Langchain Engineer

About the role

We are looking for a mid-to-senior level LangChain Engineer to join a growing AI engineering team building production-grade applications powered by large language models (LLMs). In this role, you’ll work closely with engineers and technical stakeholders to design, develop, and optimize AI-powered applications and agentic workflows. The ideal candidate has strong Python experience, hands-on experience with LangChain or similar LLM frameworks, and experience deploying applications in a major cloud environment. This is an excellent opportunity for an engineer who enjoys working at the intersection of software engineering, AI, and emerging LLM technologies and wants to have a meaningful impact on a growing team.

Responsibilities

• Design and develop production-grade AI/LLM applications using LangChain and related frameworks
• Build and integrate LLM-powered workflows, agents, and applications
• Develop scalable backend services and APIs using Python
• Integrate LLMs with external data sources, APIs, tools, and enterprise systems
• Develop solutions involving prompt engineering, retrieval-augmented generation (RAG), tool calling, and AI agents
• Deploy and maintain AI applications within a major cloud environment
• Collaborate with engineers, product stakeholders, and clients to translate business requirements into technical solutions
• Evaluate emerging AI/LLM technologies and identify opportunities to improve existing solutions
• Write clean, maintainable, well-tested code suitable for production environments
• Troubleshoot, optimize, and improve the performance, reliability, and scalability of AI applications

Requirements

• Mid-to-senior level software engineering experience
• Strong proficiency in Python
• Hands-on experience with LangChain or comparable LLM/AI application frameworks
• Experience working with at least one major cloud platform: AWS, Google Cloud Platform (GCP), Microsoft Azure
• Strong understanding of software engineering fundamentals, APIs, and application development
• Experience building or integrating LLM-powered applications
• Ability to work independently in a remote environment while collaborating effectively with a distributed team

Qualifications

A Bachelor's degree is not required if the candidate has strong relevant experience. Master's or PhD graduates with relevant hands-on experience in AI, machine learning, computer science, or a related field are encouraged to apply. This role is not intended for candidates coming directly from an undergraduate program without professional or substantial project experience.

Skills

• Experience with LangGraph
• Experience building AI agents or agentic workflows
• Experience with RAG, vector databases, embeddings, and semantic search
• Familiarity with OpenAI, Anthropic, Gemini, or other foundation models
• Experience with Docker and/or Kubernetes
• Experience with CI/CD and production cloud deployments
• TypeScript experience
• Experience working in a consulting or client-facing environment