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Langgraph Jobs in New Rochelle, NY (NOW HIRING)

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Photon

Python + Gen AI Developer - New York

Manhattan, NY

$55 - $76/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Revin AI

Senior Software Engineer

New York, NY · On-site

$200K - $275K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Photon

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

revin

Software Engineer

New York, NY · On-site

$140K - $180K/yr

  • Medical

  • Retirement

  • PTO

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

Bread Financial

Senior Staff Agentic AI Engineer

New York, NY · On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Contribute to defining and implementing agenttoagent communication protocols using frameworks like LangGraph, AutoGen, or CrewAI. - (15%) * Measure and improve agent decision reliability using tools ...

Revin AI

Software Engineer

New York, NY · On-site

$140K - $180K/yr

  • Medical

  • Retirement

  • PTO

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

De Circle

Chaos Labs - AI Engineer

New York, NY · On-site +1

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Develop agentic workflows using LangGraph or equivalent frameworks * Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling * Define and run LLM evaluations for quality ...

Virtusa Corporation

AI Scientist

New York, NY · On-site

LangChain/LangGraph * AI/LLM evaluation and LLM-as-a-Judge * Embeddings/vector search * Strong analytical and research skills * Experience with clinical, financial, or regulated domains is a plus.

Turing

Principal AI Engineer

New York, NY

$245K/yr

Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. * Cloud integration:

Brooklyn Sports & Entertainment

AI Engineer

Brooklyn, NY

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop agent orchestration patterns using LangGraph and Amazon Bedrock . * Build integrations with systems such as Salesforce, internal APIs, analytics dashboards, and operational data platforms

Brooklyn Sports & Entertainment

AI Engineer

Brooklyn, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop agent orchestration patterns using LangGraph and Amazon Bedrock . * Build integrations with systems such as Salesforce, internal APIs, analytics dashboards, and operational data platforms

Datalinx AI

Senior Full-Stack Engineer

Manhattan, NY · On-site

Responsibilities : • Design, develop, and maintain secure, scalable implementation of the Datalinx product. • Build AI-driven agentic solutions using frameworks like LangGraph, designing ...

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Showing results 41-60

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.

Sr Gen AI Engineer - NY/NJ

Photon

Manhattan, NY • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description


Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.
Technical Stack:
LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.
Key Responsibilities:
Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
Containerize and deploy AI services via Docker to production environments.
Required Qualifications:
Hands-on experience building and deploying GenAI applications in a production setting.
Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
Experience with vector search, embedding models, and advanced data retrieval patterns.
Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
Familiarity with production-grade monitoring, API security, and CI/CD for ML.
Compensation, Benefits and Duration
Minimum Compensation: USD 40,000
Maximum Compensation: USD 141,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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