io/togetherai/jobs/5274195007)

## About Together AI

Full-stack AI cloud for developers and enterprises to train, shape, and run open-weight models with research-optimized inference and compute.

Series C · 200–500 people

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