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Home Based Langchain Jobs (NOW HIRING)

AI Architect

Atlanta, GA · On-site

$120K - $150K/yr

MCP-based tool integrations for internal systems * Develop reference implementations using ... Agent orchestration frameworks (e.g., LangChain, LlamaIndex, Vertex AI Agents) * Tool-calling and ...

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Experience with frameworks like LangChain, LlamaIndex, or CrewAI. * ML & Data Tools: Solid ... Continuously monitor, troubleshoot, and debug AI system performance based on evolving business ...

Design, fine-tune, and deploy LLM-based solutions for enterprise use cases such as document ... Integrate LLMs with enterprise systems using frameworks like LangChain, LlamaIndex, or similar ...

Software Engineer, AI/ML

Atlanta, GA · On-site +1

$102K - $160K/yr

... anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint ... Develop and integrate AI/ML and LLM-based solutions-including RAG/GraphRAG architectures, vector ...

... and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language ... Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel ...

Software Engineer, AI/ML

Atlanta, GA · On-site

$102K - $160K/yr

... anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint ... Develop and integrate AI/ML and LLM-based solutions-including RAG/GraphRAG architectures, vector ...

... and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language ... Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel ...

WI · On-site

$125 - $150/hr

... home, PowerSchool supports the entire educational ecosystem as the global leader of cloud-based ... Copilot, Codex, Claude Code, Gemini, NotebookLM andStrands, LangChain, LangGraph, LlamaIndex (or ...

New

(USA) Senior, Data Scientist

Elkins, AR · On-site

$90K - $180K/yr

... and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language ... Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel ...

... and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language ... Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel ...

... and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language ... Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel ...

... and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language ... Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel ...

... and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language ... Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel ...

... and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language ... Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel ...

Showing results 21-40

Home Based Langchain information

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How much do home based langchain jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for home based langchain in the United States is $16.40, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.03 per hour, depending on experience, location, and employer.

What is the difference between Home Based Langchain vs Home Based Data Scientist?

AspectHome Based LangchainHome Based Data Scientist
Required CredentialsKnowledge of language models, AI tools, programming skillsDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentRemote, flexible, project-basedRemote, often collaborative, project-driven
Industry UsageAI development, NLP projects, chatbot creationData analysis, predictive modeling, research
Common Search IntentAI-focused, language model tasks, automationData analysis, machine learning, insights

Home Based Langchain primarily involves working with language models and AI tools for NLP and automation tasks, often requiring programming and AI knowledge. In contrast, Home Based Data Scientists focus on analyzing data, building predictive models, and deriving insights, with a background in data science or statistics. Both roles are remote and project-based but serve different industry needs and skill sets.

More about Home Based Langchain jobs

What cities are hiring for Home Based Langchain jobs?

Cities with the most Home Based Langchain job openings:

What are the most commonly searched types of Langchain jobs?

The most popular types of Langchain jobs are:

What states have the most Home Based Langchain jobs?

States with the most job openings for Home Based Langchain jobs include:

Infographic showing various Home Based Langchain job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $34,121 per year, or $16.4 per hour.

Senior GenAI Architect

Centillion Infotech LLC

Charlotte, NC • On-site

$150 - $200/hr

Other

Posted 13 days ago


Key responsibilities

  • Design and develop end-to-end AI/ML solutions, including data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.

  • Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks using tools such as LangChain and LangGraph.

  • Collaborate with stakeholders to translate requirements into scalable AI-driven technical solutions and guide engineering teams in implementing AI components.


Job description

WW2W2 Only (No C2C)Job Description:About the Role

The Gen AI Architect will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG).

The RoleResponsibilities:
  • Define and drive the AI/ML architecture and roadmap, including both traditional machine learning and Generative AI (GenAI) use cases.
  • Design comprehensive end-to-end AI solutions covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
  • Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, utilizing tools such as LangChain, LangGraph, or similar.
  • Develop and deliver cutting-edge AI/ML solutions, incorporating genetic AI techniques, innovative design principles, and scalable deployment strategies.
  • Gain a good understanding of traditional AI/ML approaches and leverage this knowledge to create robust, hybrid solutions.
  • Collaborate with business stakeholders to translate requirements into scalable AI-driven technical solutions.
  • Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries based on use case needs and industry best practices.
  • Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design.
  • Guide engineering teams in the implementation of AI components, emphasizing scalability, reliability, and performance optimization.
  • Partner with DevOps teams to establish CI/CD pipelines for AI, including model versioning, deployment automation, and ongoing A/B testing.
  • Keep abreast of the latest industry research, breakthroughs, and emerging trends in AI, including tracing frameworks, LLM observability, and other innovative areas, recommending adoption of best practices and solutions.
Requirements:
  • Experience in leading AI/ML architecture and strategy in enterprise environments.
  • Strong expertise in designing and deploying large-scale AI/ML solutions, including LLMs, RAG frameworks, and genetic AI techniques.
  • Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar.
  • Agentic AI experience: design, develop, and deliver tracing frameworks and LLM observability solutions.
  • Deep understanding of data workflows, feature engineering, model training, evaluation, and deployment.
  • Good understanding of traditional AI/ML concepts, alongside expertise in generative AI and related frameworks.
  • Hands-on experience with AI/ML model observability, tracing frameworks, and monitoring solutions.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and services tailored for AI deployment.
  • Familiarity with model governance, security, explainability, and ethical AI standards.
  • Experience in developing CI/CD pipelines for AI/ML, including model versioning, monitoring, and performance tuning.
  • Strong problem-solving, communication, and stakeholder management skills.
Preferred, but not required:
  • Advanced degree (Ph.D., Master's) in Computer Science, Data Science, AI, or related fields.
  • Publications or practical contributions to AI research and open-source projects.
  • Experience working in regulated industries or environments requiring compliance and governance.
  • Familiarity with project management and Agile practices.

Flexible work from home options available.

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