LangChain Engineer — Mid to Senior Level
Remote | Contract-to-Hire
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.
What You'll Do
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
What We're Looking For
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:
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
Nice to Have
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
Education
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.
