> 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.

# Deployed Engineer (Bay Area)

Canonical URL: https://nextmove.md/fde/jobs/2a596ddfc7a1ad70

LangChain posts a FDE role to prove the product works before the sale in San Francisco, CA, at $185,000–$315,000 · OTE base, above the senior FDE median of $190,000 across 1,849 postings with pay. Hands-on customer-facing engineer who co-architects, builds, deploys, and operates production AI agents with engineering teams. Read from the employer’s posting on November 6, 2026.

- [LangChain](https://nextmove.md/fde/companies/langchain)

First seen Apr 22, 2026 · open on Ashby as of Nov 6, 2026

**$185,000–$315,000 · OTE** San Francisco, CA On-site Full-time

Hands-on customer-facing engineer who co-architects, builds, deploys, and operates production AI agents with engineering teams.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F2a596ddfc7a1ad70&placement=top)
- [View posting at LangChain](https://jobs.ashbyhq.com/langchain/e773649c-4ea7-47c2-9987-74d525474e82/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

$185K–$315K Above the median

Midpoint $250K · median $190K

This job $185K to $315K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Proves it works before the sale

Balance **Mostly building**

Project stages

1. Pre-sales
2. Proof of concept
3. Implementation
4. Operations

Travel **Up to 40%**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **3+ years** relevant technical role, such as software engineering, customer engineering, solutions engineering, or founding/product engineering

Background

- **Software engineering**
- **Solutions and customer engineering**

### Do you meet what the posting states?

The posting asks for 3+ 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

- **Work arrangement**: On-site

- **Employment type**: Full-time

- **Travel**: Up to 40%

- **Pay**:

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- [Other jobs at LangChain (14)](https://nextmove.md/fde/companies/langchain)

## The job description from LangChain

### About Us

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

### About the Team

This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.

This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.

Sales Engineers sit at the intersection of **engineering, product, and go-to-market**, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.

### About the Role

You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.

### What You’ll Do

- Co-architect and co-build production AI agents with customer engineering teams
- Own the **technical win** in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement

### What You’ll Bring

- **3+ years** in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a **startup or scale-up**
- Strong ** Python, JavaScript **and systems fundamentals
- Have designed **agent-based or LLM-powered applications** beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working **directly with customers** during POCs, architecture reviews, and technical evaluations
- Can **explain technical tradeoffs clearly** and build trust with developer audiences
- Take responsibility for **outcomes**, not just recommendations
- Have a **bias toward action** and enjoy figuring things out as you go
- Are excited about **operating AI agents in production**, not just building demos

### Nice to Have’s:

- You’ve deployed **AI agents in production**, especially using **LangChain, LangGraph**, or similar frameworks
- Worked with **LLM evaluation, observability, or guardrails**
- Have experience with **cloud environments** (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have **shipped and operated production software** and are comfortable owning systems under real-world constraints

### Compensation

Annual OTE range: $185,000–$315,000 USD

### Compensation Philosophy

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.

We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

### Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

[View posting at LangChain](https://jobs.ashbyhq.com/langchain/e773649c-4ea7-47c2-9987-74d525474e82/application)

## About LangChain

Open-source and commercial platform for building, evaluating, deploying, and operating AI agents at scale.

Series B · 200–500 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
- [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area)
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