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AI Engineer

Factory is looking for innovative AI Engineers to build and evolve cutting-edge AI systems that transform how software organizations accelerate their productivity and innovation.

What you will do and achieve:

  • Innovate at the forefront of AI by designing, developing, and deploying AI-driven agentic systems that enhance Factory's core AI capabilities

  • Work with product and engineering teams to integrate emerging AI research findings into practical, customer-centric solutions

  • Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises

  • Take the initiative in identifying and addressing product stability and scalability challenges, ensuring the Factory Platform reliably supports large-scale operational demands

  • Lead the exploration and integration of large-scale data processing techniques to improve the reliability and effectiveness of our AI systems

Qualifications

  • 2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.

  • Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas.

  • Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment.

  • Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation.

  • Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory.

  • This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)

Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Engineer, Factory

Join Factory as an AI Engineer in the vibrant city of San Francisco, where innovation meets technology! As an AI Engineer, you'll be at the forefront of developing AI-driven systems designed to revolutionize productivity in software organizations. Your day-to-day will consist of designing, developing, and deploying cutting-edge AI functionalities that enrich Factory’s core systems. You'll get to collaborate with our dynamic product and engineering teams to translate the latest AI research into real-world, customer-focused solutions. Imagine engaging in rapid prototyping and refining AI features based on valuable feedback from users – how rewarding is that? You will also take the lead in identifying challenges around product stability and scalability, ensuring our platform can handle large-scale operations smoothly. If you're passionate about integrating large-scale data processing techniques to boost the effectiveness of AI systems, this role is perfect for you. With a minimum of two years’ experience in AI/ML and a degree in Computer Science or a related field, you’ll bring demonstrated expertise, preferably in applying AI solutions within software engineering. If you are self-motivated, enjoy tackling ambiguous challenges, and possess excellent communication skills to share innovative ideas, consider joining our team. If you are looking for a collaborative environment where your contributions can drive noticeable change, Factory is waiting for your unique skills and perspective!

Frequently Asked Questions (FAQs) for AI Engineer Role at Factory
What are the key responsibilities of an AI Engineer at Factory?

As an AI Engineer at Factory, your main responsibilities include designing, developing, and deploying innovative AI-driven systems that transform productivity. You will work closely with product and engineering teams to integrate emerging AI research into customer-centric solutions, and engage in rapid prototyping to refine AI functionalities based on real user feedback. Additionally, you will address product stability and scalability challenges, ensuring that the Factory Platform meets large-scale operational demands effectively.

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What qualifications do I need to become an AI Engineer at Factory?

To qualify for the AI Engineer position at Factory, you should possess at least 2 years of hands-on experience in AI and ML engineering roles, supported by a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field. It's essential to have demonstrated proficiency with large language models (LLMs) and a proven track record of solving complex, unstructured problems using AI/ML techniques, preferably in software engineering.

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What skills are essential for success as an AI Engineer at Factory?

Essential skills for success in the AI Engineer position at Factory include strong communication skills for articulating technical concepts clearly, a self-motivated and autonomous work ethic, and the ability to tackle ambiguous research projects. Familiarity with data-intensive applications and knowledge of the software development lifecycle are also highly desirable. A strategic mindset oriented toward innovation is crucial.

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Is the AI Engineer position at Factory remote or in-office?

The AI Engineer position at Factory is an in-office role that requires you to work on-site in San Francisco, five days a week. Being in a collaborative environment will enhance your contributions and foster team synergy as you design and innovate AI solutions.

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What types of projects will I work on as an AI Engineer at Factory?

As an AI Engineer at Factory, you will work on a variety of projects that focus on building and evolving AI-driven systems. These projects will involve integrating cutting-edge AI research into practical solutions that enhance productivity for software organizations. You'll also lead efforts to refine functionalities and improve the reliability of AI systems through large-scale data processing techniques.

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Common Interview Questions for AI Engineer
Can you describe your experience with AI and machine learning technologies?

When answering this question, provide specific examples from your past roles where you applied AI or machine learning. Highlight the technologies and frameworks you used, the problems you solved, and the impact of your solutions, especially if they relate to software engineering.

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What innovative AI project have you led in the past?

Use this opportunity to showcase your leadership skills. Describe the project's goals, your role in driving it forward, the outcome, and how it benefited the organization. The emphasis should be on your innovation and problem-solving capabilities.

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How do you approach product stability and scalability challenges?

Discuss your methodology for identifying potential challenges and how you address them. Provide examples where possible, showing how you have successfully ensured product stability and scalability in previous roles.

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What strategies do you use for rapid prototyping in AI development?

Talk about your approach to rapid prototyping, including the tools and techniques you use, and the importance of iterative development and user feedback. Share experiences where this has led to successful AI functionality enhancements.

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How do you stay updated on the latest AI research and advancements?

Explain your commitment to ongoing learning in the field of AI. Mention resources, such as journals, conferences, and online courses that you follow, and emphasize how this influences your work and innovation at Factory.

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Can you describe a time when you solved a complex, unstructured problem using AI?

Provide a detailed example of a complex problem you faced, your approach to analyzing it using AI methodologies, and the successful outcome. This showcases your problem-solving skills in a real-world context.

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What is your experience with large language models in AI applications?

Detail your experience with large language models, including any specific applications you have developed or worked on. Discuss how these models can enhance software engineering practices.

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How do you communicate complex technical concepts to non-technical stakeholders?

Share strategies you use to simplify complex concepts, such as using analogies, visuals, and examples. Illustrate with instances where your communication facilitated understanding among non-technical team members.

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What do you think are the future trends in AI technology?

Share your insights about future trends in AI technology, supported by research or personal observations. Discuss how these trends could impact the industry and your role at Factory.

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Why do you want to work at Factory as an AI Engineer?

Tailor your response to exemplify your interest in Factory's mission and values. Mention how your personal career goals align with the company's innovative approach in the AI space, and why you believe you would be a valuable asset to the team.

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Our story actually dates back to 1996 when we started building and integrating computers & networks; as well developing some early web sites. As the Internet evolved, so did we; in 2000 we launched HTTP Factory, Inc. - reflecting our focus on deli...

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Full-time, on-site
DATE POSTED
March 26, 2025

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