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Entry Level Langchain Jobs in California (NOW HIRING)

Entry Level Langchain information

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.

What are the most commonly searched types of Langchain jobs in California?

The most popular types of Langchain jobs in California are:

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

The top searched job categories for Entry Level Langchain jobs in California are:

What cities in California are hiring for Entry Level Langchain jobs?

Cities in California with the most Entry Level Langchain job openings:

Infographic showing various Entry Level Langchain job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Forward Deployed Engineer - Entry Level

ORDR, Inc.

Santa Clara, CA

Full-time

Re-posted 2 days ago


Job description

Ordr Inc., we secure the connected world by bringing visibility, intelligence, and control to every device - from life-saving hospital equipment to robotic arms on factory floors, ATMs in banks, and IoT systems in airports. Our AI-driven platform turns complex network data into real-time security insights for some of the world's largest and most mission-critical organizations.


We're seeking a Forward Deployed Engineer who brings a unique combination of technical coding expertise and customer understanding. You'll work directly with enterprises worldwide to deploy Ordr's AI solutions, ensuring successful adoption and delivering measurable impact.


What You'll Do

  • Collaborate with customers to understand their specific environments, data, and operational needs, translating them into effective AI deployment strategies.
  • Deploy, configure, and optimize Ordr's AI-powered platform to meet each customer's unique use cases - from hospitals and factories to banks and airports.
  • Combine your programming skills and AI/ML knowledge to tailor, automate, and enhance system integrations.
  • Work with Ordr's AI research and engineering teams to fine-tune models, validate results, and ensure production readiness.
  • Build and manage end-to-end ML pipelines for data ingestion, model deployment, and performance monitoring.
  • Present technical findings, results, and demos to both internal stakeholders and customer teams.
  • Gather feedback from real deployments to inform future product and AI model improvements.


Qualifications


Education:

  • BS or MS in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or related field


Technical Skills:

  • Strong foundation in machine learning, data analysis, and applied AI.
  • Proficiency in Python and familiarity with key AI/ML libraries (PyTorch, TensorFlow, Scikit-learn).
  • Experience with AI development and deployment tools, including:
    • MLflow, Vertex AI, or AWS SageMaker for experiment tracking and deployment
    • Hugging Face or LangChain for LLMs and generative AI
    • Docker, Kubernetes, REST APIs, and CI/CD workflows
  • Understanding of networking, cybersecurity, or IoT data is a plus.
  • Comfort with scripting, debugging, and building automations in customer environments.


Soft Skills & Mindset

  • Unique blend of coding ability and customer empathy - able to translate complex technical concepts into real-world value.
  • Clear, confident communicator who enjoys collaborating with both engineers and customer stakeholders.
  • Highly motivated, adaptable, and eager to learn from fast-paced, real-world challenges.
  • Strong analytical mindset and hands-on problem-solving approach.
  • Passion for applying AI to make a tangible difference in large-scale, real-world systems.


Why Join Ordr

  • Work directly with global customers - from world-class hospitals to industrial and financial leaders - deploying AI solutions that protect their most critical assets.
  • Be part of a cross-functional AI team bridging research, engineering, and customer success.
  • See your work move from prototype to production and real-world impact.
  • Learn from top-tier AI and cybersecurity professionals.
  • Competitive salary, stock options, and comprehensive benefits.
Employment Type: FULL_TIME