About this opportunity
Gofractional lists this Senior LangChain Engineer opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
Employment Details
Location: Denver, Colorado
Employment Type: Full time
Location Type: Hybrid
Department: Engineering
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.