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Langgraph Jobs in Berkeley, CA (NOW HIRING)

B Capital

Forward Deployed AI Engineer

San Francisco, CA · On-site

$200 - $250/hr

Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks. * Act as a trusted technical advisor to customers, understanding their needs and crafting ...

Mindlance

AI Python Engineer

Concord, CA · On-site

Develop solutions using frameworks such as LangChain and/or LangGraph. * Integrate LLMs with enterprise data sources and knowledge repositories. * Design scalable architectures for AI-powered ...

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All JobsLanggraph JobsLanggraph Jobs in Berkeley, CA

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 job categories do people searching Langgraph jobs in Berkeley, CA look for?

The top searched job categories for Langgraph jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Langgraph jobs?

Cities near Berkeley, CA with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Berkeley, CA as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Forward Deployed AI Engineer

B Capital

San Francisco, CA • On-site

$200 - $250/hr

Other

Posted 20 days ago

Job description

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

About the Role

We’re seeking a highly skilled and motivated Forward Deployed Engineer (FDE) to work at the cutting edge of Generative AI deployments. In this role, you’ll partner directly with customers to design, build, and deploy intelligent applications using Python, Langchain/LangGraph, and large language models. You’ll bridge engineering excellence with customer empathy to solve high-impact real-world problems.

This is a hands-on engineering role embedded within customer projects—ideal for engineers who enjoy ownership, love solving hard problems, and thrive in dynamic, technical environments.

Key Responsibilities
  • Lead the end-to-end deployment of GenAI applications for customers—from discovery to delivery.
  • Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks.
  • Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.
  • Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities.
  • Write clean, maintainable code and build reusable modules to streamline future deployments.
  • Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.
  • Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.
Required Qualifications
  • 5–8+ years of experience in software engineering or solutions engineering, ideally in a customer-facing capacity.
  • Proven expertise in Python, Langchain, LangGraph, and SQL.
  • Deep experience with engineering architecture, including APIs, microservices, and event-driven systems.
  • Demonstrated success in designing and deploying GenAI applications into production environments.
  • Strong proficiency with cloud services such as AWS, GCP, and/or Azure.
  • Excellent communication skills, with the ability to translate technical complexity to customer-facing narratives.
  • Comfortable working autonomously and managing multiple deployment tracks in parallel.
Preferred Qualifications
  • Familiarity with CI/CD, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Docker, Kubernetes).
  • Background in LLM fine-tuning, retrieval-augmented generation (RAG), or AI/ML operations.
  • Previous experience in a startup, consulting, or fast-paced customer-obsessed environment.
Education
  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Salary Range: 180-230k+

Values:
  • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
  • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection.
  • We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing:
  • Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
  • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
  • Competitive compensation
  • Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

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