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Entry Level Langchain Developer Jobs (NOW HIRING)

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

This training-based, early-career role is ideal for entry level candidates eager to grow into hands ... Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with ...

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

$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 ...

All JobsLangchain Developer JobsEntry Level Langchain Developer Jobs

Entry Level Langchain Developer information

See salary details

$29.5K

$100.3K

$241.5K

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

As of Aug 17, 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.

More about Entry Level Langchain Developer jobs

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Cities with the most Entry Level Langchain Developer job openings:

What are the most commonly searched types of Langchain Developer jobs?

The most popular types of Langchain Developer jobs are:

What states have the most Entry Level Langchain Developer jobs?

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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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Associate AI Developer

iSoftStone

White Plains, NY • On-site

$20/hr

Other

Re-posted 22 days ago

Job description

Description
iSoftStone, Inc. is seeking an Associate AI Developer to join our Team
In New York, NY, Seattle, WA or Dallas, TX (Hybrid opportunity)
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.**
Summary:
iSoftStone, Inc. is seeking an Associate AI Developer to help build and ship production-grade AI services. This training-based, early-career role is ideal for entry level candidates eager to grow into hands-on AI engineers, working alongside senior developers on real client projects spanning agentic applications, orchestration, observability, and computer vision-across a cloud-agnostic stack.
Responsibilities:
  • Build AI services: Develop and help deploy services and microservices that integrate LLMs and classical ML (real-time APIs, batch, and event-driven workloads).
  • Agentic & orchestration: Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with structured I/O via Pydantic.
  • Vision & deep learning: Help develop and integrate CNNs and vision models (classification, detection, OCR) into production pipelines.
  • Observability: Instrument services with logging, tracing, and evaluation hooks; help monitor quality, latency, cost, and drift.
  • Cloud-agnostic delivery: Build AI integrations on AWS, Azure, or NVIDIA tooling-and with open-source models-favoring portable, well-tested code.
  • Quality & collaboration: Write tests from specs, join code reviews and design discussions, and respond constructively to feedback.

Qualifications:
  • Education: entry level from, a degree/certificate program in Computer Science, AI/ML, Data Science, Engineering, or a related field.
  • Experience: Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal projects) developing software or AI applications.
  • AI cloud services: Hands-on exposure building AI services and integrations with one or more of: AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton), or open-source (LangChain, Pydantic, Python).
  • Programming: Solid Python foundation plus software engineering fundamentals (version control, testing, APIs, clean code).
  • Mindset: Cloud-agnostic and portability-minded; strong problem-solver; open to learning and feedback in a fast-paced environment.

Preferred Skills
  • Familiarity with agentic patterns, tool-use orchestration, or the Model Context Protocol (MCP); RAG and vector search (Pinecone, Weaviate, FAISS).
  • Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD.
  • Prior internship, capstone, or project work involving AI, data, or cloud services
  • Education
    BS/MS/certificate program in Computer Science, Engineering, AI/ML, Data Science or related field; equivalent experience considered.

Primary Location Pay Range: $20 per hour
iSoftStone is a global IT service and consulting company that creates value and drives success through technology solutions, service excellence, and digital innovation. We specialize in web and application development, software testing and support, data and content management, digital experience, accessibility, and data for machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide, iSoftStone is proud to serve some of the world's most well-known businesses, including 90+ Fortune Global 500 companies.
Visit us at ;br>
iSoftStone is committed to the practice of equal opportunity for all its employees and applicants in employment, and does not discriminate on the basis of race or ethnicity, color, age, national origin, religion, creed, marital status, sex, pregnancy, gender, gender identity, sexual orientation, status as an honorably discharged veteran or disabled veteran or military status, political affiliation or belief, citizenship/status as a lawfully admitted immigrant authorized to work in the United States, or presence of any physical, sensory, or mental disability. In addition, reasonable accommodation will be made for known physical or mental limitations for all otherwise qualified persons with disabilities.

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