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Langgraph Jobs (NOW HIRING)

Northern Base

AI/LLM Engineer

New York, NY · On-site

LangGraph * Agent-Based AI Systems * Autonomous AI Agents * ReAct (Reasoning + Acting) * LLM Reasoning, Planning & Task Execution * Model Context Protocol (MCP) * Tool Calling & Tool Integration

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Python, LangChain, LangGraph, Azure AI Foundry Roles & Responsibilities: * Agentic System Design: Architect, build, and optimize AI agents using multi-agent frameworks (e.g., LangGraph, AutoGen ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Python, LangChain, LangGraph, Azure AI Foundry Roles & Responsibilities: * Agentic System Design: Architect, build, and optimize AI agents using multi-agent frameworks (e.g., LangGraph, AutoGen ...

OmegaHires

AI Engineer

Irving, TX · On-site

We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications and agentic workflows using Python, Cloud technologies, Anthropic Claude, and LangGraph or LangChain.

Nastech Global

AI Engineer

Cupertino, CA · On-site

Hands-on experience with LangGraph for workflow orchestration * Expertise in building Retrieval-Augmented Generation (RAG) pipelines * Knowledge of semantic layers and knowledge graphs for structured ...

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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.

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Langgraph jobs near you
Infographic showing various Langgraph job openings in the United States as of September 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Senior AI Engineer

Los Angeles, CA • On-site

Ruri Software Technologies LLC
Software Development • 11 - 50 employees
Learn more about Ruri Software Technologies LLCexternal

$112K - $154K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Role:Senior AI Engineer
Woodland Hills, CA
Onsite- Hybrid
Job Description/ Responsibilities:
Role Overview:
• We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions-from architecture to deployment-leveraging Python, modern LLM frameworks, and scalable system design.
Key Responsibilities:
• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases
• Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain or LangGraph
• Integrate AI systems with APIs, backend services, and cloud platforms
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Key Qualifications:
• Strong Python expertise with experience building and deploying production-grade backend systems
• Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
• Proven experience with RAG architectures, embeddings, and vector databases
• Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
• Strong system design skills with experience building and scaling cloud-based applications
What are the top 3 skills required for this role:
1. Strong programming experience in Python, Javascript.
2. Strong exp with LangGraph, LangChain, RAG architectures, embeddings, and vector databases.
3. Strong exp with AI systems with APIs, backend services, and cloud platforms.
Years of Experience: 8.00 Years of Experience
Regards
Danyal
danyal@rurisoft.com

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