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Langgraph Jobs in Florida (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Tampa, FL · On-site

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 ...

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$140K/yr

Deep hands-on experience with LLM frameworks - LangChain, LangGraph, LlamaIndex, OpenAI/Anthropic SDKs, Hugging Face; able to reason about trade-offs across them. * Demonstrated experience building ...

Deloitte

Oracle Gen AI Manager

Miami, FL · On-site

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 ...

Material Bank

Applied AI Engineer

Boca Raton, FL

Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. * Develop and optimize Retrieval-Augmented Generation ...

Kobie Marketing

AI Engineer

Saint Petersburg, FL · Remote

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory * Package agent harnesses for the ...

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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 Florida? For Langgraph jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Florida look for? The top searched job categories for Langgraph jobs in Florida are:
What cities in Florida are hiring for Langgraph jobs? Cities in Florida with the most Langgraph job openings:
Langgraph jobs near you
Infographic showing various Langgraph job openings in Florida as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Applied AI Engineer (Generative AI)

Cognizant Technology Solutions

Sunrise, FL • On-site

$112K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Applied AI Engineer (Generative AI)
We are seeking an Applied AI Engineer with experience in Generative AI, React, and JavaScript/TypeScript to build intelligent solutions that enhance developer productivity and accelerate software delivery. This is an exciting opportunity to work on cutting-edge AI applications, integrating LLMs, agentic workflows, and modern engineering practices into enterprise-scale platforms.
Important Disclaimers:
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.
Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
In this role, you will:
  • Design and develop AI-powered applications using Generative AI and Large Language Models (LLMs).
  • Build and integrate agentic AI solutions using technologies such as LangGraph, RAG, and MCP.
  • Develop modern applications using React and JavaScript/TypeScript.
  • Deploy and maintain scalable AI solutions in production environments.
  • Collaborate with cross-functional teams to solve complex technical challenges.
  • Ensure solutions meet enterprise standards for performance, security, reliability, and compliance.
  • Support CI/CD pipelines and containerized deployments.

Work Model:
Hybrid
Location:
Sunrise , Florida
What you need to have to be considered:
  • 5+ years of software development experience.
  • Strong experience with React and JavaScript/TypeScript.
  • Hands-on experience with Generative AI, LLMs, and Prompt Engineering.
  • Experience with LangGraph, RAG, or MCP-based integrations.
  • Experience with CI/CD pipelines and containerized deployments.
  • Strong problem-solving skills and attention to detail.
  • Ability to work effectively in a collaborative team environment.

Nice to Have
  • Experience with cloud platforms such as AWS or Azure.
  • Experience building AI-enabled enterprise applications.
  • Familiarity with Agile development methodologies.

Salary and Other Compensation:
The annual salary for this position is between $112,000 - $131,500, depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid Holidays plus Paid Time Off
  • 401(k) Plan and Contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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