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Full Time Langchain Developer Jobs (NOW HIRING)

Nastech Global

GEN AI Engineer

Charlotte, NC · On-site

Charlotte, NC (onsite) Job Type: Full time Must Have Technical/Functional Skills o Bachelors or ... the Langchain framework o Experience specifically with the Open AI API, chat completions ...

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

As of May 31, 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.

Senior AI / ML Engineer - Enterprise Data & GenAI Solutions - AIRLHV

NavitasPartners

Erie, PA • On-site, Remote

$101.20K - $139K/yr

Full-time

Posted 4 days ago

Job description

Senior AI / ML Engineer – Enterprise Data & GenAI Solutions

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

Overview:

We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering, ML engineering, and cloud architecture to deliver scalable AI systems.

Key Responsibilities:

  • Build and scale ML pipelines and GenAI applications
  • Integrate AI solutions with enterprise data platforms
  • Implement MLOps frameworks for automation and governance
  • Optimize models and pipelines for performance and cost efficiency

Required Skills:

  • Strong experience in ML engineering, MLOps, and AI system design
  • Expertise in Python, PyTorch, and related ML frameworks
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Strong understanding of data pipelines and integration

Nice to Have / Coverage:

  • Experience with data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery
  • Exposure to GenAI tools (LangChain, LLM orchestration frameworks)
  • Knowledge of Responsible AI, governance, and compliance
  • Experience in enterprise-scale AI deployments

For more details reach at resumes@navitassols.com.