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Langgraph Jobs in Massachusetts (NOW HIRING)

LangChain

Python OSS Engineer

Cambridge, MA · On-site

Responsibilities : • Improving the core abstractions and runtime of the langchain and langgraph packages • Improving documentation • Answering user questions and resolving issues • Use ...

Photon

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Design, develop, and deploy AI agents and multi-agent workflows using Python and agentic frameworks (e.g., LangChain, LangGraph, or equivalent). * Build enterprise-scale RAG solutions over structured ...

UKG

Staff Software Engineer (Agentic AI)

Lowell, MA · On-site

Design, build, and deploy production-grade AI agents using Google ADK and other agentic platforms (Anthropic Claude SDK, LangGraph, etc.). Write clean, maintainable, and efficient code for agent ...

DATAECONOMY Inc

GenAI/Agentic AI Engineer

Boston, MA · On-site

$140 - $210/hr

Strong expertise in Python programming with specialization using various GenAI and Agentic libraries (LangChain, LangGraph, Pydantic, Strands, CrewAi etc.,). * Familiarity of Databricks fundamentals ...

SmartIPlace

Full Stack Java Developer [Boston, MA]

Boston, MA · On-site

$57 - $73.50/hr

Experience working with large language models and exposure to agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI) for building multi-step, tool-augmented workflows and autonomous AI agents ...

NetBrain

AI Engineer

Burlington, MA · On-site

$150K - $180K/yr

Evaluate AI frameworks and infrastructure (e.g., LangChain, LangGraph, AutoGen, LlamaIndex) and guide platform decisions Technical Execution * Diagnose and resolve complex AI system issues (retrieval ...

Lorvenk Technologies LLC

AI Engineer

Boston, MA · On-site

Need someone with Langchain/ LangGraph exp. Senior AI Engineer We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company ...

Citizens

Sr Data Scientist- Generative AI

Westwood, MA · On-site

Build scalable AI solutions using modern frameworks and infrastructure including vLLM, LangChain, LangGraph, MLflow, Databricks, Snowflake, and cloud-native platforms. * Perform exploratory data ...

TripleTen

LLM and agent systems in production (prompting, tool/function calling, orchestration frameworks such as LangGraph/LangChain/CrewAI, guardrails, evals, RAG over enterprise data); APIs and integrations ...

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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 Massachusetts?

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

What job categories do people searching Langgraph jobs in Massachusetts look for?

The top searched job categories for Langgraph jobs in Massachusetts are:

What cities in Massachusetts are hiring for Langgraph jobs?

Cities in Massachusetts with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Python OSS Engineer

LangChain

Cambridge, MA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
LangChain is a company focused on making intelligent agents ubiquitous by providing a platform for building and operating AI agents. The Python OSS Engineer will be responsible for maintaining and improving the LangChain Python package, enhancing core abstractions, improving documentation, and addressing user inquiries.
Responsibilities:
• Improving the core abstractions and runtime of the langchain and langgraph packages
• Improving documentation
• Answering user questions and resolving issues
• Use langchain to build example applications
• Improve the core abstractions and runtime of the LangChain and LangGraph packages
• Improve documentation across the LangChain ecosystem
• Answer user questions and resolve issues from the community
• Use LangChain to build example applications that demonstrate how to build production AI systems
Qualifications:
Required:
• 5+ years of software engineering or applied machine learning experience
• Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
• The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company
• An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision
Company:
LangChain is a platform that provides open-source frameworks and tools for engineering and deploying language model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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