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Langgraph Jobs (NOW HIRING)

Building backend services and LangGraph agent workflows for document extraction and validation pipelines * Working directly with customers and SMEs to understand manual workflows and automate them ...

New

$140K - $145K/yr

Minimum 6 months (CrewAI / AutoGen / LangGraph / LangChain Agents) Role Summary We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end to end AI/ML solutions ...

Lead AI Engineer

$104K - $138K/yr

What You'll Own End-to-end LangGraph orchestration design on GCP - multi-step conditional workflows, HELM gate state management (pause/resume on human approval), and chain sequencing across all four ...

You'll work with cutting-edge technologies including Generative AI, LLMs, LangGraph, RAG, and modern React/TypeScript applications to help engineering teams build and ship software faster. Key ...

The ideal candidate will have hands-on expertise with LangChain and LangGraph, strong Python development skills, and experience building production-grade AI applications that are reliable, secure ...

Design agentic workflows using LangChain and LangGraph. * Implement short-term and long-term memory strategies for LLM-based systems. * Optimize prompts, retrieval pipelines, and orchestration logic.

In this role, you'll partner directly with customers to design, build, and deploy intelligent applications using Python, Langchain/LangGraph, and large language models. You'll bridge engineering ...

Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents . * Design and implement RAG pipelines , vector search solutions, and embeddingbased retrieval ...

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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.
More about Langgraph jobs
What cities are hiring for Langgraph jobs? Cities with the most Langgraph job openings:
What states have the most Langgraph jobs? States with the most job openings for Langgraph jobs include:
Infographic showing various Langgraph job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.

Program Manager - AI

Sincera Technologies, Inc.

Manhattan, NY • On-site

Other

Posted 5 days ago


Job description

Hands-on in program management with strong technical background
Good in Client Engagement, Strategic Planning, Analytical Skills
Ability to assess the risk in-advance with mitigation plan
Hands-on in ADO dashboard
Good knowledge in agentic AI applications using LangGraph and LangMem frameworks systems
Good understating in LLM architectures, prompt engineering, and agentic frameworks (LangGraph, LangMem)
Experience in Private equity fund operations, accounting and financial automation domain
Technological Proficiency with Negotiation Skills
Track the deliverable with planned timeline and cost