ZipRecruiter

Log In

1

Langgraph Jobs in Massachusetts (NOW HIRING)

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

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 ...

ApplyMint

Staff AI Engineer

Boston, MA · On-site

$130 - $195/hr

LangGraph, Temporal, Pydantic and LangFuse are your primary tools; enterprise reliability, observability, and scale are your standards. You'll also play a light but meaningful mentoring role, helping ...

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 ...

next page

Showing results 1-20

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.

Gen AI platform Engineer

DATAECONOMY

Boston, MA • On-site

Other

Posted 3 days ago

New

Job description

GenAI Platform Engineer

Boston, MA

Full-time role

Experience: 10+yrs

 

About the Role

We''''''''re looking for a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform — hands-on, in the code, every day. This is an individual contributor role with no direct reports. You''''''''ll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. You''''''''ll participate in architecture discussions and code reviews as a strong technical contributor, not as a manager.

Education & Experience

  • Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent practical experience.
  • 5–8 years of professional software engineering experience.
  • 2+ years of hands-on experience building GenAI/Agentic AI applications in production.

What You''''''''ll Do

  • 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 guardrails.
  • Build backend services in FastAPI for agent submission, execution, lifecycle state machines, and status tracking.
  • Implement queue-based dispatch and durable state stores, ensuring idempotency, retries, and failure recovery.
  • Write Infrastructure as Code (Terraform) to provision and manage agent infrastructure on AWS.
  • Integrate agents with vector databases, enterprise messaging systems, and internal workflow tools.
  • Instrument services for observability — structured logging, tracing, metrics.
  • Participate in code reviews and architecture discussions as a peer contributor.
  • Write clear technical documentation (design docs, runbooks) for systems you build.

Required Qualifications

  • Expert-level Python, with strong experience building REST APIs (FastAPI preferred).
  • Hands-on experience with LLMs, Amazon Bedrock (Agents & AgentCore), LangChain, LangGraph, RAG, and vector databases.
  • Strong experience with core AWS services: Lambda, ECS/EKS, API Gateway, S3, RDS/PostgreSQL.
  • Working proficiency in Terraform and Docker.
  • Experience with CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
  • Solid understanding of asynchronous programming and event-driven architectures (Kafka or SQS).
  • Experience with modern authentication patterns (OAuth2, OIDC, JWT) and AWS IAM.

Technical skills

  • Programming: Python , FastAPI
  • Generative AI: Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, LangGraph, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems
  • Vector Databases: Pinecone, Amazon OpenSearch Vector Engine, FAISS, ChromaDB, pgvector
  • Infrastructure as Code: Terraform, AWS CloudFormation (preferred exposure)
  • Containers & Orchestration: Docker
  • Databases: PostgreSQL, DynamoDB
  • Event-Driven Architecture: Amazon SQS, Apache Kafka
  • Authentication & Security: OAuth 2.0, OpenID Connect (OIDC), JWT, AWS IAM, Enterprise Identity Integration (Microsoft Entra ID)
  • CI/CD & DevOps:  Git, Automated Deployment Pipelines
  • Observability: AWS Observability
  • Software Engineering: System Design, Microservices Architecture, Backend Development, API Design, Code Reviews, Technical Documentation, Design Documents, Runbooks
  • Development Practices: Unit Testing, Integration Testing, Code Quality, Secure Coding Practices, Agile/Scrum

 

Preferred Qualifications

  • AWS Associate or Professional certification.

Apply