Latest Solutions Architecture jobs at LangChain
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Build and deliver production AI agent systems for enterprise customers through architecture advising, co-development, and embedded engineering engagements. Requires 4+ years of software engineering experience, deep Python expertise, and 2+ years shipping production agent systems.
Design and deploy production-grade AI infrastructure and agent systems for enterprise customers, combining cloud architecture, Kubernetes, infrastructure as code, LLM application development, evaluation, and technical consulting. Requires 7+ years in hands-on customer-facing technical roles and strong Python or TypeScript skills.
This hands-on technical role helps U.S. government customers design, deploy, and operate secure AI-agent systems in regulated and mission-critical environments. The engineer leads federal technical evaluations and pre-sales engagements while advising on architecture, compliance, deployment, and production operations.
Builds reusable reference architectures, integrations, and enablement programs for cloud providers and systems integrators adopting LangChain’s agent platform. The role requires 7+ years of partner-facing technical experience, strong Python and LLM development skills, and familiarity with GCP or Azure.
Delivers customer-facing AI agent solutions from technical discovery and proofs of concept through production rollout. The role requires 6+ years in a relevant technical discipline, strong architecture and developer communication skills, and experience with production AI, cloud, or related platforms.
Build and deploy production AI agents alongside customer engineering teams, leading technical evaluations, architecture, and post-sale advisory work. The role requires 6+ years of relevant technical experience, strong Python and JavaScript skills, and hands-on experience with LLM-powered applications.
Build and deploy production AI agents with customer engineering teams, leading technical evaluations, architecture decisions, and post-sale adoption. The role requires 6+ years of relevant technical experience, strong Python and JavaScript skills, and hands-on experience with agent-based or LLM-powered applications.
Deploys and co-architects production AI agent systems with customers, spanning pre-sales evaluations, implementation, and post-sale advisory work. Requires 6+ years of technical experience, strong Python and JavaScript skills, and hands-on experience with agent or LLM-powered applications.
Designs and deploys production-grade AI infrastructure and agent systems for enterprise customers in Singapore. The role combines cloud and Kubernetes architecture, agent development, evaluation, security, and hands-on technical consulting, requiring 7+ years of customer-facing technical experience.
Deployed Engineer partners with customer teams to co-build, deploy, and operate production AI agents using LangChain/LangGraph. Owns technical wins in pre-sales POCs/evaluations and provides post-sale architecture advice, demos, and best practices. Requires 3+ years technical experience, strong Python/JS, and hands-on agent design beyond basic APIs.
Designs and deploys production-grade AI infrastructure and agent systems for enterprise customers. The role combines cloud and Kubernetes architecture, agent development, technical assessments, and customer-facing implementation guidance.
Works directly with customer engineering teams to co-design, build, deploy, and operate production AI agents. The role combines hands-on software development, technical pre-sales, architecture advisory, and developer education, requiring at least three years of relevant technical experience and strong Python and JavaScript skills.