Fullstack Software Engineer, Applied AI
LangChainSan Francisco, CA, United States22 hours ago
Job type
- Full-time
Job descriptionImplement AI workflows and applications end-to-end, from design and architecture through production deployment. Design and iterate on novel agent architectures to solve real-world tasks. Build and maintain evaluation pipelines to test and improve agent performance. Stay current on emerging AI trends and translate them into actionable solutions and technical guidance. Clearly explain technical concepts and outcomes to both technical and non-technical stakeholders. (Marketing track) Partner closely with Marketing / GTM teams to identify high-impact opportunities for AI adoption and communicate measurable business value. (Core track) Collaborate with product and engineering to ship new customer-facing AI products and internal tools that expand what LangChain can offer. 3+ years of software engineering experience including 1+ year building AI applications professionally. Experience implementing evaluations for agents / workflows. A subject matter expert in the components that make up an AI application, and how / when to best utilize each : prompting / context engineering, retrieval methods, agent architecture, LLM inference APIs & what LLMs perform best in specific tasks (e.g. Gemini for multimodal). Strong coding skills in Python or TypeScript, ideally both. Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders. Startup DNA. The ability to thrive in a fast-moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and help drive the future success of the company. A naturally curious person, always interested in learning new skills and growing as an engineer. Expertise in LangChain / LangGraph. Experience in Applied AI research roles. Experience building full-stack applications end-to-end, including both design / frontend & backend implementation. Proficiency in both Python and TypeScript. Experience maintaining open-source projects. Hiring onsite in San Francisco (preferred), NYC, or Boston 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 : $170-195,000 Seniority level : Mid-Senior level Employment type : Full-time Job function : Engineering and Information Technology Industries : Technology, Information and Internet
Overview
Join to apply for the Fullstack Software Engineer, Applied AI role at LangChain .
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
- Applied AI Core External Products & Internal Tools : Build AI-powered workflows, agents, and full-stack applications that power our customer-facing products and internal teams. Much of this work is open source and contributes directly to the LangChain / LangGraph ecosystem.
- Applied AI Marketing : Build LangChain- and LangGraph-powered agents that make our marketing, sales, and growth teams more efficient. Work closely with Marketing Ops, Sales Ops, Growth, and Data to design, prototype, and deploy agents that automate workflows, run analysis, and accelerate pipeline generation.
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