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Langchain Developer Jobs in Dallas, TX (NOW HIRING)

LangChain, Inc

Deployed Engineer (Dallas)

Dallas, TX · On-site

$200K - $250K/yr

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production ...

LangChain, Inc

Solutions Engineer (Texas)

Dallas, TX · On-site

$200K - $250K/yr

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production ...

New

LangChain

Solutions Architect (Dallas)

Dallas, TX · On-site

$62.25 - $82.25/hr

LangChain is a platform that provides open-source frameworks and tools for engineering and deploying language model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a ...

LangChain, Inc

Deployed Architect (Dallas)

Dallas, TX · On-site

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production ...

Real Soft, Inc.

AI/ML Developer

Frisco, TX · On-site

Python, TypeScript, LangChain to name a few. Must Have Required skills * AI / ML experience BEFORE ... Strong hands-on coding engineer (not just architecture or MLOps) * GitHub / Git experience * CI/CD ...

XFORIA Inc

Sr. Full stack developer

Irving, TX · On-site

Job title: Sr. Full stack developer Location: Irving, TX - 5 Days onsite 6 months - w2 contract We ... Experience with Elasticsearch is highly desirable, while knowledge of LangChain , LLMs , and vector ...

New

Marencor

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

... years of Langchain experience. * 1+ years of LLM experience building RAG systems * 1+ year ... DevOps with GitHub Actions or similar CI/CD tools. * 1+ years of writing and deploying ...

InfoVision, Inc.

Agentic AI Developer

Dallas, TX · On-site

SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on experience with SOTA LLMs, Langraph/LangChain, Knowledge management using RAGs/GraphRAGs, Vector Databases * Bonus: Redis ...

Photon

Python AI Agent Developer - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK). Ensure security, reliability, and observability ...

Photon

Python AI Agent Developer - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK). Ensure security, reliability, and observability ...

InfoVision, Inc.

Agentic AI Developer- Lead

Dallas, TX · On-site

$58.50 - $76.75/hr

Agentic AI Developer (Principal / Lead Level) Role Summary We are seeking a highly experienced ... Design and implement complex multiagent workflows using frameworks such as LangChain, LangGraph ...

Droisys

Generative AI Engineer

Dallas, TX · On-site

Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph. * Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.

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Langchain Developer information

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How much do langchain developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for langchain developer in Dallas, TX is $52.27, according to ZipRecruiter salary data. Most workers in this role earn between $39.95 and $63.99 per hour, depending on experience, location, and employer.

What is a Langchain developer?

A Langchain Developer specializes in building applications using LangChain, a framework for developing AI-driven applications that leverage large language models (LLMs). Their role involves integrating LLMs with data sources, optimizing prompt engineering, and designing workflows for chatbots, automation, and knowledge retrieval. They often work with Python, APIs, and vector databases to enhance AI capabilities. The job requires expertise in natural language processing (NLP), machine learning, and cloud services.

What are some typical challenges faced by Langchain developers and how do teams address them?

Langchain Developers often encounter challenges such as integrating new language models, ensuring data privacy, and maintaining prompt accuracy in dynamic real-world scenarios. Teams commonly address these difficulties by collaborating closely with data scientists, regularly updating their knowledge of evolving AI frameworks, and implementing robust testing protocols to ensure quality results. Continuous learning and knowledge-sharing within the team are encouraged so developers can quickly adapt to changes in technology or requirements. Additionally, cross-functional meetings and code reviews are held to align development with organizational goals and best practices. These efforts help ensure that projects remain innovative and effective while minimizing potential roadblocks.

What are the key skills and qualifications needed to thrive as a Langchain developer?

To thrive as a Langchain Developer, you need strong programming skills in Python, experience with large language models (LLMs), and a solid understanding of conversational AI workflow. Familiarity with tools and platforms such as LangChain, vector databases (e.g., Pinecone, FAISS), cloud services, and API integrations is commonly required. Excellent problem-solving, communication, and collaboration skills help you adapt to fast-paced AI projects and work effectively with cross-functional teams. These competencies are essential for designing, implementing, and optimizing advanced AI-powered applications that deliver real business value.

What are the most commonly searched types of Langchain Developer jobs in Dallas, TX?

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For Langchain Developer jobs in Dallas, TX, the most frequently searched job titles are:

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Langchain Developer jobs near you
Infographic showing various Langchain Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $108,721 per year, or $52.3 per hour.

AI/ML Engineer Python, LangChain & Google ADK

K Anand Corporation

Dallas, TX • On-site

Other

Posted 18 days ago

Job description

Role: AI/ML Engineer Python, LangChain & Google ADK

Location: Dallas, TX

Duration: 12 Months Contract

Job Summary:

  • We are seeking an experienced AI/ML Engineer with expertise in Python, LangChain, and Google Agent Development Kit (Google ADK) to build and deploy enterprise-grade Generative AI applications and intelligent AI agents. The ideal candidate will have strong experience with LLMs, RAG architectures, prompt engineering, and cloud-native AI solutions.

Required Skills:

  • 8+ years of software development experience with strong Python expertise
  • Hands-on experience with LangChain and Google ADK (Agent Development Kit)
  • Experience building AI agents using LLMs such as Gemini, OpenAI, Claude, or Llama
  • Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases
  • Experience with Google Cloud Platform (Google Cloud Platform), especially Vertex AI and Gemini APIs
  • Knowledge of REST APIs, microservices, and Docker
  • Experience with Git, CI/CD, and Agile development
  • Familiarity with SQL/NoSQL databases

Preferred Skills:

  • Experience with LangGraph, CrewAI, AutoGen, or similar agentic AI frameworks
  • Knowledge of Pinecone, Weaviate, ChromaDB, or FAISS
  • Experience deploying AI applications on Kubernetes or Google Cloud Platform

Responsibilities:

  • Design and develop AI-powered applications and intelligent agents
  • Build RAG pipelines and integrate LLMs using LangChain and Google ADK
  • Develop scalable APIs and backend services in Python
  • Optimize AI model performance, accuracy, and latency
  • Collaborate with cross-functional teams to deliver production-ready AI solutions
  • Follow best practices for testing, deployment, monitoring, and MLOps

Regards,

Vasu Nag

Associate- Talent Acquisition

Email:

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