> 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 - Tech

Canonical URL: https://nextmove.md/fde/jobs/7fb4974455ba6a30

Synthio Labs posts a FDE role to build what the customer runs in San Francisco, CA and 1 more with no pay posted. A forward deployed engineer builds and deploys production AI applications for client workflows, partnering with customers and internal product and engineering teams. Read from the employer’s posting on November 8, 2026.

- [Synthio Labs](https://nextmove.md/fde/companies/synthio-labs)

Posted Mar 6, 2026 by Synthio Labs · open on Gem as of Nov 8, 2026

Pay not posted San Francisco, CA +1 Full-time

A forward deployed engineer builds and deploys production AI applications for client workflows, partnering with customers and internal product and engineering teams.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F7fb4974455ba6a30&placement=top)
- [View posting at Synthio Labs](https://jobs.gem.com/synthio-labs/am9icG9zdDp8yHH0IGRlNGf1VfZH3m6v)

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
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **0+ years** software engineering, AI engineering, or machine learning systems development (minimum)
- **3+ years** software engineering, AI engineering, or machine learning systems development (maximum)

Background

- **Software engineering**

### Do you meet what the posting states?

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

The job is in San Francisco, CA · New York, NY. Could you work in one of these?

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 · New York, NY

- **Employment type**: Full-time

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- [Other jobs at Synthio Labs (1)](https://nextmove.md/fde/companies/synthio-labs)

## The job description from Synthio Labs

Posted by Synthio Labs on Mar 6, 2026

** *We’re building the next generation of conversational voice and video AI for life sciences—intelligent with 100% regulatory compliance. Our AI medical experts help pharma teams engage doctors, support patients, and unlock insights faster than ever before. We’ve just raised our seed, signed our first customers, and are scaling fast. If you're excited about building real-world AI in an early stage startup and shape not just our product, but our identity and culture —this is your moment.***

** *We move like owners.*** Everyone at SynthioLabs has the autonomy and the responsibility to drive projects, challenge decisions, and push things forward. We don’t wait for permission. If you see a gap, you fill it. If you see a better way, you try it.

** *We ask “why” until we get to the root. ***We explore new ideas, research papers, every single edge case and anything that sharpens our understanding.

** *We use AI like a second brain. ***From writing code to writing docs, debugging flows to exploring new ideas, AI is part of our daily rhythm. Everyone here gets hands-on with the tools, learns how to prompt better, and treats AI as a teammate.

### Overview

We are looking for a **Forward Deployed Engineer – Tech** to work at the intersection of **AI engineering, product deployment, and client engagement**. This role partners closely with customers and internal engineering teams to build, deploy, and operationalize AI-powered applications in real-world commercial environments.

You will combine **software engineering, AI application development, and product thinking** to translate complex business workflows into scalable AI systems. The role requires hands-on experience building **AI-enabled applications, integrating LLMs, and deploying production-grade infrastructure**, along with the ability to work directly with clients to implement solutions.

This position is ideal for engineers who enjoy **building quickly, solving ambiguous problems, working directly with customers, and shipping production systems that power real-world AI applications.**

### Responsibilities

### AI Application Development

- Build AI-powered applications using **LLMs, APIs, and modern AI frameworks**.
- Design and implement workflows that combine **structured enterprise data with generative AI capabilities**.
- Develop prototypes and production-ready systems that support real-world client deployments.

### Infrastructure and Deployment

- Design and manage infrastructure required to deploy AI applications reliably and securely.
- Work with cloud environments to support **model hosting, data pipelines, and scalable application deployment**.
- Implement monitoring, performance optimization, and system reliability practices.

### Client-Facing AI Application Deployment

- Work directly with clients and internal teams to implement and customize AI-powered applications for commercial and operational use cases.
- Translate client workflows and requirements into scalable AI-driven software solutions.
- Serve as the technical bridge between client teams, product, and engineering.

### Product Collaboration

- Partner with product and engineering teams to translate client needs into scalable platform capabilities.
- Contribute to the development of reusable infrastructure and components for AI application deployment.
- Support rapid prototyping and experimentation to accelerate product development.

### Stakeholder Communication

- Work closely with client technical teams to integrate AI solutions into their environments.
- Explain technical architectures and deployment approaches to both technical and non-technical stakeholders.
- Collaborate cross-functionally across product, engineering, and founders directly.

### Education

Bachelor’s or Master’s degree in **Computer Science, Engineering, AI/ML, or a related technical field**.

### Experience

- 0–3 years of experience in **software engineering, AI engineering, or machine learning systems development**.
- Experience building applications using **Python, JavaScript, or similar languages**.
- Experience working with **LLM APIs, AI frameworks, or generative AI tooling** is preferred.
- Familiarity with **cloud infrastructure and application deployment** is preferred.

### Technical Skills

- Experience building and deploying **production software systems**.
- Familiarity with **AI application development frameworks, APIs, and model integration**.
- Understanding of **software architecture, system design, and backend services**.
- Experience with **containerization, APIs, or cloud platforms** is a plus.

### Domain Knowledge

- Exposure to **pharmaceutical or healthcare technology environments** is a plus but not required.
- Interest in applying AI systems to **life sciences commercial and operational workflows** is preferred.

### Skills

- Strong engineering and problem-solving abilities.
- Ability to build and iterate quickly in ambiguous environments.
- Comfort working in client-facing technical roles.
- Strong collaboration across engineering, product, and customer teams.

### What Makes This Role Unique

- Work directly with clients to **deploy real AI systems into production environments**.
- Build **AI-powered applications rather than just models or prototypes**.
- Blend **software engineering, AI infrastructure, and customer-facing problem solving**.
- Help build the next generation of **AI-native platforms for life sciences.**

[View posting at Synthio Labs](https://jobs.gem.com/synthio-labs/am9icG9zdDp8yHH0IGRlNGf1VfZH3m6v)

## About Synthio Labs

Synthio Labs builds multimodal AI agents and data tools for pharmaceutical field teams, healthcare professionals, patients, and market research.

Seed · 10–50 people

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