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Langgraph Jobs in Nevada (NOW HIRING)

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.
Infographic showing various Langgraph job openings in Nevada as of July 2026, with employment types broken down into 58% Full Time, 4% Part Time, and 38% Contract. Highlights an 92% In-person, 3% Hybrid, and 5% Remote job distribution.

Senior Engineer - AI Strategy and Digital Automation

The Venetian Las Vegas

Las Vegas, NV

$99K - $137K/yr

Full-time

Posted 2 hours ago


Job description

Position Overview:

The primary responsibility of the Sr Engineer – AI is to play a pivotal role in identifying, developing, and deploying cutting-edge AI solutions across our organization. This position offers the unique opportunity to work on a variety of projects, integrating cutting-edge technologies into our business. Our AI Strategy and Digital Automation Team is at the forefront of exploring emerging technologies and developing groundbreaking solutions that enhance our services, improve customer experience, and drive our business forward.

The successful candidate for this role will be a fast, clear, and independent thinker who is naturally curious about how things work, is metrics and number savvy, has an analytical mindset, and has demonstrated leadership ability. This person will need an ability to see the big picture/whole system and execute on grass root level to rapidly demonstrate impact and value to the organization. Additionally, they are never satisfied with the status quo, can show success in results, and can thrive in a fast-paced, customer-centric, and ever-changing environment. This position is classified as exempt under the Fair Labor Standards Act and Nevada state law.  It is paid on a salary basis and is not eligible for overtime.

All duties are to be performed in accordance with departmental and The Venetian Resort’s policies, practices, and procedures. 

Essential Duties & Responsibilities:
  • Architect and develop autonomous agentic AI solutions using frameworks like Google Agent Development Kit (ADK), Vertex AI Agent Engine, LangChain, or OpenAI Agents SDK.
  • Develop scalable, asynchronous APIs using FastAPI and integrate Model Context Protocol (MCP) to standardize secure connections between agents and external enterprise data and tools.
  • Implement hybrid retrieval pipelines using Vertex AI Vector Search for semantic lookup and Knowledge/Context Graphs (e.g., Neo4j) to manage long-term user memory and complex relationship mapping.
  • Build ingestion pipelines for internal enterprise data (BigQuery, Enterprise Knowledge Base, Unstructured Docs) to ground agents in internal organizational knowledge.
  • Deploy and manage scalable agent architectures on Google Cloud (using Vertex AI Agent Engine or Cloud Run), ensuring secure integrations and reliable recovery workflows.
Additional Duties & Responsibilities:
  • Implement full-stack observability (tracing, logging, dashboards) to visualize agent reasoning, debug state issues, and monitor production health.
  • Build robust evaluation frameworks ("Evals") and benchmark orchestration tools to track accuracy, minimize hallucinations, and ensure systematic quality improvement ("hill climbing").
  • Design and optimize advanced system prompts (Chain-of-Thought, ReAct) for Gemini models, utilizing Vertex AI Prompt Management for versioning and regression testing.
  • Conduct research and analysis on emerging AI technology trends, providing insights and recommendations to senior management.
  • Design and maintain high-quality prompt strategies for robustness and reliability.
  • Safety is an essential function of this job.
  • Consistent and regular attendance is an essential function of this job.
  • Performs other related duties as assigned.
Additional Duties & Responsibilities:

Company Standards of Conduct

All The Venetian Resort Team Members are expected to conduct and carry themselves in a professional manner at all times. Team Members are required to observe the Company’s standards, work requirements and rules of conduct.

Minimum Qualifications:
  • 21 years of age.
  • Proof of authorization/eligibility to work in the United States.
  • Master’s degree in computer science, computer engineering, or related field (or equivalent practical experience).
  • 3+ years of experience building and shipping production software; 2+ years specifically working with LLMs or AI APIs.
  • Must be able to obtain and maintain a Nevada Gaming Control Board registration as well as any other certification or license, as required by law or policy.
  • Expert-level proficiency in Python, with strong familiarity in asynchronous programming (asyncio) and typing.
  • Deep hands-on experience with the Google Cloud AI stack (Vertex AI, Gemini, BigQuery).
  • Proficiency with vector databases (Vertex AI Vector Search, Pinecone) and agent orchestration frameworks (LangGraph, Google ADK).
Minimum Qualifications:
  • Experience designing Context Graphs or stateful memory systems for complex multi-turn agent interactions.
  • Knowledge of AI security best practices (e.g., PII redaction, preventing prompt injection, etc.).
  • Strong knowledge of modern software practices: Agile, Git, CI/CD, and containerization (Docker/Kubernetes/Cloud Run/Vertex AI Agent Engine).
  • Experience with React/Next.js or Streamlit for building rapid agent prototypes.
  • Strong SQL skills and experience with data modeling in BigQuery.
  • Ability to communicate clearly and effectively in English, both in spoken and written form.
  • Strong interpersonal skills with the ability to communicate effectively with guests and other Team Members of different backgrounds and levels of experience.
  • Must be able to work varied shifts, including nights, weekends and holidays.
Physical Requirements:

Must be able to:

  • Physically access all areas of the property and drive areas with or without a reasonable accommodation.
  • Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts.
  • Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts.
  • Ability for prolonged periods of time to walk, stand, stretch, bend and kneel
  • Work in a fast-paced and busy environment.
  • Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke.