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Langchain Developer Jobs in Texas (NOW HIRING)

Gen. AI Engineer

Fort Worth, TX · On-site

$140 - $260/hr

LangChain, LangGraph, CrewAI, LlamaIndex, FastAPI, Flask, React, Angular, Next.js * Cloud: AWS, Azure, GCP * Vector Databases: Pinecone, Weaviate, Chroma, Milvus, Azure AI Search * DevOps: Docker ...

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

The engineer will design Python-based AI workflows, optimize Azure AI Foundry deployments, and ... Develop scalable Python workflows using Azure OpenAI, Prompt Flow, LangChain, and AI Search

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

LangChain, LangGraph, CrewAI, LlamaIndex, FastAPI, Flask, React, Angular, Next.js * Cloud: AWS, Azure, GCP * Vector Databases: Pinecone, Weaviate, Chroma, Milvus, Azure AI Search * DevOps: Docker ...

Senior Java Developer - AI/ML

Dallas, TX · On-site

$119K - $155K/yr

Senior Java Developer AI/LLM Solutions Location: Dallas, TX (Onsite) About the Role We are seeking ... LangChain * LangGraph * Spring AI * Semantic Kernel * LlamaIndex * CrewAI * AutoGen (preferred ...

Sr LangGraph Developer - Only W2

Dallas, TX · On-site

$54.25 - $71.50/hr

Job Title: Sr LangGraph Developer Onsite in Dallas, TX W2 Position Job Summary: We are looking for ... Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms . Strong grasp of workflow ...

New

Lead Gen AI Engineer

Plano, TX · On-site

$85 - $110/hr

Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.). * Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS ...

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

Agentic AI Engineer

Dallas, TX · On-site

$150 - $200/hr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

Agentic AI Engineer

Dallas, TX · On-site

$150 - $210/hr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

Senior AI Engineer Agentic Systems

Plano, TX · On-site

$100K - $137K/yr

... Java, LangChain, LangGraph, RAG, model serving, evaluation, and distributed systems. Key ... DevOps, and CI/CD practices. Preferred Qualifications • Hands-on experience with agent-builder ...

New

Responsibilities: • Design and build agentic applications using Langchain or similar, integrating ... with proper prompt engineering and optimization • Implement evaluation, monitoring, and ...

Showing results 41-60

Langchain Developer information

See Texas salary details

$15

$49

$76

How much do langchain developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for langchain developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 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 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 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 most commonly searched types of Langchain Developer jobs in Texas?

The most popular types of Langchain Developer jobs in Texas are:

What job categories do people searching Langchain Developer jobs in Texas look for?

The top searched job categories for Langchain Developer jobs in Texas are:

What cities in Texas are hiring for Langchain Developer jobs?

Cities in Texas with the most Langchain Developer job openings:

Infographic showing various Langchain Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

AI Engineer

Inabia Software & Consulting Inc.

Grand Prairie, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Role: AI Engineer
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee

Numbers of Interview: 3 to 4

Mode of Interviews – Virtual

Tentative start date – ASAP

Note: Relocation assistance will be provided by Nagarro.


USD $148,500 Gross ($135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits  (No bar for a right candidate - please negotiate best and submit.

As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes:

  • Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents).
  • 15 days of Paid Time Off (PTO).
  • 10 paid holidays (including 8 fixed holidays and 2 floating holidays).
  • 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).

Must Have:

·       AI Engineer with 5+ years of experience required (No limit for a right candidate)

·       LLM/AI: Hugging Face, LangChain, Open AI API.

·       RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. 

·       Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.

·       Python, R, SQL, LLM/AI: Hugging Face, LangChain, Open AI API, RAG pipelines.

Good to have skills:

·       2-4 years working in manufacturing domain.

·       Experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.

·       Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.

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