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Langgraph Jobs in Spring, TX (NOW HIRING)

AI Lead 11+ years of exp

Houston, TX · On-site

$133K - $164K/yr

LangGraph * LangChain * Python * Agentic AI * Gen AI * NLP Models * Tech Lead experience (Onsite and offshore) Key Responsibilities * Lead the day-to-day development of AI solutions, including ...

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

Experience with LangChain, LangGraph, or similar frameworks * Understanding of embeddings, vector DBs, retrieval workflows * Experience building production-quality code * Familiarity with async ...

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as ...

LangChain / LangGraph / LLM orchestration frameworks • Cloud platforms (Azure, AWS, GCP, Azure OpenAI) • Power BI, Tableau, or similar tools • Understanding of responsible AI, governance, and ...

RAG knowledge systems, vision models, LangGraph style agent flows * Event driven architecture with Kafka or Azure Service Bus * OpenTelemetry based observability * Internal metadata and configuration ...

Experience with Azure AI Foundry, OpenAI services, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar frameworks. * Experience with GitHub Enterprise, GitHub Copilot, Azure DevOps, CI ...

... LangGraph or equivalent). • Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation. • Experience with Azure AI Foundry or comparable ...

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... LangGraph or equivalent). • Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation. • Experience with Azure AI Foundry or comparable ...

Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent). Experience in deploying and operating LLM ...

LangChain/LangGraph, LlamaIndex, AutoGen, or Semantic Kernel * Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs ...

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Langgraph information

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.
What are popular job titles related to Langgraph jobs in Spring, TX? For Langgraph jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Spring, TX look for? The top searched job categories for Langgraph jobs in Spring, TX are:
What cities near Spring, TX are hiring for Langgraph jobs? Cities near Spring, TX with the most Langgraph job openings:
Infographic showing various Langgraph job openings in Spring, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

AI Engineer (Trading Analytics & Data Engineering)

WorkNovas LLC

Houston, TX • On-site

$109K - $131K/yr

Contractor

Posted 12 days ago


Job description

 
AI Engineer (Trading Analytics & Data Engineering)
Houston, TX
Description: 

Job Description:

Client is hiring an AI Engineer with a strong data engineering foundation and excellent communication skills—ideally with commodity or financial trading experience. You'll partner with traders and trading analysts to rapidly build AI powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed.

Ways of working:

 - Hybrid; high touch collaboration with trading teams.

 - Bias to prototype fast, iterate with users, and harden to production.

 - Maintain operational stability of production pipelines using secure, modern CI/CD engineering practices — with automated testing, quality gates, and built in reliability across development,  security, and operations.

Roles and Responsibilities:

 - Design and ship AI driven analytics for front office use (seasonality, correlation, regression, forecasting, scenario modelling).

 - Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance.

 - Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data).

 - Collaborate directly with traders/analysts—translate ambiguous questions into shippable solutions; communicate insights clearly.

 -  Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails.

 - Productionize solutions with testing, observability, versioning, and documentation.

 Mandatory skills:

 -  Hands on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog).

 -  Proven data engineering skills (ingestion, modelling, orchestration, performance tuning).

 - Strong statistics/economics/data science fundamentals for market time series.

 - Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services.

 - Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage).

 - Excellent stakeholder skills; able to work on desk with traders/analysts and deliver fast.

Business Application:    

 - Background in commodity or financial trading.

 - Familiarity with market microstructure, supply demand fundamentals, risk management.