Langgraph AI Engineer Job Description Template

Need a skilled Langgraph AI Engineer fast? Use our job description template to attract top talent and streamline your hiring for high-performance web apps.

Written by Arista I. — Lead Software Engineer - AI, Python and AI Platforms · Softaims Langgraph AI Engineer network

The langgraph developer role is at the forefront of the technology landscape, focusing on advanced language graph solutions that empower applications to process and understand human language more effectively.

With the explosion of data and the need for intelligent systems to interpret and interact with this data, the demand for langgraph developers has surged dramatically in recent years.

Langgraph technology is revolutionizing sectors such as artificial intelligence, machine learning, and natural language processing, making it an indispensable skill in the modern tech world.

Companies are investing heavily in langgraph capabilities to gain a competitive edge, leading to a high demand for skilled developers who can design and implement these complex systems.

The role of a langgraph developer not only offers the opportunity to work on cutting-edge technology but also promises a lucrative career path with significant growth potential.

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Langgraph AI Engineer Job Description Template

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Job Description:

As a Mid-Level Langgraph Specialist, you will play a pivotal role in shaping the development and integration of langgraph features within our products. You will take ownership of medium-sized features, driving them from concept through to production, ensuring they meet our high standards for performance and reliability. Your work will directly impact user experience and product functionality, requiring a keen eye for detail and a deep understanding of langgraph technology.

In this role, you will collaborate closely with cross-functional teams, including product managers, designers, and backend engineers, to deliver seamless and efficient solutions. You will be expected to independently manage your workload, make informed decisions, and contribute to the continuous improvement of our development processes. Success in this role means delivering high-quality, scalable langgraph solutions that enhance our product offerings and delight our users.

Tech Stack:

  • Framework/UI: Angular is used for building dynamic and responsive user interfaces, allowing for modular and maintainable code.
  • Language: TypeScript is employed for its strong typing and object-oriented capabilities, enhancing code reliability and maintainability.
  • State and data: RxJS and NgRx are used for managing application state and handling asynchronous data streams effectively.
  • Styling/design system: SCSS and a component-based design system ensure consistent and scalable styling across the application.
  • API integration: RESTful APIs and GraphQL are utilized to facilitate seamless data exchange between the frontend and backend services.
  • Testing: Jasmine and Karma are leveraged for unit testing, ensuring code quality and functionality before deployment.
  • Build and deployment: Webpack is used for bundling, with Jenkins handling continuous integration and deployment pipelines.
  • Observability: New Relic and Sentry provide real-time monitoring and error tracking to maintain application health.
  • Collaboration/platform: GitHub is used for version control and collaboration, supporting code reviews and continuous integration workflows.

How We Work:

  • Squad delivery: Teams are organized into cross-functional squads that focus on specific product areas, facilitating agile and iterative development.
  • Product/design/backend collaboration: Regular sync-ups with product managers, designers, and backend engineers ensure alignment and cohesive feature development.
  • Code reviews: Peer reviews are integral to our process, promoting knowledge sharing and ensuring code quality.
  • Release cadence: We follow a bi-weekly release schedule, balancing new features with stability and performance improvements.
  • Documentation: Comprehensive documentation is maintained for all features, supporting onboarding and knowledge transfer.
  • QA partnership: Close collaboration with QA engineers ensures rigorous testing and validation of features before release.
  • Production monitoring: Continuous monitoring of deployed features allows for quick identification and resolution of issues.
  • Technical decision-making: Decisions are data-driven and involve input from all relevant stakeholders, ensuring robust and scalable solutions.

Job Responsibilities:

  • Develop: Implement langgraph features from design to deployment, ensuring alignment with business requirements and technical specifications.
  • Integrate: Seamlessly integrate APIs into the frontend, ensuring efficient data flow and user interaction.
  • Manage state: Utilize state management tools like NgRx to handle complex data interactions and maintain application stability.
  • Test: Write and maintain unit and integration tests to ensure feature reliability and performance.
  • Optimize: Continuously improve application performance through profiling and refactoring, ensuring fast and responsive user experiences.
  • Ensure accessibility: Implement accessibility best practices to ensure our applications are usable by all users, regardless of ability.
  • Debug: Identify and resolve production issues, employing effective troubleshooting techniques to minimize downtime.
  • Document: Maintain clear and detailed documentation of features and codebases to support team knowledge sharing.
  • Review code: Conduct thorough code reviews, providing constructive feedback to peers and ensuring adherence to coding standards.
  • Collaborate: Work closely with product and design teams to refine feature requirements and deliver high-quality solutions.
  • Estimate: Provide accurate time estimates for feature development, supporting project planning and resource allocation.
  • Communicate: Effectively communicate progress, challenges, and solutions to stakeholders, ensuring transparency and alignment.

Required Skills:

  • Langgraph experience: Minimum of 3 years of professional experience, with at least 2 years focused on langgraph in production environments.
  • TypeScript expertise: Strong understanding of TypeScript, enabling the development of robust and scalable applications.
  • Debugging proficiency: Demonstrated ability to diagnose and resolve complex issues in production systems.
  • Testing acumen: Experience with writing and maintaining unit and integration tests using Jasmine and Karma.
  • Version control: Proficient with Git, including branching, merging, and resolving conflicts in a collaborative environment.
  • API integration: Experience integrating RESTful and GraphQL APIs into frontend applications.
  • Performance awareness: Ability to profile and optimize applications for speed and efficiency.
  • Estimation skills: Capable of providing accurate time estimates for feature development and delivery.
  • Communication: Strong verbal and written communication skills, facilitating effective collaboration and documentation.

Nice to Have:

  • Advanced framework experience: Familiarity with other frontend frameworks such as React or Vue.js.
  • Design systems: Experience working with component libraries and design systems to ensure consistency and scalability.
  • Visual regression testing: Knowledge of tools like Percy or Chromatic for detecting visual changes in UI components.
  • Accessibility expertise: Advanced understanding of WCAG guidelines and implementation of accessible design practices.
  • Internationalization (i18n): Experience in implementing multi-language support in applications.
  • Cloud/CDN exposure: Experience with cloud platforms like AWS or Azure and content delivery networks for scalable deployments.
  • Regulated industry experience: Familiarity with compliance requirements in industries such as healthcare or finance.
  • Analytics/experimentation: Experience with A/B testing and analytics platforms to drive data-driven decision-making.

Interview Process:

  1. Initial Screening (30 minutes): A phone call with HR to discuss your background, experience, and interest in the Langgraph Specialist role.
  2. Technical Assessment (1 hour): A coding challenge focused on langgraph, testing your proficiency in implementing and optimizing features.
  3. Technical Interview (1.5 hours): A deep dive into your technical skills, including problem-solving, debugging, and langgraph-specific knowledge.
  4. Team Interview (1 hour): Meet with potential team members to discuss collaboration, work style, and project experiences.
  5. Final Interview (1 hour): A conversation with senior leadership to assess cultural fit and discuss your career aspirations.

Perks and Benefits:

  • Competitive compensation: A salary package that reflects your skills and experience in the langgraph domain.
  • Healthcare: Comprehensive medical, dental, and vision plans to support your well-being.
  • Paid time off (PTO): Generous PTO policy to ensure work-life balance and personal time.
  • Learning budget: Annual budget for courses, conferences, and certifications to support your professional development.
  • Remote/hybrid support: Flexible working options, with necessary tools and equipment provided for home office setups.
  • Equipment: Latest technology and hardware to ensure you have the best tools for the job.
  • Retirement plan: 401(k) with company matching to help secure your financial future.
  • Career progression: Clear pathways for advancement and opportunities to take on leadership roles.
  • Engineering culture: A supportive and inclusive environment that values innovation and continuous improvement.

Salary Expectations:

The salary range for a Mid-Level Langgraph Specialist in 2026 is expected to be between $90,000 and $130,000 USD annually. This range can vary based on factors such as location, company size, industry sector, and the candidate's level of specialization and experience. Additional compensation may include bonuses and equity, particularly in larger tech companies or startups with a focus on langgraph technology. Remote and hybrid work arrangements may also influence the final salary offer.

About the Author

  • Author icon

    By Mehmet A.

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    7 years of experience

My name is Mehmet A. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Next.js, React, TypeScript, AI Bot, AI Agent Development, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: NextJs Payment Application with AI Agent Development & AI automation, AI Agent Chatbot for an e-commerce platform with n8n workflow, AI Powered Customer TIcket Management System, Contentful Cloudinary Application, Wordpress Headless B2B Woocommerce, etc.. I am based in Istanbul, Turkey. I've successfully completed 12 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Previously worked at:Türk Telekom

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Komal M.

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Bogdan G., Senior Full-Stack Engineer - AI, Python and AI Platforms at Softaims

Bogdan G.

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