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Entry Level Langchain Developer 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 ...

IBM

... entry-level positions. You'll receive a status update email for each application, so be sure to ... LangChain, LangGraph, or similar, and AI-assisted Coding tools such as GitHub Copilot, Codex ...

IBM

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from data scientists, AI engineers, consultants, and technical mentors while ...

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Entry Level Langchain Developer information

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$29.5K

$100.3K

$241.5K

How much do entry level langchain developer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level langchain developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What is an entry level Langchain developer?

An Entry Level Langchain Developer is a software professional who works with LangChain, an open-source framework designed for building applications with large language models (LLMs). They typically assist in developing, testing, and deploying applications that leverage AI-driven conversation and automation. Entry level developers often work under the guidance of senior engineers, learning to integrate APIs, handle data pipelines, and implement prompt engineering. This role is ideal for those starting their careers in AI development, particularly in natural language processing and generative AI tools.

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, APIs, and basic concepts in machine learning or natural language processing, often supported by a relevant degree or coursework. Familiarity with the Langchain framework, experience with tools such as OpenAI APIs, and version control systems like Git are typically required. Problem-solving ability, eagerness to learn, and effective communication skills help you collaborate and adapt in evolving technical environments. These skills ensure you can efficiently build and maintain AI-powered applications while contributing positively to team projects.

What are some common challenges faced by entry level Langchain developers when integrating large language models into applications?

As an entry level Langchain developer, you may encounter challenges such as understanding the nuances of prompt engineering, managing token limits, and handling inconsistent model outputs. Collaborating with team members to design effective workflows and debugging issues related to API integration are also common hurdles. Regular communication with product managers and senior developers can help you navigate these challenges, and over time, you'll gain confidence in optimizing model performance and ensuring reliable user experiences.

What is the difference between Entry Level Langchain Developer vs Entry Level Machine Learning Engineer?

AspectEntry Level Langchain DeveloperEntry Level Machine Learning Engineer
Required CredentialsBasic programming skills, familiarity with NLP and APIsProgramming skills, basic understanding of ML algorithms, possibly a degree in CS or related field
Work EnvironmentTech companies, startups, AI-focused teamsTech firms, research labs, AI and data science teams
Industry UsageAI development, chatbot and NLP applicationsData analysis, predictive modeling, AI system development
Search & Comparison IntentUnderstanding roles in NLP and AI developmentExploring entry-level AI and ML career paths

While both roles involve AI and programming, Entry Level Langchain Developers focus on building NLP applications using Langchain, whereas Entry Level Machine Learning Engineers work on broader ML models and algorithms. The roles share similar entry requirements but differ in their specific focus areas within AI development.

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Entry Level Langchain Developer jobs near you
Infographic showing various Entry Level Langchain Developer job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Entry Level Ecosystem Engineer at IBM San Jose, CA

Feitong Buke

San Jose, CA • On-site

$70 - $90/hr

Other

Posted 4 days ago

Job description

Entry Level Ecosystem Engineer job at IBM. San Jose, CA.

Introduction

IBM is seeking a curious and hands‑on Entry‑Level Ecosystem Engineer to help bridge the gap between our cutting‑edge AI technologies and the tools developers use every day. In this role, you'll build integrations, sample applications, and developer experiences that connect IBM's AI offerings with popular frameworks like Hugging Face, LangChain, and Ollama.

  • Work on the front lines of AI innovation and developer enablement.
  • Collaborate with passionate teams across engineering, advocacy, and product.
  • Grow your skills in a supportive, inclusive, and technically rich environment.
  • Make a real impact on how developers build with AI.
Your role and responsibilities
  • Build Integrations: Develop connectors, plugins, and wrappers that integrate IBM AI services with widely used developer tools and frameworks.
  • Create Sample Applications: Design and implement example apps that demonstrate real‑world use cases of IBM AI technologies.
  • Support Developer Workflows: Identify common developer patterns and build solutions that simplify adoption of IBM offerings.
  • Collaborate Across Teams: Work with Developer Advocates, Product Managers, and Engineering teams to align on priorities and deliver high‑impact solutions.
  • Surface Developer Needs: Gather feedback from developers and communities to inform product improvements, documentation updates, and new integration opportunities.
  • Contribute to Open Source: Participate in open source projects and contribute code, documentation, and issue triage where relevant.
Required technical and professional expertise
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • Proficiency in one or more programming languages (e.g., Python, JavaScript, TypeScript).
  • Familiarity with AI/ML concepts and frameworks such as Hugging Face Transformers, LangChain, or Ollama.
  • Experience building APIs, SDKs, or developer tools.
  • Strong problem‑solving skills and attention to detail.
  • Ability to work independently and collaboratively in a fast‑paced environment.
  • Passion for hands‑on learning.
  • Experience with open source AI projects and developer communities.
Preferred technical and professional experience
  • Experience with IBM AI platforms (e.g., watsonx, IBM Cloud).
  • Familiarity with containerization (Docker), cloud services, and CI/CD workflows.
  • Contributions to open source projects or developer communities.
  • Understanding of RESTful APIs and integration patterns.
Equal Opportunity Employer Statement

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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