As a Senior Python Engineer define, own and maintain the services your team owns from our service catalogue. Work with the product team to select technology partners. Make key contributions to our Community of Practice. You will apply your extensive experience on our problem domain and existing guidelines to become a true beacon of best practices among your fellow engineers.

Play a critical role in architecting and developing robust web applications that support AI-powered tools, using Python as your primary language. You’ll have the opportunity to work on a cutting-edge platform while gaining exposure to AI technologies, making a real-world impact through your work in this individual contributor role. You will also optimize system performance and ensure the reliability and scalability of applications.

Your main focus as an AI Software Engineer will be to design and develop Python-based solutions for AI applications involving integrating multiple Large Language Models (LLMs) using LangChain and optimizing AI workflows within the platform.

Develop and maintain AI-driven applications leveraging LLMs, RAG (Retrieval-Augmented Generation), and AI agent frameworks; Design, implement, and optimize APIs and microservices, ensuring scalability and performance. Work with various database systems, including relational, NoSQL, and vector databases. The position merges cutting-edge AI development with scalable cloud solutions with continuous learning and growth.

We’re seeking a Staff Software Engineer to join our talented, ambitious team to design, develop, and deploy scalable systems that drive our generative AI platform. You’ll work closely with our product and AI teams, and build real-time interfaces and high-performance APIs that give our users a seamless experience.

You will build and enhance AI features, improve private API speed, and integrate multiple services to deliver high-quality images to our users. You’ll collaborate with the AI Tools squad implement and improve AI features in the Photoroom app, design and architect new features, chaining a mix of internal and external services, and monitor and scale the growing load on the FastAPI service.

We’re looking for an RL researcher or practitioner who will apply reinforcement learning to solve real-world customer communication challenges. You'll work closely with the CTO and Engineering team to improve sample efficiency, test credit assignment and attribution algorithms, investigate and improve our approach to action space featurization, reward shaping, and combining RL with constrained optimization.

Help enterprise clients translate their requirements into functional and appealing interactive applications by building server-side components. Be outcome driven and deliver the best-quality output for clients within specific timeframes. Work in high-performing software teams distributed across different locations, and support system design, development and maintenance.