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Home Based Langchain Jobs (NOW HIRING)

Redfish Recruiting

$130K - $171K/yr

Familiarity with tool/agent orchestration frameworks (LangChain, LangGraph, LlamaIndex, custom ... Familiarity with OpenTelemetry, distributed systems, eventing, or cloud-based observability ...

ICON

Senior Software Engineer, AI/ML

Austin, TX · On-site

$121K - $160K/yr

... the homes of the future. This role reports to the Senior Director of Software, and is based in ... LangChain.js and the various provider SDKs (OpenAI, Anthropic, etc.)) * Proficiency in Python and ...

I-Con Technology

Senior Software Engineer, AI/ML

Austin, TX

$121K - $160K/yr

... the homes of the future. This role reports to the Senior Director of Software, and is based in ... LangChain.js and the various provider SDKs (OpenAI, Anthropic, etc.)) * Proficiency in Python and ...

Bank of America

Consumer Behavior Modeler II

Charlotte, NC · On-site

$53.50 - $69.25/hr

... Leverage GenAI based tools that take natural-language queries and return insights from large ... LangGraph, LangChain, OpenAI-compatible APIs, MCP, vLLM/Triton, multi-agent orchestration, and ...

E2B

Product Engineer - AI

San Francisco, CA · On-site

$180K - $220K/yr

Part of that job is creating examples based on what we often see our users are doing and another ... Familiar with tools like AI SDK, LangChain, LlamaIndex, Haystack or Mastra. * Detail oriented with ...

ClinDCast LLC

AI Engineer

Warren, NJ · On-site +1

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 ...

Elite Connect

Software Engineer - AI

Passaic, NJ · On-site +1

AI Software Engineer (Healthcare Data & Platforms) We are a growing nursing home organization ... Develop scalable, cloud-based solutions * Apply AI tools and frameworks to automate workflows

LPL Financial

AVP, AI Solutions Engineer

Austin, TX · Hybrid

$146K - $244K/yr

Reconciliation frameworks using rule-based and AI-driven logic. * Lifecycle management workflows ... Preferences: * Familiarity with LLMs (Claude, GPT, Titan) and RAG pipelines using LangChain ...

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Home Based Langchain information

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How much do home based langchain jobs pay per hour?

As of Jun 13, 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.

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Home Based Langchain jobs near you

Senior Software Engineer

Redfish Recruiting

On-site, Remote

$130K - $171K/yr

Full-time

PTO

Posted yesterday

Job description

Job description
This role is focused on experienced, hands-on engineers who can take end-to-end ownership of complex full-stack systems-spanning TypeScript, React, Node.js, and generative AI integrations-and operate effectively in a fast-moving, early-stage environment. You will be expected to translate ambiguous product goals into reliable, scalable solutions, contribute directly to core platform architecture, and collaborate closely with product, design, and leadership to deliver real-world AI capabilities used in production by customers.
Job requirements
  • Hands-on implementation of LLM-powered systems (applications, agents, workflows).
  • Experience with RAG, embeddings, vector search, or evaluation methodologies.
  • Familiarity with tool/agent orchestration frameworks (LangChain, LangGraph, LlamaIndex, custom frameworks, etc.).
  • Understanding of model behaviour, prompting strategies, and practical guardrail patterns.
  • Strong programming ability in TypeScript, React, Node.js
  • Experience building user-facing and backend systems end-to-end.
  • Ability to contribute across the entire stack without needing months of ramp-up.
  • 5-10+ years professional engineering experience (typically senior-level).
  • Strong architecture, debugging, and performance optimization skills.
  • Familiarity with OpenTelemetry, distributed systems, eventing, or cloud-based observability concepts.

Nice to Have:
  • Exposure to evaluation frameworks, safety systems, or LLM traceability.
  • Experience with Python for AI workflows or backend services.
  • Experience with data pipelines, vector databases, or scalable ML infrastructure.
  • Contributions to open-source AI frameworks (LangChain, LlamaIndex, Transformers, etc.)

Job responsibilities
  • Design, implement, and ship production-grade Gen AI capabilities.
  • Build full-stack product features using TypeScript, React, Node.js, and modern tooling.
  • Contribute to the development of our observability and AI-tracing systems
  • Build internal frameworks and reusable components that accelerate GenAI feature delivery.
  • Take end-to-end ownership of features-from requirements shaping through implementation, testing, release, and iteration.
  • Operate autonomously in ambiguity, making pragmatic engineering decisions aligned with product goals.
  • Diagnose and improve performance, reliability, and quality of AI-driven systems.
  • Partner closely with Product, Design, and other Engineers to shape solutions.
  • Participate actively in code reviews, architectural discussions, and internal technical debates.

Job benefits
  • Fully remote, work from home environment
  • Employee Share Option Plan
  • Flexible working hours
  • Paid Time-Off
  • Periodic in-person offsites globally (travel permitting)
  • Continued education support
  • Advancement opportunity

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