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Langgraph Jobs in Massachusetts (NOW HIRING)

3B Staffing LLC

AI Solutions Engineer

Boston, MA · Remote

$60 - $77.50/hr

LangGraph Day to Day: * Build and deploy hands-on Agentic AI solutions, including multi-agent systems (5+ agents) with orchestration, planning, routing, and memory. * Define and implement an industry ...

3B Staffing LLC

AI Solutions Engineer

Boston, MA · Remote

$60 - $77.50/hr

LangGraph Day to Day: * Build and deploy hands-on Agentic AI solutions, including multi-agent systems (5+ agents) with orchestration, planning, routing, and memory. * Define and implement an industry ...

DATAECONOMY

Gen AI platform Engineer

Boston, MA · On-site

Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, and LangGraph. * Design and implement RAG pipelines, prompt engineering strategies, and AI ...

DATAECONOMY

Gen AI Engineer

Boston, MA · On-site

Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, and LangGraph. * Design and implement RAG pipelines, prompt engineering strategies, and AI ...

YO AI Labs

Mental Health Expert - Remote

Boston, MA · Remote

$200 - $350/hr

Develop and orchestrate multi-agent systems using LangGraph and LangChain . * Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Develop and orchestrate multi-agent systems using LangGraph and LangChain . * Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and ...

YO AI Labs

Mental Health Expert - Remote

Boston, MA · Remote

$200 - $350/hr

Develop and orchestrate multi-agent systems using LangGraph and LangChain . * Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Develop and orchestrate multi-agent systems using LangGraph and LangChain . * Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and ...

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 ...

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 ...

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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 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

AI Solutions Engineer

3B Staffing LLC

Boston, MA • Remote

$60 - $77.50/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Senior AI Solutions Engineer

Location: Remote

Duration: 6 months

Job Description

Agentic AI leader responsible for building multi-agent systems while defining the standards, architecture, and best practices that enable scalable, reusable, and governed Agentic AI across the enterprise.

Responsibilities:

Build and scale enterprise-level Agentic AI by designing and orchestrating multi-agent systems that seamlessly collaborate and communicate.

Must Haves:

  • Agentic AI
  • LLM
  • Snowflake
  • Databricks
  • BigQuery APIs
  • LangGraph

Day to Day:

  • Build and deploy hands-on Agentic AI solutions, including multi-agent systems (5+ agents) with orchestration, planning, routing, and memory.
  • Define and implement an industry best-practice Agentic AI reference architecture, spanning:
  • User Interface Layer (Chat UI, API Gateway, Slack/Teams, Voice, Embedded BI tools)
  • Orchestration Layer (LangGraph / AutoGen / CrewAI)
  • Specialized Agents (SQL/Text-to-SQL, Analytics, Reasoning, Code Execution, Domain Experts)
  • Tool & Data Layer (Snowflake, Databricks, BigQuery, Vector DB/RAG, APIs, Knowledge Graphs, Guardrails & Eval)

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