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Langchain Developer Jobs in Texas (NOW HIRING)

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.

CCS INC

Gen AI Engineer

Plano, TX · On-site

$40 - $50/hr

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

Tekaccel, Inc

AI Engineer

Grand Prairie, TX · On-site

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 ...

BI Solutions Inc

Senior Agentic AI Developer

Coppell, TX · On-site

$50.75 - $67/hr

Seeking a Senior Software Developer with deep expertise and hands-on experience building ... Expertise in LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks.

Photon

Python Developer with ML - Dallas, TX

Dallas, TX

$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 ...

smart folks inc

IAM FullStack developer

Austin, TX · On-site

Job Title: IAM Fullstack Developer Location: Remote Duration: Full-time Required Qualifications ... using LangChain / LlamaIndex or equivalent. * Experience with vector databases (FAISS/Milvus ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

... LangChain, LlamaIndex, Google ADK). • Ensure security, reliability, and observability of ... developers, and contribute to technical design discussions. Required Skills & Experience: • ...

Nagarro

Staff Engineer - AI Engineer

Grand Prairie, TX · Hybrid

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 ...

Nagarro Inc

AI Engineer

Grand Prairie, TX · On-site

AI Engineer with 5+ years of experience required ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Nagarro

Staff Engineer - AI Engineer

Grand Prairie, TX · On-site

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 ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks. * Experience with ...

AMSYS Talent

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

Vytwo

GenAI & Agentic AI Engineer

Prosper, TX · On-site

GenAI & Agentic AI Engineer Location: Whippany, NJ (Hybrid) Hire Type: FTE * Must be legally ... Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain ...

INFOSYS NOVA HOLDINGS LLC

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 ...

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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 are popular job titles related to Langchain Developer jobs in Texas?

For Langchain Developer jobs in Texas, the most frequently searched job titles 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:

Langchain Developer jobs near you
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.

Agentic AI Developer- Lead

InfoVision, Inc.

Dallas, TX • On-site

$58.50 - $76.75/hr

Other

Re-posted 21 days ago

Job description

Agentic AI Developer (Principal / Lead Level)

Role Summary

We are seeking a highly experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This role requires deep handson experience with multiagent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned to business priorities.

This is a handson technical leadership role, not an executiononly developer position.

Key Responsibilities

Agentic AI System Design & Development

  • Design and implement complex multiagent workflows using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or equivalent.
  • Architect agent systems that incorporate planning, memory, tool orchestration, feedback loops, and safe control flows.
  • Own agent behavior endtoend, from prompt and tool design to runtime execution and iteration.

Evaluation & Performance Optimization

  • Define and implement evaluation frameworks for agentic systems, including automated evaluation (e.g., LLMasjudge, metrics) and humanintheloop feedback.
  • Analyze agent outputs to identify failure modes, inefficiencies, hallucinations, and quality gaps.
  • Continuously enhance system performance across accuracy, latency, cost, reliability, and business impact.

Machine Learning & Model DecisionMaking

  • Make informed decisions on model selection, architecture, and tradeoffs based on use case, constraints, and business goals.
  • Identify model limitations, risks, and loopholes, and proactively mitigate them through design or experimentation.
  • Optimize model and system performance based on business priorities, not just technical metrics.

Data & SQL Proficiency

  • Use SQL confidently to analyze data, validate outputs, debug issues, and support evaluation and optimization efforts.
  • Work independently across data sources without reliance on downstream teams for basic analysis.

CrossFunctional Collaboration

  • Partner closely with product, business, and engineering stakeholders to translate business objectives into robust agentic AI solutions.
  • Clearly communicate technical decisions, tradeoffs, and system behavior to both technical and nontechnical audiences.

Required Qualifications

  • 8+ years of experience in AI/ML, data science, or backend engineering, with significant handson work in agentic or GenAI systems.
  • Proven experience building productiongrade agentic AI systems, not just prototypes or demos.
  • Strong understanding of:
    • Multiagent architectures
    • Prompt engineering and agent orchestration
    • Evaluation methodologies for LLM and agentic systems
  • Demonstrated ability to make independent architectural and model decisions.
  • Strong SQL skills for data analysis and debugging.
  • Proficiency in Python and modern AI/ML tooling.

Nice to Have

  • Experience deploying agentic systems in enterprise or regulated environments.
  • Exposure to MLOps, monitoring, and postdeployment optimization.
  • Experience aligning AI system performance with business KPIs.

What This Role Is Not

  • Not an entrylevel or learningonthejob agentic AI role
  • Not an executiononly LangChain / promptengineering position
  • Not a role where architectural decisions are fully prescribed by others

Apply