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Full Time Langchain Developer Jobs (NOW HIRING)

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 ...

Photon

Python developer - Dallas, Tx

Dallas, TX · On-site

$49.75 - $68.50/hr

Strong knowledge of LangChain, LlamaIndex, LangSmith, and LangFlow . * Experience working with LLMs ... full time employees. This position is not available for independent contractors No applications ...

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 ...

Fabrion

DevOps Engineer (Founding Team)

Bodega Bay, CA · On-site

$62.50 - $85.75/hr

San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + meaningful equity ... LangChain, LangGraph, Dust, ReAct agents) * Building retrieval-augmented generation (RAG) pipelines ...

IntraEdge

GEN AI Engineer II

Phoenix, AZ

$114K - $137K/yr

... LangChain and NLP In-depth knowledge of machine learning alogrithms, software architecture ... Employment Type: FULL_TIME

System One

AI Engineer

Salt Lake City, UT · On-site

Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • ... LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • ...

System One

AI Engineer

Salt Lake City, UT · On-site

Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • ... LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • ...

System One

AI Engineer

Salt Lake City, UT · On-site

Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • ... LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • ...

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Full Time Langchain Developer information

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

As of Jul 11, 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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What cities are hiring for Full Time Langchain Developer jobs? Cities with the most Full Time Langchain Developer job openings:
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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 July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Chesapeake, VA • Remote

Full-time

Re-posted 10 days ago

Job description

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

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