The role
As an Applied AI Engineer at Mainframe, you will play a critical role in the development of AI-driven features that impact users directly. You will stay ahead of the latest trends in large language models (LLMs) and applied AI, working closely with our cross-functional team to create cutting-edge tools that deliver real value. You will be an integral part of our growing team, helping us scale to the next level of innovation.
In this role you will:
- Lead the development and deployment of AI-powered features from concept to production.
- Build and refine evaluation frameworks to optimize AI models, including prompt engineering and retrieval techniques.
- Implement and optimize embeddings and vector-based search for scalability and performance.
- Collaborate with users to understand their needs and rapidly iterate on AI-driven solutions that address real-world challenges.
- Stay up-to-date with the latest developments in LLMs and AI technologies, applying these insights to improve Mainframe’s products.
- Work closely with engineers, designers, and the founding team to bring cutting-edge ideas to life.
- Experiment with cutting edge AI models and APIs alongside other engineers, designers and design engineers.
Qualifications
- 5+ years of relevant engineering experience, preferably in AI or product-driven companies.
- Proven experience in shipping AI or LLM-based solutions to production environments.
- Familiarity with semantic search, retrieval-augmented generation (RAG), embeddings, and vector databases.
- Proficiency in Python, TypeScript, or similar, and frameworks like Next.js
- Strong ability to build features end-to-end, with a focus on delivering high-impact solutions.
- Ability to thrive in a fast-paced, dynamic startup environment with evolving priorities.
Nice to haves
- Are passionate about building world-class products using LLMs and applied AI.
- Love to experiment with the latest AI tools, keeping up with trends and figuring out how to push the limits of AI capabilities.