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.