LangChain
Data AI · LLM orchestration
- Website
- langchain.com
Data AI · LLM orchestration
LangChain currently has 47 active AI-related job listings. The majority of these roles, 87%, are focused on agents, with the remaining 13% in evaluation. Engineering is the primary function being hired for, with 46 positions, while Product has one listing. The United States is the dominant hiring country, with 37 roles. Frequent tech tags include agent orchestration, LLM observability, and model serving, suggesting a focus on building and managing AI agent systems. In the last 30 days, LangChain posted 5 new AI roles, representing a 78% decrease compared to the previous 30-day period.
Currently tracking 45 active AI roles, down 54% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $116k–$340k (avg $196k).
LangChain currently has 42 active AI-related roles in our index. The most common open titles are: GTM Engineer (2), Customer Engineer (West Coast), Deployed Engineer (Amsterdam), Deployed Engineer (Atlanta), Deployed Engineer (Bay Area). Most positions are in Engineering and Product.
LangChain's active AI hiring is concentrated in: agents (83%), evaluation (14%), serving infrastructure (2%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
LangChain is hiring AI talent in: United States (31 roles), United Kingdom (3 roles), Sweden (2 roles), Singapore (2 roles).
Job postings at LangChain most frequently reference: agent orchestration, llm observability, model serving, evals, guardrails.
In the past 30 days, LangChain has posted 3 new AI-related roles. That is a -89% change versus the prior 30 days (27 → 3).
| Title | Stage | AI score |
|---|---|---|
| Deployed Engineer (Sydney) LangChain is seeking a Deployed Engineer in Sydney to help companies bring AI agent ideas to production. This role involves collaborating with customers on LLM applications, providing technical demos and training, and working with sales and engineering teams to improve products. The ideal candidate has a software engineering or customer engineering background with at least 3 years of experience, enjoys working with customers, and is comfortable in a fast-paced startup environment. | Agent | 7 |