LangChain, Inc
Fullstack Software Engineer, Applied AI
LangChain, Inc, San Francisco, California, United States, 94199
About LangChain:
At LangChain, 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, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain 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:
We're hiring
Applied AI Engineers
to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.
In this role you will own a problem space and work closely with that function to design, build, and deploy
production-grade agents, workflows, and applications
that transform how we operate. Your work will directly accelerate LangChain's mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be
open source , contributing to the
LangChain
and
LangGraph
ecosystem and setting new standards for how companies build with AI.
If you are passionate about putting AI agents into real production use cases and seeing them drive measurable business impact, this team is for you.
You will: Design, implement, and deploy
end-to-end AI workflows and agents
that solve real problems across multiple business domains. Develop and iterate on
agent architectures, evaluation pipelines, and performance frameworks
to ensure reliability and measurable outcomes. Translate
emerging AI research and tooling
into practical, production-ready solutions. Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders. Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact. Contribute to the
LangChain and LangGraph ecosystem , including open source components, documentation, and shared tools. How to be successful:
Experienced software engineer with a strong track record shipping
AI or ML-powered applications
(typically 3+ years, including at least 1 year building LLM systems in production). Hands-on experience implementing
evaluation and monitoring systems
for agents or workflows. Deep understanding of the components that make up an AI system:
prompting, retrieval, orchestration, inference APIs, and model selection
across modalities. Strong coding skills in
Python
or
TypeScript
(ideally both). Excellent communicator who can
simplify complex technical ideas
for diverse audiences. Thrives in a
fast-moving, ambiguous startup
environment; enjoys identifying the highest-impact problems and driving them to completion. Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI. Nice to Have: Expertise with
LangChain
or
LangGraph . Experience building or maintaining
open source projects . Background in
applied AI research
or agentic workflow development. Full-stack experience across frontend, backend, and deployment. Based in
San Francisco (preferred) ,
NYC , or
Boston .
Compensation:
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 salary range: $170,000 - $195,000
At LangChain, 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, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain 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:
We're hiring
Applied AI Engineers
to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.
In this role you will own a problem space and work closely with that function to design, build, and deploy
production-grade agents, workflows, and applications
that transform how we operate. Your work will directly accelerate LangChain's mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be
open source , contributing to the
LangChain
and
LangGraph
ecosystem and setting new standards for how companies build with AI.
If you are passionate about putting AI agents into real production use cases and seeing them drive measurable business impact, this team is for you.
You will: Design, implement, and deploy
end-to-end AI workflows and agents
that solve real problems across multiple business domains. Develop and iterate on
agent architectures, evaluation pipelines, and performance frameworks
to ensure reliability and measurable outcomes. Translate
emerging AI research and tooling
into practical, production-ready solutions. Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders. Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact. Contribute to the
LangChain and LangGraph ecosystem , including open source components, documentation, and shared tools. How to be successful:
Experienced software engineer with a strong track record shipping
AI or ML-powered applications
(typically 3+ years, including at least 1 year building LLM systems in production). Hands-on experience implementing
evaluation and monitoring systems
for agents or workflows. Deep understanding of the components that make up an AI system:
prompting, retrieval, orchestration, inference APIs, and model selection
across modalities. Strong coding skills in
Python
or
TypeScript
(ideally both). Excellent communicator who can
simplify complex technical ideas
for diverse audiences. Thrives in a
fast-moving, ambiguous startup
environment; enjoys identifying the highest-impact problems and driving them to completion. Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI. Nice to Have: Expertise with
LangChain
or
LangGraph . Experience building or maintaining
open source projects . Background in
applied AI research
or agentic workflow development. Full-stack experience across frontend, backend, and deployment. Based in
San Francisco (preferred) ,
NYC , or
Boston .
Compensation:
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 salary range: $170,000 - $195,000