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Entry Level Langchain Jobs (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

LangChain / LangGraph * NLP or Computer Vision * AWS / Azure / Google Cloud Platform * Docker ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

Sembix LLC

Be Seen First

AI Engineer (Entry-Level Remote)

Houston, TX · Remote

$60K - $75K/yr

Familiarity with AI/LLM concepts: prompt engineering, API integration, or basic agentic workflows (LangChain, OpenAI API, or similar) * Comfort learning AWS basics and infrastructure-as-code concepts ...

New York Life

Associate - AI Engineer

Manhattan, NY · On-site

$92K - $115K/yr

The AI Engineer is an entry-level engineering role designed for early-career technologists who are ... RAG, MCP, agentic flow) and libraries such as LangChain/LangGraph Familiarity with machine learning ...

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Entry Level Langchain information

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$12

$16

$22

How much do entry level langchain jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level langchain in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.

What is an entry level Langchain job?

Entry-level Langchain jobs typically involve working with the Langchain framework, which is designed to help developers build applications powered by large language models (LLMs). These positions often require basic programming skills, familiarity with Python, and an understanding of how to connect LLMs with external data sources. Entry-level roles may include tasks such as implementing chatbots, integrating APIs, or creating simple workflows using Langchain. These jobs are ideal for those who are new to AI development but eager to learn and work with cutting-edge language technology.

What are the key skills and qualifications needed to thrive as an entry level Langchain developer?

To thrive as an Entry Level Langchain Developer, you need a solid understanding of Python programming, familiarity with APIs, and basic knowledge of natural language processing or machine learning concepts. Experience working with Langchain frameworks, version control systems like Git, and cloud platforms is often beneficial, while foundational certifications in Python or AI can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and troubleshoot efficiently. These skills ensure you can develop, test, and maintain AI-driven applications using Langchain, contributing to team goals and innovation.

What are some common challenges faced by entry level professionals working with Langchain, and how can they overcome them?

Entry-level professionals working with Langchain often encounter challenges such as understanding how to integrate various language models, managing dependencies between components, and debugging complex chains of tasks. To overcome these hurdles, it's helpful to start with small, modular projects to build familiarity with Langchain's workflow before scaling up. Collaborating with more experienced team members and actively participating in community forums can also accelerate learning and troubleshooting. Additionally, regularly consulting the official documentation and staying updated with new releases ensures you are using best practices.

What is the difference between Entry Level Langchain vs Entry Level Data Scientist?

AspectEntry Level LangchainEntry Level Data Scientist
Required CredentialsBasic programming skills, understanding of NLP and AI conceptsBachelor's degree in CS, statistics, or related field; some roles prefer certifications
Work EnvironmentTech companies, startups, AI-focused teamsTech firms, finance, healthcare, research institutions
Industry UsageDeveloping AI applications, chatbots, NLP toolsData analysis, predictive modeling, machine learning projects
Search & Comparison IntentUnderstanding entry-level roles in AI developmentExploring roles in data analysis and machine learning

Entry Level Langchain roles focus on developing AI applications using NLP frameworks, requiring programming and AI knowledge. Entry Level Data Scientist positions involve analyzing data, building models, and deriving insights, often requiring statistical and programming skills. Both roles are common in tech industries but serve different functions within AI and data analysis teams.

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What are the most commonly searched types of Langchain jobs?

The most popular types of Langchain jobs are:

What states have the most Entry Level Langchain jobs?

States with the most job openings for Entry Level Langchain jobs include:

What job categories do people searching Entry Level Langchain jobs look for?

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Entry Level Langchain jobs near you
Infographic showing various Entry Level Langchain job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 11 days ago

Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.

Apply