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Langchain Developer Jobs in Texas (NOW HIRING)

LangChain

Solutions Architect (Austin)

Austin, TX · On-site

$62.50 - $82.25/hr

... Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks ...

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

Solutions Architect (Austin)

Austin, TX · On-site

$62.50 - $82.25/hr

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 Architect (Dallas)

Dallas, TX · On-site

$62.25 - $82/hr

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 ...

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 ...

BravoTech

Sr AI Developer

Irving, TX · On-site

$112K - $151K/yr

LangChain / OpenAI APIs / Hugging Face * MLOps & CI/CD * Azure, AWS, or GCP * RAG Architectures & AI Agents * Cloud AI Deployment * Data Engineering Fundamentals Key ResponsibilitiesAI Development ...

Photon

Python AI Agent Developer - 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 ...

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.

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 ...

BI Solutions Inc

Senior Agentic AI Developer

Coppell, TX · On-site

$50.75 - $67/hr

Expertise in LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks ... Experience with Docker, Kubernetes, Git, Azure DevOps, and CI/CD pipelines. * Strong understanding ...

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How much do langchain developer jobs pay per hour?

As of Jul 27, 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 job?

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 in the Langchain Developer position, and why are they important?

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 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 July 2026, with employment types broken down into 83% Full Time, 5% Part Time, 1% Temporary, and 11% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

Solutions Architect (Austin)

LangChain

Austin, TX • On-site

$62.50 - $82.25/hr

Full-time

Posted 16 days ago

Job description

Job Summary:
LangChain is a company focused on making intelligent agents ubiquitous by providing a platform for building and operating AI agents. The Solutions Architect will work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems, combining software development and customer-facing skills to ensure customer success.
Responsibilities:
• Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
• Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
• Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
Qualifications:
Required:
• 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
• 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure).
• Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments.
• Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices.
• Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing.
• Experience designing high-availability and disaster recovery solutions.
• Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog).
• Experience with CI/CD pipelines for infrastructure and applications.
• 1+ years of experience building production AI/ML applications or agents.
• Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications.
• Experience with state management patterns (short-term and long-term memory).
• Experience designing and implementing evaluation frameworks for AI applications.
• Strong prompt engineering skills with experience in optimization and A/B testing.
• Experience with vector stores, RAG patterns, and knowledge organization.
• Experience with tool integration, API design, and error handling patterns.
• Strong Python and/or TypeScript development skills.
• Customer-facing experience with enterprise customers.
• Experience conducting technical assessments or infrastructure audits.
• Strong communication skills with ability to explain technical concepts to diverse audiences.
• Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions.
• Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences.
• Experience working cross-functionally with engineering teams, product teams, and customers.
• Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation.
• Ability to balance infrastructure architecture with agent development work.
• Strong engineering background with hands-on development experience.
Company:
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 team of 51-200 employees. The company is currently Growth Stage.

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