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Full Time Langchain Developer Jobs (NOW HIRING)

WinWire

Senior Software Engineer - Java Python AI

San Jose, CA · On-site

$143.60K - $189.30K/yr

Job Type : Full-Time / Direct Hire with WinWire : We are hiring a Senior Software Engineer to build ... Advanced LangGraph / LangChain patterns; RAG optimization, Prompt evaluation frameworks, guardrails

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

As of Jun 1, 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 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.

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.
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Full Time Langchain Developer jobs near you
Infographic showing various Full Time Langchain Developer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 5% Full Time, 84% Part Time, and 8% Contract. Highlights an 20% Physical, 1% Hybrid, and 79% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

GenAI & Agentic AI Engineer - Enterprise AI Platforms - AIRLHV

NavitasPartners

Philadelphia, PA • On-site, Remote

Full-time

Posted 4 days ago

Job description

GenAI & Agentic AI Engineer – Enterprise AI Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are seeking a GenAI & Agentic AI Engineer to design and deliver next-generation AI solutions leveraging LLMs and autonomous agents across enterprise platforms.

Key Responsibilities:

  • Design and develop GenAI and agent-based AI solutions
  • Build scalable AI systems integrated with enterprise data platforms
  • Collaborate with data engineers, architects, and business teams
  • Ensure performance, governance, and reliability of AI systems

Required Skills:

  • Strong experience in AI/ML and GenAI development
  • Cloud exposure (AWS, Azure, GCP)
  • Hands-on experience with LLMs and AI frameworks

Nice to Have / Coverage:

  • ML/AI Engineering: Python, PyTorch, LangChain, MLOps
  • Data Engineering: Databricks, Snowflake, Synapse, BigQuery
  • Cloud/Data Architecture alignment across AWS, Azure, GCP
  • AI Governance: Responsible AI and compliance considerations

For more details reach at resumes@navitassols.com.