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Langchain Developer Jobs in Texas (NOW HIRING)

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 ...

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 ...

Lead Gen AI Engineer

Plano, TX · On-site

$85 - $110/hr

  • Medical

  • Dental

  • Vision

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 ...

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

Hands-on experience with frameworks like LangChain, LangGraph, AutoGen, and Semantic Kernel. Vector ... DevOps tools (GIT/Stash, Fortify, Jenkins, etc) DESIRED SKILLS: Working knowledge Java, Spring ...

AI SOFTWARE ENGINEER Location: Minneapolis, MN, Denver, CO Plano, TX, Cincinnati, OH & Milwaukee, WI PYTHON AND JAVA (SPRING BOOT)/HANDS-ON EXPERIENCE WITH LANGCHAIN, LANGGRAPH, AND AGENTIC AI ...

AI Engineer

Plano, TX · On-site

$42/hr

Candidate must have 5+ years of hands-on experience in Software & Data Engineering and GenAI using LangGraph, LangChain, and Agentic design, development, and production deployment. * Hands-on ...

Plano, TX * Candidate must have 5+ years of hands-on experience in Software & Data Engineering and GenAI using LangGraph, LangChain, and Agentic design, development, and production deployment.

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 ...

... Azure DevOps . * Proven experience managing infrastructure as code with Terraform in production environments. Technical Proficiency * Proficiency in Python (PyTorch, Transformers, LangChain) 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 18, 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.

Software Developer(AI/ML)

PROLIM Global Corporation

Austin, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

I. DESCRIPTION OF SERVICES
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
4
Required
experience in AI/ML engineering or advanced data science
4
Required
Proven track record of building and deploying production-grade autonomous agents.
4
Required
Strong experience in context engineering
4
Required
Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
4
Required
Experience implementing RAG architectures using vector databases
4
Required
Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
4
Required
Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
4
Required
Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls
4
Required
Understanding of data privacy and handling of sensitive data (PII/PHI)
2
Preferred
Experience building multi-agent or autonomous agentic workflows
2
Preferred
Experience optimizing LLM cost, token usage, and performance
2
Preferred
Familiarity with enterprise AI deployment patterns and scalability considerations
Solicitation Reference Number: 529601688
Customer/Dept: Texas Health and Human Services Commission
Hybrid - 3 days remote with 2 days (Tues & Wed) required to be onsite