ZipRecruiter

Log In

1

Langgraph Jobs in Delaware (NOW HIRING)

Codebridge

AI Engineer

Dover, DE · On-site

$100 - $130/hr

Implement multi-agent architecture using LangChain, LangGraph, and LangSmith * Contribute to AI-heavy roadmap features (AI video content, Virtual Labs, knowledge ingestion, just-in-time learning ...

Percient Inc.

Agentic AI

Wilmington, DE · On-site

Hands-on experience with orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or similar enterprise AI frameworks * Hands-on experience designing and ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on prompts/flows and automate offline/online evaluations * Integrate AI into web applications (REST/GraphQL ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on prompts/flows and automate offline/online evaluations * Integrate AI into web applications (REST/GraphQL ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on prompts/flows and automate offline/online evaluations * Integrate AI into web applications (REST/GraphQL ...

ApTask

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

Agent frameworks (Agent SDK, LangChain, LangGraph, CrewAI, Semantic Kernel), RAG pipelines, embeddings, and vectorization, LLM fine‐tuning, evaluation, and safety mechanisms. • Define prompting ...

Apex Systems

Generative AI Engineer

Newark, DE · On-site

Programming experience in Python, including LangChain, LangGraph, and Streamlit. * Expertise in data science and experience with AI frameworks. * Knowledge of natural language processing for text ...

All JobsLanggraph JobsLanggraph Jobs in Delaware

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 are popular job titles related to Langgraph jobs in Delaware?

For Langgraph jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Langgraph jobs in Delaware look for?

The top searched job categories for Langgraph jobs in Delaware are:

What cities in Delaware are hiring for Langgraph jobs?

Cities in Delaware with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Delaware as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 5% Part Time, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

AI Engineer

Codebridge

Dover, DE • On-site

$100 - $130/hr

Other

PTO

Posted 6 days ago

Job description

We are looking for an experienced AI Engineer to join a long-term product engagement focused on building intelligent, context-aware learning systems integrated directly into engineering workflows.

This is a highly AI-driven role where you’ll design and implement agent-based systems that interact with Jira, Microsoft Teams, internal knowledge bases, and cloud infrastructure. You’ll work closely with the Founder & CTO and directly impact the core product roadmap.

Responsibilities:
  • Develop and deploy AI agents (20+ planned) with different business functions
  • Build Jira-connected agents that analyze tasks and assign micro-learning subtasks
  • Create content generation and notification agents
  • Implement multi-agent architecture using LangChain, LangGraph, and LangSmith
  • Contribute to AI-heavy roadmap features (AI video content, Virtual Labs, knowledge ingestion, just-in-time learning)
Requirements:
  • Expert-level experience with LangChain, LangSmith, LangGraph
  • Hands-on experience building production AI agents
  • Understanding of agentic workflows and multi-agent systems
  • At least Upper-Intermediate English and ability to collaborate with US-based team
  • Node.js, React, MongoDB, Google Cloud, LangChain, LangSmith, LangGraph, Gemini (AI-agnostic architecture)
Recruitment Process:
  1. HR Interview
  2. Final Interview
  3. Job Offer
We Offer:
  • Innovation Culture: Work in a team that actively experiments with AI and modern development approaches
  • Real Product Impact: Direct collaboration with a client and influence on product decisions
  • Flexible Work: Remote work or a modern office in Kyiv
  • Generous Time Off: 20 paid vacation days + 15 sick leave days annually
  • Professional Growth: Compensation for courses, certifications, and learning resources
#J-18808-Ljbffr

Apply