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Langchain Developer Jobs in Florida (NOW HIRING)

Intraedge

Machine Learning Engineer

Sunrise, FL · On-site

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite ... Design agentic workflows using LangChain and LangGraph. Implement short-term and long-term memory ...

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How much do langchain developer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for langchain developer in Florida is $39.49, according to ZipRecruiter salary data. Most workers in this role earn between $30.19 and $48.32 per hour, depending on experience, location, and employer.

What is a Langchain Developer job?

A Langchain Developer specializes in building applications using LangChain, a framework for developing AI-driven applications that leverage large language models (LLMs). Their role involves integrating LLMs with data sources, optimizing prompt engineering, and designing workflows for chatbots, automation, and knowledge retrieval. They often work with Python, APIs, and vector databases to enhance AI capabilities. The job requires expertise in natural language processing (NLP), machine learning, and cloud services.

What are some typical challenges faced by Langchain Developers and how do teams address them?

Langchain Developers often encounter challenges such as integrating new language models, ensuring data privacy, and maintaining prompt accuracy in dynamic real-world scenarios. Teams commonly address these difficulties by collaborating closely with data scientists, regularly updating their knowledge of evolving AI frameworks, and implementing robust testing protocols to ensure quality results. Continuous learning and knowledge-sharing within the team are encouraged so developers can quickly adapt to changes in technology or requirements. Additionally, cross-functional meetings and code reviews are held to align development with organizational goals and best practices. These efforts help ensure that projects remain innovative and effective while minimizing potential roadblocks.

What are the key skills and qualifications needed to thrive in the Langchain Developer position, and why are they important?

To thrive as a Langchain Developer, you need strong programming skills in Python, experience with large language models (LLMs), and a solid understanding of conversational AI workflow. Familiarity with tools and platforms such as LangChain, vector databases (e.g., Pinecone, FAISS), cloud services, and API integrations is commonly required. Excellent problem-solving, communication, and collaboration skills help you adapt to fast-paced AI projects and work effectively with cross-functional teams. These competencies are essential for designing, implementing, and optimizing advanced AI-powered applications that deliver real business value.

What are the most commonly searched types of Langchain Developer jobs in Florida? The most popular types of Langchain Developer jobs in Florida are:
What are popular job titles related to Langchain Developer jobs in Florida? For Langchain Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Langchain Developer jobs in Florida look for? The top searched job categories for Langchain Developer jobs in Florida are:
Langchain Developer jobs near you

ML Engineer (GenAI, LLMs, LangChain, LangGraph)

Stanley David and Associates

Sunrise, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title:  ML Engineer                                        
Location:   Sunrise, FL  
Job Type: Fulltime
 
Job Description:
 
Must Have Technical/Functional Skills:
 
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
• Implement short-term and long-term memory strategies for LLM-based systems.
• Optimize prompts, retrieval pipelines, and orchestration logic.
• Collaborate with product and platform teams to deliver scalable AI solutions.
Required Qualifications 
• Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
• Hands-on experience with LangChain and/or LangGraph.
• Solid understanding of LLM memory architecture and state management.
• Proficiency in Python and ML engineering best practices.
Nice to Have
• Experience with Google Cloud Platform services (e.g., Vertex AI, BigQuery, GCS).
• Experience deploying ML/GenAI systems in production environments.
• data scientist
• Can do ML model
 
Roles & Responsibilities
• Design, develop, and deploy GenAI applications using LLMs.
• Build and implement agentic workflows using LangChain/LangGraph.
• Develop ML models and production-ready AI solutions.
• Implement and manage LLM memory and state management strategies.
• Optimize prompts, retrieval pipelines, and orchestration workflows.
• Collaborate with product and platform teams to deliver scalable AI solutions.
• Deploy, monitor, and maintain AI/ML systems in production environments.
• Evaluate and integrate open-source and proprietary LLMs.

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