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Full Time Langchain Jobs (NOW HIRING)

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior ... Implement guardrails, reasoning workflows, and ReAct-based patterns within LangChain/LangGraph to ...

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior ... Implement guardrails, reasoning workflows, and ReAct-based patterns within LangChain/LangGraph to ...

Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience required along with 2-4 ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience required along with 2-4 ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience required along with 2-4 ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Santa Clara, CA (Onsite) Employment Type: Full-Time Visa Type: Not Specified Must-Have ... Hands-on experience with LangGraph, LangChain, Large Language Models (LLMs), and prompt engineering.

Charlotte, NC (onsite) Job Type: Full time Must Have Technical/Functional Skills o Bachelors or ... the Langchain framework o Experience specifically with the Open AI API, chat completions ...

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Full Time Langchain information

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$12

$17

$25

How much do full time langchain jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for full time langchain in the United States is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Full Time Langchain vs Full Time Data Scientist?

AspectFull Time LangchainFull Time Data Scientist
Required CredentialsExperience with NLP, Python, APIs, and machine learningDegree in Data Science, Statistics, or related field; Python, R, SQL skills
Work EnvironmentTech companies, AI startups, software development teamsResearch institutions, tech firms, finance, healthcare
Industry UsageAI application development, chatbot integration, automationData analysis, predictive modeling, business insights

Full Time Langchain roles focus on developing AI applications using language models and APIs, often requiring NLP and programming skills. Full Time Data Scientists analyze data to generate insights, requiring statistical and analytical expertise. While both roles involve data and programming, Langchain positions are more specialized in AI application development, whereas Data Scientists focus on data analysis and modeling.

More about Full Time Langchain jobs
What are the most commonly searched types of Langchain jobs? The most popular types of Langchain jobs are:
What states have the most Full Time Langchain jobs? States with the most job openings for Full Time Langchain jobs include:
Infographic showing various Full Time Langchain job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.

Machine Learning Engineer in Sunrise, FL (Onsite, Fulltime Only - No C2C)

Northern Base

Sunrise, FL • On-site

Full-time

Posted 21 days ago


Job description

Role -  Machine Learning Engineer
Experience Required -8+ Years
Sunrise, FL
Fulltime
 
 
 
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 GCP 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.