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Software Engineer (Applied AI)

What's Freeplay?

Freeplay is the platform for software teams to ship great AI products. We give product development teams the power to test, evaluate, monitor & optimize AI in production. Our customers use Freeplay to to build better LLM features, chatbots, and agents. Already we’re helping leading software companies from growing startups to Fortune 100 companies.

Why does the world need Freeplay?

Making simple requests to ChatGPT is easy. But that building production software around LLMs is much more challenging — especially for development teams without prior AI experience. They're motivated to move fast through the learning curve and focus on delivering value to customers.

Freeplay streamlines this process — making it easy for teams to develop & improve production-ready AI features quickly and confidently. Our customers love that we help them save time, avoid costly mistakes, deliver better features for their customers, and empower their entire team (engineers & non-engineers alike) to ship faster together.

Read more about what we’re up to on our blog.

Your Mission

First and foremost, you'll be a core member of our engineering team, working across our entire stack. While you bring deep applied AI expertise, this is fundamentally a full stack engineering role where you'll contribute broadly to our platform's development and use your AI experience to guide and impact what we build.

  • Architect AI-first systems: Design and implement robust architectures for AI-powered features, focusing on things like evaluation frameworks, testing harnesses, and monitoring systems that ensure reliable production deployment of LLM-based features.

  • Drive AI development practices: Define and implement best practices for prompt engineering, evaluation, and testing methodologies. Stay at the forefront of emerging techniques in AI development, bringing insights from academic research into practical engineering solutions.

  • Shape developer experience: Design and build intuitive APIs, workflows, and tools that make complex AI testing and evaluation accessible to developers without AI/ML backgrounds. Draw from your experience with existing AI frameworks and tooling to create delightful developer experiences that help teams ship confidently.

  • Build evaluation infrastructure: Create comprehensive testing and evaluation frameworks that enable teams to measure, compare, and optimize their AI features across multiple dimensions including accuracy, reliability, toxicity, and performance.

  • Build alongside the founding team: Work hand-in-hand with our founding team to ideate, prototype, and deliver innovative solutions that address user needs and create value for our customers.

  • Shape our engineering culture & process: Implement rigorous testing, code reviews, and continuous integration processes to maintain high-quality, production-ready code while minimizing technical debt.

We’d love to hear from you if…

  • You have a minimum of 5 years full-time professional experience in software engineering with at least a year of experience building with Generative AI in production.

  • You have a strong product sense and ability to leverage your technical expertise to solve customer and business problems.

  • You’re a pro-social, strong communicator that enjoys working on a tight-knit collaborative team.

  • Working on a team that cares as much about how we work as much as the code we write sounds exciting.

  • Our company values resonate with you.

  • The way we run our Engineering team resonates with you and helping further shape and define this sounds invigorating.

  • Are eager to work on-site*, in-person 3+ days a week at a beautiful office at the base of the Rockies in Boulder, CO

The details

  • Competitive salary and equity package

  • Benefits including medical, dental, vision

  • Top of the line hardware - brand new Macbook, monitor, peripherals

  • Four weeks Paid Time Off per year (we actually want you to use it)

  • Relocation assistance negotiable*

* We have a preference for candidates available to work at least a couple days per week on-site in Boulder, CO. We are open to considering exceptional remote candidates, though we do ask for a commitment to travel and spend time regularly with our team in person.

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 Software Engineer (Applied AI), Freeplay

Join Freeplay as a Software Engineer (Applied AI) and be at the forefront of transforming how software teams develop and deploy AI products. Nestled in the scenic Boulder, our team is dedicated to simplifying the complexities of AI development for products like LLM features, chatbots, and more. In this role, you'll not only leverage your deep knowledge of applied AI but will also wear many hats as a full stack engineer, contributing to the design and implementation of robust architectures that drive our innovative platform. You’ll architect AI-first systems, establish best practices in prompt engineering, and help create a seamless developer experience for teams without prior AI expertise. Your mission will also include building comprehensive testing frameworks that ensure high-quality, reliable AI features with accuracy and performance in mind. Here, we believe in teamwork, collaboration, and shaping our engineering culture, and your insights will directly influence how we work together and the solutions we deliver. If you're excited to work closely with our founding team, help define our engineering processes, and make a tangible impact in the AI landscape, we want to hear from you. Come and contribute to a vibrant team culture at Freeplay, where your skills can truly shine while working at our beautiful office at the base of the Rockies.

Frequently Asked Questions (FAQs) for Software Engineer (Applied AI) Role at Freeplay
What are the key responsibilities of a Software Engineer (Applied AI) at Freeplay?

As a Software Engineer (Applied AI) at Freeplay, you'll be responsible for architecting AI-first systems, driving AI development practices, shaping developer experiences, and building evaluation infrastructure. You will collaborate closely with our founding team to develop and enhance robust architectures for AI-powered features and ensure reliable production deployments. Additionally, you'll create intuitive tools and APIs that make AI testing accessible, helping to foster an enjoyable environment for both seasoned engineers and those new to AI.

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What qualifications are required for the Software Engineer (Applied AI) position at Freeplay?

To qualify for the Software Engineer (Applied AI) position at Freeplay, candidates should have a minimum of 5 years of professional software engineering experience, with at least one year dedicated to building production solutions using Generative AI. A strong product sense, exceptional communication skills, and the ability to work collaboratively within a tight-knit team are also essential. Familiarity with rigorous testing practices and a desire to shape engineering culture will be highly valued.

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What makes Freeplay a unique opportunity for a Software Engineer (Applied AI)?

At Freeplay, software engineers have the unique opportunity to work on an innovative platform that empowers teams to build better AI products without prior experience in the field. The approach we take toward product development prioritizes rapid learning and collaboration, allowing engineers to apply their expertise in meaningful ways. Furthermore, engineers have the chance to work in a beautiful setting in Boulder, CO, while enjoying a culture that values work-life balance and personal growth.

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How does Freeplay support its Software Engineers (Applied AI) in professional development?

Freeplay is committed to the professional growth of its Software Engineers (Applied AI) through a supportive and collaborative culture. The company encourages continuous learning by staying updated with emerging AI practices and incorporating insights from academic research into engineering solutions. Engineers are also encouraged to actively participate in shaping the company's engineering processes, fostering an environment where everyone's voice matters and professional development is prioritized.

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What type of work environment can a Software Engineer (Applied AI) expect at Freeplay?

As a Software Engineer (Applied AI) at Freeplay, you can expect a lively and collaborative work environment that emphasizes teamwork and cooperation. We value how we work just as much as the code we write, creating a culture of respect and inclusivity. With opportunities to work closely with the founding team and engage in hands-on development, you'll enjoy a stimulating atmosphere in our beautiful Boulder office, all while having the flexibility of hybrid working arrangements.

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Common Interview Questions for Software Engineer (Applied AI)
Can you describe your experience with applied AI and how it relates to software development?

In answering this question, highlight specific projects where you've directly applied AI technologies in software development. Discuss particular challenges you faced and how you overcame them. Be sure to connect your applied AI experience to the needs of Freeplay's platform, showcasing your understanding of what makes AI solutions successful in production environments.

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How do you approach building evaluation frameworks for AI features?

To answer this question, explain your methodology for creating evaluation frameworks that ensure the quality and reliability of AI features. Include details on the metrics you consider, such as accuracy and performance, and how you test and iterate on these frameworks. Making a connection to the specific needs you anticipate at Freeplay will demonstrate your fit for the role.

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What best practices do you recommend for prompt engineering?

When addressing this question, share your experience with various prompt engineering techniques and provide examples of successful implementations. Discuss how you define and refine prompts, emphasizing their role in optimizing AI responses. Relate your answers back to Freeplay’s mission to enhance developer experiences and production-ready AI features.

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Can you discuss a time when you collaborated on a tight-knit team to deliver a successful project?

In your response, narrate a specific project where teamwork was crucial. Emphasize the roles of each team member and how collective communication and brainstorming led to achieving project goals. Authenticity and engagement with the process would help illustrate your fit within Freeplay's collaborative culture.

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How do you stay updated on emerging trends and technologies in AI?

To effectively answer this question, mention the resources you leverage, such as blogs, academic publications, or conferences. You could discuss how you incorporate new findings into your work and any specific examples of how staying informed has benefited your previous projects. Relating this to Freeplay's need for continuous improvement in AI development will enhance your response.

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What is your approach to implementing testing and continuous integration in your projects?

Detail your process for incorporating testing and CI in software development, explaining the tools and methodologies you typically use. Mention how this practice can lead to higher-quality code and faster delivery times. Relating this to Freeplay’s commitment to rigorous testing will show your alignment with their goals.

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How do you handle technical debt within a project?

In answering this, share your strategies for identifying and prioritizing technical debt. Discuss instances where you've successfully managed debt through refactoring or improved documentation. Connecting your practices to Freeplay's emphasis on maintaining high-quality production-ready code will illustrate your thought process.

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Describe a challenging problem you solved using AI.

Discuss a specific challenge, detailing the problem, the AI techniques you applied, and the outcome. Focus on your thought process in choosing a particular approach and any insights gained from the experience. This could highlight your applied AI expertise relevant to the Software Engineer role at Freeplay.

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What tools and frameworks do you find essential in AI development?

List and explain the tools you have used in previous roles, discussing why they are effective in addressing specific challenges. Being able to convey how these tools can be beneficial to Freeplay's existing processes would demonstrate valuable insight.

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How would you design an API for an AI-driven feature?

In your response, outline the key considerations you would keep in mind when designing an API, including usability, efficiency, and documentation. Providing an example from past experience to illustrate your competencies will add depth and showcase your fit for creating enjoyable developer experiences at Freeplay.

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DATE POSTED
January 3, 2025

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