Senior Langchain Engineer

Senior LangChain Engineer

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:

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

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.