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Langgraph Jobs in Lancaster, SC (NOW HIRING)

Apptad, Inc.

Senior AI Automation Engineer

Fort Mill, SC · On-site

$97K - $127K/yr

Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks. * Strong understanding of prompt engineering, RAG, vector databases, and AI workflow design.

1 point system

GenAI Product Engineering Lead

Rock Hill, SC · On-site

$85K - $112K/yr

Proven ability to design and develop multi-agent systems using RAG, APIs, microservices, and frameworks like LangChain or LangGraph * Full stack engineering background with focus on application ...

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Langgraph information

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 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 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 cities near Lancaster, SC are hiring for Langgraph jobs?

Cities near Lancaster, SC with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Lancaster, SC 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.

Senior AI Automation Engineer

Apptad, Inc.

Fort Mill, SC • On-site

$97K - $127K/yr

Full-time

Re-posted 2 days ago

Job description

Job Title: Senior AI Automation Engineer
Location: Fortmill, SC (Onsite)
Duration: Contract
Job Description:
Mandatory Skills
  • Agentic AI workflows
  • AI orchestration
  • API's & MCP integration

Job Description:
Position Summary
We are seeking a highly skilled AI Automation Engineer to accelerate AI adoption and automation initiatives across multiple technology and business teams. The role will focus on designing, developing, and deploying AI-powered workflows, agentic automation frameworks, API integrations, and reusable accelerators that improve operational efficiency, reduce manual effort, and enable faster delivery across the enterprise.
Key Responsibilities
  • Design and implement AI-driven automation solutions to improve engineering and operational processes.
  • Develop AI workflows, agent orchestration frameworks, and automation pipelines using modern AI platforms.
  • Integrate LLMs, enterprise tools, and applications through APIs and workflow orchestration platforms.
  • Build Proof of Concepts (POCs), pilots, and reusable AI accelerators for enterprise adoption.
  • Create intelligent remediation and automation solutions to reduce manual effort across development and infrastructure teams.
  • Develop AI agents capable of performing multi-step tasks, decision-making, and workflow execution.
  • Collaborate with product, engineering, infrastructure, security, and operations teams to identify automation opportunities.
  • Establish best practices, governance, and reusable patterns for AI implementation.
  • Support enterprise modernization initiatives through AI-enabled process transformation.
  • Measure and report productivity gains, efficiency improvements, and business outcomes.

Required Skills
  • Strong experience in Python development.
  • Hands-on experience with Generative AI, LLMs, and AI Agent frameworks.
  • Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
  • Strong understanding of prompt engineering, RAG, vector databases, and AI workflow design.
  • Experience integrating enterprise applications using REST APIs and SDKs.
  • Knowledge of API integration, authentication, token management, and workflow orchestration.
  • Experience with automation platforms such as Power Automate, Zapier, n8n, or similar.
  • Familiarity with cloud platforms (Azure, AWS, or GCP).
  • Experience with Git, CI/CD pipelines, and software development best practices.
  • Strong problem-solving and stakeholder communication skills.

Preferred Qualifications
  • Experience building enterprise AI agents and copilots.
  • Knowledge of development, infrastructure, security, or vulnerability remediation processes.
  • Experience implementing AI solutions for productivity improvement and process automation.
  • Understanding of enterprise architecture and system integration patterns.
  • Exposure to MLOps, observability, and AI governance frameworks.

Expected Outcomes
  • Accelerate AI adoption across multiple technology organizations.
  • Deliver reusable AI frameworks and automation accelerators.
  • Reduce manual engineering effort through intelligent automation.
  • Enable faster experimentation, innovation, and enterprise transformation.
  • Drive measurable productivity and efficiency gains across teams.

Experience
  • 8+ years of software engineering experience.
  • 3+ years of hands-on experience in AI/ML, Generative AI, or intelligent automation initiatives.
  • Prior experience leading enterprise automation or AI transformation initiatives preferred.
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About Apptad

Sourced by ZipRecruiter

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Reston, VA, US

Year founded

2018

Social media

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