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Langgraph Jobs in Edison, NJ (NOW HIRING)

GTM Engineer

New York, NY ยท On-site

$160K - $180K/yr

Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. * Drive ...

Senior Engineer, AI Engineering

Manhattan, NY ยท On-site

$115K - $158K/yr

Required : โ€ข 4+ years experience developing and deploying AI-powered systems, including agent-based workflows, tool orchestration (LangGraph/LangChain or similar), RAG architectures, monitoring ...

Gen AI Architect

New York, NY ยท On-site

$69 - $90.75/hr

Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, utilizing tools such as LangChain, LangGraph, or similar. * Collaborate with business ...

Develop AI pipelines using LangChain, LangGraph, and related frameworks. * Implement prompt engineering, memory systems, and reasoning chains. * Integrate LLMs such as OpenAI, Anthropic, Gemini, or ...

AI Engineering Lead

New York, NY ยท On-site

$112K - $147K/yr

Expert proficiency in programming skills in Python, Langgraph and SQL is a must. * Expert in architecting GenAI applications/systems using various frameworks & cloud services * Expert proficiency in ...

... LangGraph LangMem Agentic AI Framework Large Language Models LLM Architecture Prompt Engineering AI Applications AI Agent Frameworks Private Equity Fund Operations Fund Accounting Financial ...

Develop AI pipelines using LangChain, LangGraph, and related frameworks. * Implement prompt engineering, memory systems, and reasoning chains. * Integrate LLMs such as OpenAI, Anthropic, Gemini, or ...

Senior Engineer, AI Engineering

New York, NY ยท On-site

$190K - $200K/yr

... as LangGraph or similar. You'll collaborate closely with product and design, and take ownership of complex engineering challenges from concept through production. Key Responsibilities: * Design ...

Software Engineer

New York, NY ยท On-site

$140K - $180K/yr

Build and evolve LangGraph workflows that handle SMS and voice conversations for enterprise operators * Ship features end-to-end across a Python/FastAPI backend and a Next.js/TypeScript dashboard

Software Engineer

New York, NY ยท On-site

$140K - $180K/yr

Build and evolve LangGraph workflows that handle SMS and voice conversations for enterprise operators * Ship features end-to-end across a Python/FastAPI backend and a Next.js/TypeScript dashboard

Python + Gen AI Developer - New York

Manhattan, NY ยท On-site

$55 - $76/hr

LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ...

GenAI Solution Architect

Warren, NJ ยท On-site

$65 - $85.75/hr

Warren, NJ 07059 (Hybrid) Employment Type: Full time Mandatory skill - Agentic AI Frameworks Langchain, LangGraph, CrewAI, Vertex.AI, Autogen etc.) * Bachelor's degree in Computer science or ...

LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ...

LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ...

Senior Software Engineer

New York, NY ยท On-site

$200K - $275K/yr

What You Will Do - Build and evolve LangGraph workflows that handle SMS and voice conversations for enterprise operators - Ship features end-to-end across a Python/FastAPI backend and a Next.js ...

LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ...

Showing results 21-40

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 Edison, NJ?

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

What job categories do people searching Langgraph jobs in Edison, NJ look for?

The top searched job categories for Langgraph jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Langgraph jobs?

Cities near Edison, NJ with the most Langgraph job openings:

Infographic showing various Langgraph job openings in Edison, NJ as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 6% Part Time, 3% Temporary, and 6% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

GTM Engineer

LangChain, Inc

New York, NY โ€ข On-site

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role: We are looking for an GTM Engineer where you won't just be using our tools-you'll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines.
You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.
You Will:
  • Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
  • Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
  • Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
  • Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you'll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
  • Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.
What we are looking for:
  • AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.
  • Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.
  • Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.
  • Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.
  • Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.

Nice to Haves:
  • Expertise with LangSmith for evaluation and monitoring.
  • Experience building or maintaining open-source projects.
  • A background in technical consulting, solutions engineering, or high-growth GTM teams.

Compensation:
  • We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
  • Salary: $160K - $180K

Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.