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Langgraph Jobs in Raleigh, NC (NOW HIRING)

... LangChain, LangGraph, or similar frameworks • Worked with LLM evaluation, observability, or guardrails • Have experience with cloud environments (AWS, GCP, Azure), containers, and basic ...

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain. * Experience with model serving, inference optimization, or AI ...

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain. * Experience with model serving, inference optimization, or AI ...

... LangGraph, CrewAI, AutoGen, Claude tool use, or equivalents. • Strong fundamentals in API design, async/event-driven systems, and cloud infrastructure (AWS strongly preferred). • Experience ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases. * Proficiency in ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases. * Proficiency in ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases. * Proficiency in ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases. * Proficiency in ...

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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 cities near Raleigh, NC are hiring for Langgraph jobs? Cities near Raleigh, NC with the most Langgraph job openings:
Infographic showing various Langgraph job openings in Raleigh, NC as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Mid Research Scientist - Artificial Intelligence Engineer

Mid Research Scientist - Artificial Intelligence Engineer

ARA

Raleigh, NC • On-site

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Applied Research Associates, Inc. (ARA) is seeking a Mid Research Scientist – Artificial Intelligence Engineer to develop AI, machine learning, and computer vision software for the US defense and intelligence communities. The role involves researching, developing, testing, and deploying innovative solutions while integrating data from various sources.
Responsibilities:
• Research, develop, test and deploy artificial intelligence, machine learning and computer vision software.
• Process and integrate data from different sources, including satellites, unmanned aerial vehicles, ground vehicles, human-wearables, and smart devices.
• Enjoy a challenging technical career with opportunities for personal growth.
• Team player able to communicate technical results effectively to others.
Qualifications:
Required:
• US citizenship required (green card holders are not eligible for this position)
• Eligibility to apply for and hold a U.S. security clearance (selected applicants will undergo a security investigation and must meet eligibility requirements at the time of employment)
• BS Degree in Computer Science, Electrical Engineering, or similar technical field along with 5-7 years of experience OR MS degree with 3-5 years of experience
• Strong foundation and experience using AI/ML frameworks (TensorFlow, PyTorch) and software libraries (jax, scikit-learn, hugging-face, ollama, langchain, langgraph, or similar)
• Experience in software development in Python and C/C++
• Solid mathematical background in linear algebra and probability theory
• Experience working with AWS cloud computing
• Experience with collaborative software development and version control (Git)
• Proficiency in one of the following areas: mathematics, physics, robotics, sensor fusion, machine learning, computer vision or signal processing
Preferred:
• Experience working with AWS, S3, Docker and Kubernetes
• Experience developing software for execution on edge devices (GPUs, mobile phones, deployed CPU)
• Experience working with and flying Class I unmanned aerial vehicles (UAVs)
• Experience writing technical proposals
• Experience working on intelligence and DoD programs
Company:
ARA provides research, engineering, and technical support services. Founded in 1979, the company is headquartered in Albuquerque, USA, with a team of 1001-5000 employees. The company is currently Late Stage.