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Langgraph Jobs in Lancaster, SC (NOW HIRING)

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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 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 Lancaster, SC? For Langgraph jobs in Lancaster, SC, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

AI Infrastructure Engineer - Fort Mill, SC (Hybrid) - Full Time - Lorven Technologies Inc.

Lorven Technologies

Fort Mill, SC • On-site

$94K - $123K/yr

Full-time

Posted 14 days ago

Job description

Position: AI Infrastructure Engineer
Location: Fort Mill, SC (Hybrid)
Duration: Full Time
Key Responsibilities
  • Bachelor's or Master's degree in Computer science or equivalent, with minimum 10+ Years of experience in IT.
  • Embed within Infrastructure teams and work closely with business and infrastructure leaders.
  • Identify automation opportunities independently, without waiting for instructions.
  • Build AI-assisted solutions using Cursor and GitHub Copilot.
  • Develop Infrastructure automation and build AI workflows and AI agents.
  • Modernize infrastructure platforms and improve cloud migration efficiency.
  • Build vulnerability remediation automation.
  • Demonstrate proof-of-concepts rapidly and deliver measurable productivity improvements.
  • Mentor existing engineering teams and promote AI adoption across the organization.

Required Skills & Experience
  • Programming & scripting: strong Python development, scripting, and APIs.
  • Infrastructure & cloud: infrastructure engineering, cloud platforms (AWS preferred), Infrastructure as Code (IaC), DevOps, and automation.
  • AI-assisted engineering: GitHub Copilot, Cursor AI, prompt engineering, LLM-based software development, and AI-assisted coding.
  • Ways of working: strong problem solving, a self-starter mindset, and excellent communication.

Platform & Infrastructure FDE:
  • Infrastructure as Code - Terraform, Pulumi, AWS CDK, VMware, OpenShift
  • Configuration-as-Code - Ansible, Puppet
  • CI/CD - GitHub Actions, ArgoCD
  • Kubernetes - EKS / GKE / AKS, Helm, service mesh
  • Observability - OpenTelemetry, Dynatrace, Grafana, LLM metrics
  • Cloud security - VPC, PrivateLink, encryption, data residency
  • Compliance - SOC 2, HIPAA, FedRAMP for LLM
  • Agentic frameworks - LangGraph, CrewAI, N8N
  • LLMOps - model routing (LiteLLM), semantic caching, prompt versioning, A/B testing
  • Cost / FinOps for LLM

Preferred Skills
  • Agentic AI workflows and AI orchestration
  • Infrastructure modernization and platform engineering
  • Security automation and vulnerability management
  • FinOps and observability
  • Cloud migration
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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