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Langgraph Jobs in Massachusetts (NOW HIRING)

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 ...

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 ...

Stellent IT LLC

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 ...

New

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 ...

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 ...

New

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 ...

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 ...

Fairygodboss

Staff Software Engineer (Agentic AI)

Lowell, MA · On-site

$129.50 - $186.10/hr

Design, build, and deploy production‑grade AI agents using Google ADK and other agentic platforms (Anthropic Claude SDK, LangGraph, etc.). * Build agents that integrate with enterprise systems ...

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All JobsLanggraph JobsLanggraph Jobs in Massachusetts

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.

Agentic AI & Generative AI Engineer

Career Soft Solutions Inc

Boston, MA • On-site

$105K - $145K/yr

Other

Posted 21 days ago

Job description

Job Title: Agentic AI & Generative AI Engineer
Location: Onsite – Richardson,TX/ charlotte, NC
Employment Type: Full-Time / Contract

Job Summary

We are seeking an experienced Agentic AI & Generative AI Engineer to design, develop, and deploy next-generation AI applications powered by Large Language Models (LLMs), autonomous AI agents, and modern AI frameworks. The ideal candidate will have hands-on experience building intelligent AI systems using OpenAI, Anthropic, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, and Retrieval-Augmented Generation (RAG) architectures.

This role involves developing AI agents capable of reasoning, planning, tool usage, memory management, and workflow automation while integrating enterprise data sources and cloud infrastructure.

Key Responsibilities

  • Design, build, and deploy Agentic AI solutions capable of autonomous decision-making and multi-step reasoning.
  • Develop Generative AI applications using Large Language Models (LLMs) such as GPT-4/5, Claude, Gemini, and Llama.
  • Build multi-agent systems using frameworks like LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge repositories.
  • Develop AI copilots, intelligent assistants, chatbots, and workflow automation solutions.
  • Integrate AI applications with REST APIs, enterprise applications, databases, and cloud services.
  • Fine-tune prompt engineering strategies to improve response quality, reasoning, and accuracy.
  • Design agent memory, planning, orchestration, and tool-calling capabilities.
  • Deploy AI workloads on Azure, AWS, or Google Cloud using containerized architectures.
  • Optimize inference performance, latency, scalability, and cost.
  • Implement AI governance, security, responsible AI, and compliance best practices.
  • Monitor model performance and continuously improve AI systems using user feedback and evaluation metrics.
  • Collaborate with product owners, architects, data scientists, and software engineers throughout the AI development lifecycle.

Required Qualifications

  • Bachelor''''''''s or Master''''''''s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 5+ years of software engineering experience.
  • 2+ years of hands-on experience building Generative AI or LLM-powered applications.
  • Strong programming skills in Python.
  • Experience with OpenAI, Anthropic Claude, Gemini, Llama, or other foundation models.
  • Strong understanding of Prompt Engineering and LLM optimization.
  • Experience building RAG applications.
  • Experience with Vector Databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or Azure AI Search.
  • Experience with LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
  • Knowledge of embeddings, chunking, semantic search, and retrieval optimization.
  • Experience integrating AI solutions with REST APIs and enterprise applications.
  • Strong understanding of Docker, Kubernetes, CI/CD pipelines, and Git.
  • Experience deploying AI solutions on Azure, AWS, or Google Cloud.

Preferred Qualifications

  • Experience fine-tuning open-source LLMs.
  • Knowledge of Model Context Protocol (MCP).
  • Experience with AI agent orchestration platforms.
  • Familiarity with AI observability tools such as LangSmith, Phoenix, Weights & Biases, or MLflow.
  • Experience with Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
  • Knowledge of knowledge graphs and graph databases (Neo4j).
  • Experience implementing Responsible AI and AI governance frameworks.
  • Experience working with structured and unstructured enterprise data.

Technical Skills

Programming

  • Python
  • SQL
  • JavaScript (preferred)

AI/LLMs

  • OpenAI GPT
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral
  • Hugging Face Transformers

Agentic AI Frameworks

  • LangGraph
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • OpenAI Agents SDK

RAG & Retrieval

  • LangChain
  • LlamaIndex
  • Azure AI Search
  • Pinecone
  • Weaviate
  • Chroma
  • FAISS
  • Milvus

Cloud Platforms

  • Microsoft Azure
  • AWS
  • Google Cloud Platform

DevOps

  • Docker
  • Kubernetes
  • GitHub Actions
  • Azure DevOps
  • Jenkins
  • Terraform

Databases

  • PostgreSQL
  • MongoDB
  • Redis
  • Neo4j

APIs & Integration

  • REST APIs
  • GraphQL
  • MCP
  • Webhooks

Observability

  • LangSmith
  • MLflow
  • Weights & Biases
  • OpenTelemetry

Nice-to-Have Skills

  • AI workflow automation
  • Multi-agent orchestration
  • Human-in-the-loop systems
  • Reinforcement learning concepts
  • AI safety and governance
  • Prompt optimization and evaluation
  • Knowledge graph integration
  • AI-powered business process automation

Soft Skills

  • Strong analytical and problem-solving skills.

Apply