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Langgraph Jobs in Boston, MA (NOW HIRING)

Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation Platform & Product * End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and ...

Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation Platform & Product * End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and ...

Deployed Engineer (Boston)

Boston, MA · On-site

$165K - $380K/yr

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched ...

Machine Learning Engineer II

Cambridge, MA · On-site

$106K - $145K/yr

LangGraph, Transformers, HuggingFace, LightGBM, PyTorch, SKLearn, XGBoost * Data Exploration & Visualization: Jupyter, Matplotlib, Pandas, Weights & Biases, Langfuse * Data Management & Storage:

Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation Platform & Product * End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and ...

Drive platform standardization across agent frameworks (LangGraph, MCP protocol, AG-UI protocol) * Evaluate and integrate emerging AI technologies (new LLM providers, inference optimization, agentic ...

Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. * Develop and optimize Retrieval-Augmented Generation ...

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Direct experience with LangChain's DeepAgent or LangGraph for multi-step agent orchestration * Background in evaluation frameworks for LLM outputs (automated scoring, human-in-the-loop evaluation ...

AI Engineer

Burlington, MA · On-site +1

$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 ...

AI Engineer

Mansfield, MA · On-site

$190 - $210/hr

Design, prototype, and develop solutions using modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, PyTorch, Hugging Face Transformers, and scikit-learn * Champion AI-driven ...

New

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

Drive platform standardization across agent frameworks (LangGraph, MCP protocol, AG-UI protocol) * Evaluate and integrate emerging AI technologies (new LLM providers, inference optimization, agentic ...

Showing results 21-40

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 Boston, MA?

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

What job categories do people searching Langgraph jobs in Boston, MA look for?

The top searched job categories for Langgraph jobs in Boston, MA are:

What cities near Boston, MA are hiring for Langgraph jobs?

Cities near Boston, MA with the most Langgraph job openings:

Infographic showing various Langgraph job openings in Boston, MA as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, 2% Temporary, and 8% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Staff Software Engineer (Agentic AI)

Fairygodboss

Lowell, MA • On-site

$129.50 - $186.10/hr

Other

Posted 15 days ago


Job description

Staff Software Engineer – Agentic Acceleration Group

We are seeking a highly experienced Staff Software Engineer to build and scale our agentic AI capabilities on Google's Agent Development Kit (ADK) and other enterprise agentic platforms. This role will provide the opportunity to work on cutting‑edge agentic AI systems, intelligent automation workflows, and impactful projects used by enterprises and users worldwide.

Responsibilities
  • 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 through tools, APIs, and Model Context Protocol (MCP) servers; design and implement custom tools, skills, and plugins that extend agent capabilities across UKG’s HCM platform.
  • Drive the technical strategy and vision for agentic AI initiatives and major projects, ensuring alignment with business goals and industry best practices.
  • Lead cross‑functional teams to design, develop, and deliver high‑impact agent‑powered projects on time and within budget.
  • Architect, design, and develop complex agentic systems on Google ADK and similar platforms, ensuring high standards of performance, scalability, and reliability.
  • Ensure health and quality of agent‑powered services, proactively identifying and addressing issues; use service health indicators, agent performance metrics, and telemetry.
  • Oversee agent deployment, monitoring, and lifecycle management, implementing best practices for versioning, cost monitoring, optimization, and iterative improvement.
  • Advocate for and implement best quality practices for agentic systems; guide team in maintaining service quality through comprehensive testing (agent evaluation, prompt testing, tool validation).
  • Build testable agents and agentic systems, define tests—including agent evaluation, tool validation, prompt validation—and automate them with appropriate frameworks.
  • Provide technical mentorship and guidance on agent development; mentor junior engineers on building production‑grade agents, designing tool integrations, and implementing agent safety practices.
  • Stay current with emerging agentic AI technologies and platforms, advocating for their adoption where appropriate to drive innovation and productivity.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 7+ years of professional software development experience, with 2+ years building agentic AI systems or LLM‑powered applications in production.
  • Deep expertise in at least one of Python, Java, C#, JavaScript, or TypeScript.
  • Hands‑on experience building production agents using platforms such as Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar.
  • Experience designing and implementing multi‑agent systems, agent orchestration patterns, and tool‑use architectures.
  • Strong understanding of prompt engineering, context engineering, and agent design patterns (ReAct, Chain‑of‑Thought, tool use, multi‑agent collaboration).
  • Experience integrating agents with enterprise systems through APIs, tools, and protocols (REST APIs, MCP, function calling).
  • Extensive experience with software architecture and design patterns; ability to design and implement scalable, reliable agentic systems in a DevOps model.
  • Proven track record of leading and delivering large‑scale, complex software projects, including agentic AI initiatives.
  • Proficiency with cloud technologies such as GCP (Vertex AI, Google ADK), Azure (Azure OpenAI), AWS (Bedrock) and version control systems like GitHub.
  • Strong problem‑solving skills, attention to detail, and commitment to delivering high‑quality agent‑powered solutions.
  • Experience building telemetry and observability for agentic systems (execution tracing, decision logging, cost monitoring, success rate tracking).
  • Strong leadership, communication, and interpersonal skills, with ability to influence and drive agentic AI technical decisions across the organization.
Compensation & Benefits

The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job‑related knowledge, and work location. Eligible employees may also participate in a performance‑based bonus plan and restricted stock unit awards.

Equal Opportunity Employer

UKG is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, or other protected categories. UKG participates in E‑Verify. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment; any employer who violates this law shall be subject to criminal penalties and civil liability. For individuals with disabilities that need additional assistance during the application and interview process, please contact UKGCareers@ukg.com.

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