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Entry Level Langchain Developer Jobs (NOW HIRING)

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 ...

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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 Jul 27, 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 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, 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 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 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
What cities are hiring for Entry Level Langchain Developer jobs? 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? States with the most job openings for Entry Level Langchain Developer jobs include:
What job categories do people searching Entry Level Langchain Developer jobs look for? The top searched job categories for Entry Level Langchain Developer jobs are:
Entry Level Langchain Developer jobs near you
Infographic showing various Entry Level Langchain Developer job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 3% Part Time, 1% Temporary, and 13% 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.

Software Developer/Engineer (Mid-Level experience)

Thronus Group LLC

Philadelphia, PA • On-site

Other

Posted 11 days ago

Job description

Title: Software Developer/Engineer (Mid-Level experience).
Location:  Philadelphia, PA - Hybrid (Minimum 3 days in the office).
Duration: 12+ Months Contract.

Job Description:

The Software Developer/Engineer role will be building and deploying enterprise AI solutions using open-source LLMs, Python, and RAG pipelines with vector databases. The position emphasizes hands-on development, performance optimization, and secure, on-prem or air-gapped deployments, with key deliverables including a working prototype, architecture guidance, and knowledge transfer to internal teams.

Required Experience:

  • On-Prem LLM & Vector DB Implementation
  • Hands-on experience deploying open-source LLMs such as Meta Llama 3 and Mistral / Mixtral in on-prem or private environments
  • Strong proficiency in Python for LLM inference, prompt engineering, and integration
  • Experience with CPU-based inference, model quantization, and performance tuning
  • Vector Databases & RAG
    • Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector
    • Proven implementation of Retrieval-Augmented Generation (RAG) pipelines
    • Experience generating and managing embeddings and metadata filtering
  • Security & Governance
    • Understanding of data privacy, air-gapped deployments, and enterprise security requirements
    • Experience implementing access controls and audit logging

Preferred Experience:

  • Experience with LangChain or LlamaIndex
  • Exposure to Rust, Go, or C++ for high-performance services
  • Familiarity with Docker and Kubernetes for on-prem deployments
  • Knowledge of inference frameworks (e.g., vLLM, llama.cpp, Hugging Face Transformers)
  • Prior work in regulated or enterprise environments

Deliverables:

  • Reference architecture and deployment guidance
  • Working prototype (LLM + vector DB + RAG)
  • Documentation and knowledge transfer to internal teams

Thank you for your time and I look forward to your reply.

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