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Langgraph Jobs in New Rochelle, NY (NOW HIRING)

LangChain, Inc

GTM Engineer

New York, NY · 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 ...

Virtusa Corporation

Senior Architect

New York, NY · On-site

Experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent technologies. Expertise in cloud platforms (AWS/GCP), containerization (Docker ...

Photon

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/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 ...

TWG AI

Senior Engineer, AI Engineering

Manhattan, NY · On-site

$115K - $158K/yr

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

Virtusa Corporation

Program Manager

New York, NY · On-site

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

Photon

AI Engineer - NY

Manhattan, NY · On-site

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 ...

SWITS DIGITAL Private Limited

AI Engineering Lead

New York, NY · 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 ...

Accord Technologies Inc.

Gen AI Architect

New York, NY · 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 ...

Photon

AI Engineer - NY

Manhattan, NY · On-site

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 ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

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

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Showing results 21-40

All JobsLanggraph JobsLanggraph Jobs in New Rochelle, NY

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.

What are popular job titles related to Langgraph jobs in New Rochelle, NY?

For Langgraph jobs in New Rochelle, NY, the most frequently searched job titles are:

What job categories do people searching Langgraph jobs in New Rochelle, NY look for?

The top searched job categories for Langgraph jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Langgraph jobs?

Cities near New Rochelle, NY with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in New Rochelle, NY as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Full Stack Developer - P&C Insurance

Saama Technologies Inc

Jersey City, NJ • Hybrid

Full-time

Re-posted 12 days ago

Job description

Title – Full Stack Developer – P&C Insurance
Location: Jersey City, NJ – Hybrid
 
Mandatory Skills: Java, Spring Boot, Angular, Azure, Microservices, Agentic AI workflows using LangGraph, LangChain, or comparable frameworks, P&C Insurance
 
Position Summary
We are seeking a hands-on Full Stack AI Consultant to accelerate our AI-in-SDLC strategy, establish agentic workflow orchestration capabilities, and embed modern engineering best practices across the organization
 
Key Responsibilities
  • Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core.
  • Build Enterprise Shared Services and APIs that could be reused across different product teams
  • Define and execute an AI-in-SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deployment.
  • Design and implement agentic workflow orchestration using LangGraph, including multi-agent collaboration, tool integration, memory management, and human-in-the-loop patterns.
  • Build reusable reference implementations, libraries, and playbooks for AI-augmented engineering.
  • Drive adoption of DevOps, CI/CD, and observability practices with AI-driven enhancements.
  • Advise on engineering policies and standards that embed AI-first principles.
  • Upskill existing engineers on agentic AI patterns and AI-integrated development practices.
 
Qualifications & Experience
  • 15+ years in software engineering with advisory experience.
  • Expertise in Java, Spring Boot, Angular, and cloud-native architectures on Microsoft Azure.
  • Strong background in microservices, Docker/Kubernetes, API-first design, and event-driven architectures.
  • Hands-on experience orchestrating agentic AI workflows using LangGraph, LangChain, or comparable frameworks
  • Proven ability to design multi-agent systems with tool use, planning, and RAG patterns.
  • Experience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automation.
  • Strong understanding of LLM orchestration, prompt engineering, and AI observability.
  • Insurance P&C domain experience strongly preferred.
  • Excellent communication skills with the ability to influence from engineering teams to senior leadership.
  • Track record of delivering measurable outcomes within time-bound engagements.
Education
  • Bachelor’s or Master’s in Information technology, Computer Science or related field.
Work Environment 
This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.
 
Physical Demands 
This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required. 
 
Other Duties 
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
 
EEO 
Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.