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Entry Level Langchain Jobs (NOW HIRING)

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Entry Level Langchain information

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How much do entry level langchain jobs pay per hour?

As of Jun 20, 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.

Is LangChain suitable for beginners?

Entry Level Langchain roles typically require some understanding of natural language processing and Python programming. While prior experience with machine learning frameworks is helpful, many entry-level positions provide on-the-job training and value enthusiasm to learn the technology. Basic knowledge of APIs and data handling can also be beneficial for beginners entering this field.

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.

Which 3 jobs will survive AI?

Entry Level Langchain roles focus on developing and managing AI-powered language models, which are likely to remain in demand due to their complexity and need for human oversight. Jobs that involve creative thinking, complex problem-solving, and emotional intelligence, such as AI trainers, data analysts, and AI ethics specialists, are also expected to persist. These roles require skills that are difficult for AI to fully replicate, ensuring their longevity in the evolving job market.

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.

What are the key skills and qualifications needed to thrive as an Entry Level Langchain Developer, and why are they important?

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 job makes $10,000 a month without a degree?

Entry-level roles in fields like sales, real estate, or certain tech positions such as freelance software development or digital marketing can reach $10,000 monthly without a degree, often requiring strong skills, certifications, or experience. High earnings typically depend on performance, client base, or project volume rather than formal education alone.

What are entry-level Langchain jobs?

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 engineers make $500,000?

Senior engineers in high-demand fields such as software, data engineering, or specialized roles like machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and working in competitive industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups.
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What cities are hiring for Entry Level Langchain jobs? Cities with the most Entry Level Langchain job openings:
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Entry Level Langchain jobs near you
Infographic showing various Entry Level Langchain job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.
Federal AI Solutions Engineer (Entry Level)

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA • On-site

$85K - $105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

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