ZipRecruiter

Log In

1

Langgraph Jobs (NOW HIRING)

Salesforce

DS with GEN AI

Plano, TX · On-site

$14.25 - $18.50/hr

Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks. • Large Language Models (LLMs): In-depth understanding and practical experience with ...

Argyle Infotech

AI Lead

Tampa, FL

Basking Ridge, NJ/Dallas, TX and Tampa, FL Hybrid Primary - LangGraph, ReAct, LangChain, LlamaIndex, Python Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI The Agentic AI Lead is a ...

Argyle Infotech

AI Lead

Tampa, FL · On-site

Basking Ridge, NJ/Dallas, TX and Tampa, FL Hybrid Primary - LangGraph, ReAct, LangChain, LlamaIndex, Python Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI The Agentic AI Lead is a ...

Argyle Infotech

AI Lead

Dallas, TX

Basking Ridge, NJ/Dallas, TX and Tampa, FL Hybrid Primary - LangGraph, ReAct, LangChain, LlamaIndex, Python Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI The Agentic AI Lead is a ...

Argyle Infotech

Basking Ridge, NJ/Dallas, TX and Tampa, FL Hybrid Primary - LangGraph, ReAct, LangChain, LlamaIndex, Python Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI The Agentic AI Lead is a ...

IT America Inc

Agentic AI Engineer Lead

Dallas, TX · On-site

$101.40K - $133.50K/yr

Primary - LangGraph, ReAct, LangChain, LlamaIndex, Python Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI The Agentic AI Lead is a pivotal role responsible for driving the research ...

Argyle Infotech

Agentic AI

Tampa, FL

This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ...

Argyle Infotech

Agentic AI

Tampa, FL · On-site

This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ...

eClerx

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

Leverage LangGraph's stateful graph execution model to build resilient, interruptible, and human-in-the-loop agentic workflows * Integrate LLM-powered agents with external APIs, databases, and ...

eClercx

Senior AI Developer

Manhattan, NY

$125K - $140K/yr

Leverage LangGraph's stateful graph execution model to build resilient, interruptible, and human-in-the-loop agentic workflows * Integrate LLM-powered agents with external APIs, databases, and ...

eClercx

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

Leverage LangGraph's stateful graph execution model to build resilient, interruptible, and human-in-the-loop agentic workflows * Integrate LLM-powered agents with external APIs, databases, and ...

RIT Solutions, Inc.

Senior Software Engineer

Atlanta, GA · Hybrid

$117.80K - $155.30K/yr

LangGraph Monitoring & Observability Tools * Arize * Honeycomb * Splunk * OpenTelemetry (OTEL) Key Responsibilities * Design and develop scalable backend systems using TypeScript and Python * Build ...

VeridianTech

$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 ...

next page

Showing results 1-20

People also search for

All JobsLanggraph Jobs

Langgraph information

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 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 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 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.

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:
What job categories do people searching Langgraph jobs look for? The top searched job categories for Langgraph jobs are:
Langgraph jobs near you
Infographic showing various Langgraph job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.
DS with GEN AI

DS with GEN AI

Salesforce

Plano, TX • On-site

$14.25 - $18.50/hr

Full-time

Posted 27 days ago

Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

99th of 185 rated software companies

Job description

DS with GEN AI (Location: Plano, TX )
Job Description:
• Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
• DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.
• LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
• Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. LLM Fine-tuning experience
• Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
• Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
• API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
• Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
• Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
• Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
• Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.

What Salesforce employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply