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Deployed Engineer (East)

LangChain

Deployed Engineer (East)

LangChain

New York, NY

·

On-site

·

Full-time

·

1mo ago

Compensation

$150,000 - $270,000

Benefits & Perks

Team events and activities

Competitive salary and equity package

Flexible work arrangements

Comprehensive health, dental, and vision insurance

Equity

Flexible Hours

Healthcare

Required Skills

Python

React

JavaScript

About Lang Chain

At Lang Chain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.

Our open source frameworks, Lang Chain and Lang Graph, see over 90+ million downloads per month and help developers build agents with speed and granular control. Lang Smith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

Lang Chain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.

About the role

  • Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps
  • Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more
  • Give technical demos the entire suite of Lang Chain's products
  • Lead trainings and workshops on best practices, targeted at developer audiences
  • Collaborate closely with the enterprise sales team to win deals
  • Collaborate closely with engineering, helping translate customer insights and feedback into product improvements
  • Lead internally- and externally-facing, special projects that dogfood our new products

How to be successful in this role

  • Engineers who love working with customers or are aspiring future founders
  • Deployed engineers / solution architects who have experience in the role at developer focused companies.
  • You have an engineering background and enjoy being a trusted partner to companies
  • You like to find a way to “make it work”. Bent towards action and service orientation.
  • You enjoy keeping up to date on the latest industry techniques
  • You’re comfortable presenting best practices to bigger teams
  • Bonus if familiar with Lang Chain or building with LLMs
  • Can thrive in a fast moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and define the future success of the company. Startup experience is a bonus.
  • Ownership minded
  • Minimum experience of 3+ years in a similar technical role: software engineering, customer engineering

Locations: WEST (San Francisco, Pacific Northwest, So Cal)

CENTRAL (Austin, Chicago, Denver)

EAST (New York, Atlanta)

EMEA (London, Amsterdam)

Compensation & Benefits

  • We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
  • Annual OTE salary range: $150,000-$270,000 USD

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About LangChain

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

Employees

San Francisco

Headquarters

$200M

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.8

Career

3.2

Management

2.3

35%

Recommend to a Friend

Pros

Working with cutting-edge AI technologies like LangChain and RAG

Hands-on experience building end-to-end AI projects

Exposure to modern applied AI development

Cons

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

Salary Ranges

9 data points

Mid/L4

Mid/L4 · Product Designer

1 reports

$178,619

total / year

Base

$155,147

Stock

-

Bonus

-

$178,619

$178,619

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 50%

Neutral 40%

Negative 10%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

Common Questions

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR