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Full Time Langchain Developer Jobs (NOW HIRING)

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

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 ...

Photon

AI Engineer - NY

Manhattan, NY · On-site

Develop AI pipelines using LangChain, LangGraph, and related frameworks. * Implement prompt ... full time employees. This position is not available for independent contractors No applications ...

NavitasPartners

Contract / Full-Time Overview: We are seeking a GenAI & Agentic AI Engineer to design and deliver ... Python, PyTorch, LangChain, MLOps * Data Engineering: Databricks, Snowflake, Synapse, BigQuery

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How much do full time langchain developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for full time langchain developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What are some of the main challenges a Full Time Langchain Developer might face when integrating large language models with external data sources?

A Full Time Langchain Developer often encounters challenges such as ensuring seamless and secure integration between language models and various APIs or databases. Handling data privacy, managing latency, and maintaining the accuracy of responses when fetching or updating information from external sources are common concerns. Additionally, developers must continuously monitor and optimize prompt engineering to improve model performance and adapt to evolving project requirements. Collaboration with data engineers and product teams is also essential to address these integration complexities effectively.

What is a Full Time Langchain Developer?

A Full Time Langchain Developer is a software engineer who specializes in building applications and solutions using LangChain, an open-source framework designed to facilitate the development of applications powered by large language models (LLMs). Their responsibilities typically include integrating language models with external data sources, creating conversational agents, and automating workflows that leverage AI. Working full time means they dedicate their primary professional hours to designing, coding, testing, and maintaining LangChain-based systems. This role often requires expertise in Python, familiarity with LLMs, and understanding of prompt engineering.

What are the key skills and qualifications needed to thrive as a Full Time Langchain Developer, and why are they important?

To thrive as a Full Time Langchain Developer, you need a solid background in Python programming, experience with large language models (LLMs), and familiarity with software engineering best practices. Proficiency in using the Langchain framework, APIs, cloud platforms, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills make a candidate stand out in this role. These skills and qualities are crucial for building scalable, reliable AI-driven applications and collaborating efficiently within technical teams.
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Full Time Langchain Developer jobs near you

AI/ML Full Stack Developer (.NET Experience)

Qode

Fort Mill, SC • On-site

Full-time

Posted 10 days ago

Job description

AI/ML Full Stack Developer (.NET Experience)
Location: Fort Mill, SC
Experience: 10+ Years
Duration- Full-Time
Position Overview
We are seeking an experienced AI/ML Full Stack Developer with strong .NET expertise to join our team in Fort Mill, SC. The ideal candidate will have hands-on experience building enterprise-grade applications, integrating AI/ML solutions, developing scalable backend services using .NET technologies, and creating modern web applications.
Key Responsibilities
  • Design, develop, and maintain full-stack applications using .NET and modern JavaScript frameworks.
  • Build and integrate AI/ML solutions, including Generative AI, LLMs, AI Agents, and RAG-based applications.
  • Develop RESTful APIs, microservices, and cloud-native solutions.
  • Integrate AI platforms such as Azure OpenAI, OpenAI, AWS Bedrock, Claude, or Gemini.
  • Design and implement vector search solutions and knowledge retrieval systems.
  • Collaborate with business stakeholders to gather requirements and deliver AI-powered solutions.
  • Optimize application performance, scalability, and security.
  • Implement CI/CD pipelines and DevOps best practices.
  • Participate in code reviews, architecture discussions, and technical mentoring.

Required Skills
  • 10+ years of experience in software development.
  • Strong experience with C#, ASP.NET Core, .NET Framework, .NET 6/7/8.
  • Experience with Angular, React, or similar frontend frameworks.
  • Hands-on experience developing and deploying AI/ML solutions.
  • Experience with LLM integration, prompt engineering, embeddings, and RAG architecture.
  • Strong knowledge of SQL Server, PostgreSQL, Cosmos DB, or MongoDB.
  • Experience with REST APIs, Microservices, and Event-Driven Architecture.
  • Experience with Azure, AWS, or Google Cloud platforms.
  • Knowledge of Git, Azure DevOps, GitHub, and CI/CD pipelines.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Skills
  • Experience with Azure OpenAI, Azure AI Search, Azure Cognitive Services.
  • Experience with Semantic Kernel, LangChain, CrewAI, AutoGen, or similar AI frameworks.
  • Knowledge of Python for AI/ML development.
  • Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, or Azure AI Search.
  • Experience with Docker, Kubernetes, and container orchestration.
  • Familiarity with MLOps concepts and model deployment pipelines.

Domain Experience (Preferred)
  • Financial Services
  • Wealth Management
  • Banking
  • Insurance

Education
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.

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