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Langgraph Jobs (NOW HIRING)

Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (LangGraph, LangMem). * Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services.

Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. • Drive ...

Design agentic workflow architecture using frameworks such as LangGraph, CrewAI, or AutoGen. * Ensure all AI workflows operate within the client's AI governance and approval framework. * Lead a small ...

New

AI Engineer

Newark, CA · On-site

$80 - $90/hr

The ideal candidate will have deep expertise in Python , practical experience with LangGraph/LangChain for agent workflows, and proficiency in FastAPI for developing production-grade APIs. This role ...

... with LangGraph or comparable; or LLM fine-tuning. • Proficient in Python and comfortable working with async code, data pipelines, and REST APIs. • Exposure to evaluation methodology for LLM ...

Cupertino, CA (onsite) Job Type: Full time • Strong experience with Large Language Models (LLMs) and agentic workflows • Hands-on experience with LangGraph for workflow orchestration • ...

Design agentic workflows using LangChain and LangGraph. Implement short-term and long-term memory strategies for LLM-based systems. Optimize prompts, retrieval pipelines, and orchestration logic.

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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.
More about Langgraph jobs
What cities are hiring for Langgraph jobs? Cities with the most Langgraph job openings:
What states have the most Langgraph jobs? States with the most job openings for Langgraph jobs include:
Infographic showing various Langgraph job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.
Software Engineer Full Stack Python

Software Engineer Full Stack Python

ClinDCast, LLC

Dallas, TX • On-site

Other

Posted 14 days ago


Job description

Job Title: Software Engineer – Agentic AI Platform (ASL)

Job Summary:
Seeking a Software Engineer with 5+ years of experience to build and maintain core platform components for Agentic AI systems. The role involves developing scalable microservices, APIs, and orchestration frameworks for LLM-powered applications, integrating AI models, and ensuring platform reliability through testing, observability, and CI/CD automation. The ideal candidate has strong Python expertise, cloud-native development experience, and hands-on knowledge of AI/LLM integration frameworks such as LangChain or LangGraph.

Required Skills:

5+ years of software engineering experience with strong Python skills and working knowledge of Java, Go, or TypeScript.
Hands-on experience building REST/gRPC APIs, microservices, and cloud-native applications on AWS/Azure using Docker, Kubernetes, Terraform/CloudFormation/Pulumi, and CI/CD pipelines.
Experience with LLM integration, prompt engineering, or AI/ML application development, including frameworks like LangChain, LangGraph, or similar orchestration tools.


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About ClinDCast

Sourced by ZipRecruiter

ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy. With 15+ Years Of Healthcare IT Industry Experience, ClinDCast Is A Trusted Partner For Payers, Providers, And Lifesciences Organizations, Enabling Them To Deliver Exceptional Product And Solutions For Their Customers.

Industry

Health care and social assistance

Company size

11 - 50 Employees

Headquarters location

Wesley Chapel, FL, US

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