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Freeplay.AI

Forward Deployed AI Engineer

Reposted 3 Days Ago
In-Office or Remote
8 Locations
145K-180K Annually
Mid level
In-Office or Remote
8 Locations
145K-180K Annually
Mid level
As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.
The summary above was generated by 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

  • Customer Engagement: Be the face of Freeplay to our customers. Lead workshops, prototype solutions, and guide them through the implementation process to get the most out of using Freeplay.

  • Technical Leadership: Leverage your deep understanding of the generative AI landscape — especially testing, evaluation and optimization techniques for LLMs and RAG systems — to show how Freeplay can best be used.

  • Problem Solving: Work closely with customers to identify their specific challenges and help them solve those with a combination of using Freeplay and adopting industry best practices.

  • Documentation and Knowledge Sharing: Act as the owner of our customer-facing documentation, ensuring it's simple, comprehensive, up-to-date, and useful. Share your expertise with both customers and internal teams.

  • Customer Support: Provide top-tier technical support, troubleshooting complex issues and ensuring our customers get the most out of our platform.

  • Product Feedback Loop: Collaborate with our product team to share insights from the front lines, driving the evolution of our platform based on real-world use cases.

  • Make It Scalable: Build the internal playbooks, account plans, and other operational systems to scale the work you do — both for yourself, and future hires.

Why now?

  • Be a Leader: Work at the heart of the generative AI ecosystem with top-tier companies transforming their products for their customers.

  • Accelerate Your Career: Grow with a team that values your insight and energy, offering you the canvas to create results.

  • A Product That’s Working: Our customers love what we’re building and talk about the impact it’s making for them.

We’d love to hear from you if…

  • You have a strong technical background in software engineering or data science, ideally with prior experience in AI and machine learning. This role requires the ability to write and debug code, e.g. for sample applications or to troubleshoot for customers.

  • You're an excellent communicator, both written and verbal, able to explain complex technical concepts to diverse audiences.

  • You're passionate about AI and stay up-to-date with the latest developments in the field.

  • You have a knack for problem-solving and can think creatively to address unique customer challenges.

  • You're comfortable leading workshops and giving presentations.

  • You have experience in prototyping and rapid development of software solutions for customers.

  • You're excited about the prospect of wearing multiple hats and adapting to the evolving needs of a fast-growing startup.

  • You’re extremely well organized and enjoy putting together documentation and processes that add structure to your work.

  • Bonus points if:

    • You already possess deep knowledge of the current AI landscape LLMs and RAG.

    • You have experience in customer-facing roles, ideally in a technical capacity.

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.

Top Skills

AI
Llms
Machine Learning
Rag Systems
Software Engineering

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