Bolt AI Engineer Job Description Template

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

Written by Raj T.Senior Full-Stack Engineer - AI, Python and AI Platforms · Softaims Bolt AI Engineer network

Bolt AI is at the forefront of artificial intelligence innovation, revolutionizing the way businesses interact with technology. Our cutting-edge solutions leverage the power of machine learning and natural language processing to deliver unparalleled user experiences.

The demand for skilled developers in the AI sector has skyrocketed as companies strive to integrate intelligent systems into their operations. Bolt AI stands out by offering an environment that fosters creativity and technical excellence.

Our team is composed of some of the brightest minds in the industry, working collaboratively to push the boundaries of what's possible with AI. We are committed to developing technologies that not only meet but exceed the expectations of our clients.

As a developer at Bolt AI, you will have the opportunity to work on groundbreaking projects that have a real impact on the world. Our solutions are used by leading companies across various sectors, making our work both challenging and rewarding.

Joining Bolt AI means becoming part of a dynamic and innovative team that is passionate about technology and its potential to transform industries. We are looking for talented developers who are eager to contribute to our mission and grow with us.

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Hire fast and on budget—place a request, interview 1-3 curated developers, and get the best one onboarded by next Friday. Full-time or part-time, with optimal overlap.

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Bolt AI Engineer Job Description Template

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Job Description:

As a Mid-Level Bolt AI Specialist, you will be at the forefront of developing innovative AI-driven solutions that enhance our product offerings. You will own medium-sized features from conception through deployment, ensuring they integrate seamlessly with our existing systems. Your role will involve close collaboration with product managers, designers, and backend engineers to deliver impactful AI functionalities that meet our users' needs and exceed their expectations. Success in this role means delivering robust, scalable, and performant AI features that drive user engagement and satisfaction.

In this position, you will be expected to independently manage your projects, making critical decisions about feature implementation, API integrations, and performance optimizations. You will be responsible for maintaining high production standards, including testing, debugging, and monitoring AI systems in live environments. Your contributions will directly impact our product's success and help shape the future of AI integration within our company.

Tech Stack:

  • Framework/UI: Utilize Angular and React for building responsive and dynamic user interfaces that interact with AI services.
  • Language: Develop in TypeScript and Python, leveraging their strengths for frontend and AI model development respectively.
  • State and data: Manage complex state using NgRx and Redux, ensuring efficient data flow and state management across components.
  • Styling/design system: Implement design systems with SCSS and Tailwind CSS to maintain consistent UI/UX across applications.
  • API integration: Integrate RESTful and GraphQL APIs to connect frontend applications with AI services and databases.
  • Testing: Employ Jest and Cypress for unit and end-to-end testing to ensure code quality and feature reliability.
  • Build and deployment: Use Webpack and Docker for building and containerizing applications, facilitating smooth CI/CD pipelines.
  • Observability: Implement logging and monitoring using tools like Elastic Stack and Prometheus to ensure high availability and performance of AI systems.
  • Collaboration/platform: Collaborate using GitHub and Jira, ensuring transparency and efficiency in project management and code reviews.

How We Work:

  • Work in cross-functional squads that include product, design, and engineering to deliver end-to-end solutions.
  • Engage in regular code reviews to maintain code quality and share knowledge across the team.
  • Follow a bi-weekly release cadence, ensuring features are delivered consistently and reliably.
  • Collaborate closely with QA to develop comprehensive test plans and ensure feature robustness before deployment.
  • Document technical decisions and feature implementations to maintain a knowledge base and facilitate onboarding.
  • Monitor production environments using observability tools to quickly identify and resolve issues.
  • Participate in technical decision-making processes, contributing insights from AI and machine learning perspectives.
  • Foster a culture of continuous improvement by regularly reflecting on team processes and outcomes.

Job Responsibilities:

  • Develop and deploy AI-driven features, ensuring they meet product requirements and user needs.
  • Integrate AI services with existing APIs, ensuring seamless data flow and system interoperability.
  • Manage state across applications using industry-standard libraries, ensuring efficient and reliable data handling.
  • Write unit and integration tests to validate feature functionality and prevent regressions.
  • Optimize AI models and algorithms for performance, ensuring they run efficiently in production environments.
  • Ensure accessibility compliance across AI-driven features, enhancing usability for all users.
  • Debug and resolve production issues, maintaining system stability and user satisfaction.
  • Create and maintain comprehensive documentation for AI features and systems.
  • Conduct code reviews, providing constructive feedback to peers and maintaining code quality standards.
  • Collaborate with product and design teams to refine feature specifications and user experiences.
  • Stay updated with the latest advancements in AI and machine learning, applying relevant innovations to our products.
  • Contribute to the continuous improvement of development processes and team practices.

Required Skills:

  • At least 3 years of professional experience in software development, with 2+ years focused on bolt ai in production environments.
  • Proficiency in TypeScript and Python, with a strong understanding of their application in AI and frontend development.
  • Demonstrated ability to debug complex issues in production environments, employing effective problem-solving techniques.
  • Experience with unit and integration testing, using frameworks like Jest and Cypress to ensure code reliability.
  • Proficient in Git for version control, with experience managing branches and resolving merge conflicts.
  • Solid understanding of API integration, including RESTful and GraphQL, to connect AI services with frontend applications.
  • Awareness of performance optimization techniques, ensuring AI features run efficiently in production.
  • Ability to accurately estimate feature development time, balancing speed and quality in delivery.
  • Strong communication skills, capable of articulating technical concepts to both technical and non-technical stakeholders.

Nice to Have:

  • Experience with advanced frameworks such as TensorFlow or PyTorch for developing complex AI models.
  • Familiarity with design systems and component libraries like Material-UI or Ant Design.
  • Understanding of visual regression testing and tools like Percy or Chromatic for UI consistency.
  • Experience in ensuring accessibility compliance using ARIA standards and tools like Axe.
  • Knowledge of internationalization (i18n) practices to support multi-language applications.
  • Exposure to cloud platforms and CDNs like AWS or Cloudflare to enhance application performance and scalability.
  • Experience working in regulated industries such as healthcare or finance, understanding compliance requirements.
  • Familiarity with analytics and experimentation tools like Google Analytics or Optimizely for data-driven decision-making.

Interview Process:

  1. Initial Screening (30 minutes): A conversation with our recruiter to discuss your background, interests, and alignment with the Mid-Level Bolt AI Specialist role.
  2. Technical Assessment (60 minutes): A coding exercise focused on bolt ai, evaluating your problem-solving skills and technical proficiency.
  3. Technical Interview (90 minutes): A deep dive into your technical experience, including a practical bolt ai scenario to assess your ability to apply AI concepts in real-world situations.
  4. Team Fit Interview (60 minutes): Meet with potential team members to discuss collaboration, work style, and cultural fit within our organization.
  5. Final Interview (60 minutes): A discussion with senior leadership to explore your long-term career goals and how they align with our company's vision.

Perks and Benefits:

  • Competitive compensation package, including performance-based bonuses and potential equity options.
  • Comprehensive healthcare coverage, including medical, dental, and vision plans.
  • Generous paid time off (PTO) policy, encouraging work-life balance and personal well-being.
  • Annual learning and development budget to support your professional growth and skill enhancement.
  • Remote and hybrid work options, providing flexibility to work from home or the office as needed.
  • State-of-the-art equipment and technology setup, ensuring you have the tools needed for success.
  • 401(k) retirement plan with company matching to support your financial future.
  • Opportunities for career progression and leadership development within a growing company.
  • Engaging engineering culture that values innovation, collaboration, and continuous improvement.
  • Access to wellness programs and resources to support your physical and mental health.

Salary Expectations:

The expected salary range for a Mid-Level Bolt AI Specialist in 2026 is between $90,000 and $120,000 USD annually. This range may vary based on factors such as geographic location, company size, industry, and the specific skills and experience you bring to the role. Additional compensation in the form of bonuses, equity, or other incentives may also be available, particularly in high-demand markets or specialized industries. Remote and hybrid work arrangements could further influence salary expectations, offering flexibility in exchange for competitive compensation.

About the Author

  • Author icon

    By Mehmet A.

  • ✓ Verified Expert
  • Experience icon

    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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Profile of Puneet K., Lead Software Engineer - AI, Python and Fullstack Platforms at Softaims
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Puneet K., Lead Software Engineer - AI, Python and Fullstack Platforms at Softaims

Puneet K.

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Kurali
Puneet K. | SoftaimsMember Since 2016
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Zachary A.

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Zeeshan J., Lead Software Engineer - AI, Python and Fullstack at Softaims

Zeeshan J.

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Timezone: UTC+05:30UTC+05:30
Country: IndiaIndia
Bengaluru
Zeeshan J. | SoftaimsMember Since 2015
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Prince J.

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Country: United KingdomUnited Kingdom
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Shae S.

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Amaan A., Senior Full-Stack Engineer - AI, Python and AI Platforms at Softaims

Amaan A.

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Timezone: UTC+01:00UTC+01:00
Country: United KingdomUnited Kingdom
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Michael J., Lead Software Engineer - AI, Python and Fullstack at Softaims

Michael J.

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Timezone: UTC-09:00UTC-09:00
Country: United StatesUnited States
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Michael J. | SoftaimsMember Since 2018
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Mohsin M., Lead Software Engineer - AI, Python and Fullstack at Softaims

Mohsin M.

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Timezone: UTC+02:00UTC+02:00
Country: GermanyGermany
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Mohsin M. | SoftaimsMember Since 2018
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Eric E., Lead Software Engineer - AI, Python and Fullstack at Softaims

Eric E.

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Timezone: UTC-09:00UTC-09:00
Country: United StatesUnited States
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Eric E. | SoftaimsMember Since 2014
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Profile of Alexander L., Senior Full-Stack Engineer - AI, Python and AI Platforms at Softaims
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Softaims
Alexander L., Senior Full-Stack Engineer - AI, Python and AI Platforms at Softaims

Alexander L.

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Timezone: UTC+03:00UTC+03:00
Country: UkraineUkraine
Kyiv
Alexander L. | SoftaimsMember Since 2020
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Working with Softaims allowed us to quickly onboard highly skilled engineers who integrated seamlessly with our team. The experience was smooth and the results exceeded our expectations.

The Softaims platform gave us access to developers who immediately added value. Their expertise and professionalism made the entire process seamless.

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