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Full Time Langchain Jobs (NOW HIRING)

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS ... full time employees. This position is not available for independent contractors No applications ...

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS ... full time employees. This position is not available for independent contractors No applications ...

Automation Lead

Dallas, TX · On-site

$110K/yr

Permanent Full-Time Position Overview We are seeking an experienced Automation Lead to support the ... Imperva * Jira * LangChain * Azure OpenAI * AI/ML Automation * Vulnerability Triage

Permanent Full-Time Position Overview We are seeking an experienced Automation Lead to support the ... Imperva * Jira * LangChain * Azure OpenAI * AI/ML Automation * Vulnerability Triage

GEN AI Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

... LangChain and NLP In-depth knowledge of machine learning alogrithms, software architecture ... Employment Type: FULL_TIME

Showing results 41-60

Full Time Langchain information

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$12

$17

$25

How much do full time langchain jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for full time langchain in the United States is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Full Time Langchain vs Full Time Data Scientist?

AspectFull Time LangchainFull Time Data Scientist
Required CredentialsExperience with NLP, Python, APIs, and machine learningDegree in Data Science, Statistics, or related field; Python, R, SQL skills
Work EnvironmentTech companies, AI startups, software development teamsResearch institutions, tech firms, finance, healthcare
Industry UsageAI application development, chatbot integration, automationData analysis, predictive modeling, business insights

Full Time Langchain roles focus on developing AI applications using language models and APIs, often requiring NLP and programming skills. Full Time Data Scientists analyze data to generate insights, requiring statistical and analytical expertise. While both roles involve data and programming, Langchain positions are more specialized in AI application development, whereas Data Scientists focus on data analysis and modeling.

More about Full Time Langchain jobs

What are the most commonly searched types of Langchain jobs?

The most popular types of Langchain jobs are:

What states have the most Full Time Langchain jobs?

States with the most job openings for Full Time Langchain jobs include:

Infographic showing various Full Time Langchain job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.

Data Scientist - Gen AI ML - Tampa/Irving/ Mississauga

Photon

Irving, TX

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.

Technical Stack:

LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.

Frameworks: LangChain, LlamaIndex, and Hugging Face.

Orchestration: LangGraph and Multi-Agent Systems (MAS).

Development: Python, FastAPI, and Asynchronous Programming.

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.

Deployment: Docker, Production API management, and LLM monitoring.

Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.

Key Responsibilities:

Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.

Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.

Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.

Design and deploy high-performance, scalable backend services using FastAPI and Async Python.

Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.

Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.

Containerize and deploy AI services via Docker to production environments.

Required Qualifications:

5 years of hands-on experience building and deploying GenAI applications in a production setting.

Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).

Experience with vector search, embedding models, and advanced data retrieval patterns.

Knowledge of model fine-tuning techniques and local LLM quantization/hosting.

Familiarity with production-grade monitoring, API security, and CI/CD for ML.

Compensation, Benefits and Duration

Minimum Compensation: USD 48,000
Maximum Compensation: USD 170,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post