Software Engineering Intern contributing to Tonal’s product roadmap while developing AI - assisted automation solutions. Collaborating with engineering teams to leverage new technologies and boost productivity.
About the role
- AI Engineer responsible for integrating AI solutions into Cambio's platform. Provide product innovation and automation tools for enhanced customer experience in real estate technology.
Responsibilities
- Build & Ship AI Based Features – Design, implement, and optimize AI-driven features for the platform, enhancing customer experience and business impact.
- AI-Powered Automation & Tooling – Develop LLM-based internal automation tools to streamline workflows, reduce manual effort, and improve team productivity.
- Scalable AI Infrastructure – Build and maintain a ML/LLM pipeline, ensuring robust, efficient, and scalable deployments.
- Performance & Cost Optimization – Improve AI model performance, balancing speed, quality, and infrastructure costs.
- Cross-Functional Collaboration – Work with product, engineering, and data teams to define AI/LLM use cases and share best practices.
Requirements
- 5+ years of experience in software engineering, including system design, distributed systems, API development, and CI/CD.
- 1+ years of experience developing AI-powered products
- Strong proficiency in Python with hands-on expertise in LLMs.
- Problem-Solving Mindset: Ability to tackle ambiguous AI challenges and develop scalable, efficient AI solutions.
- Collaboration & Communication: Comfortable working with engineers, data scientists, and product teams to define and implement AI-driven features.
- (Bonus) Experience with building and deploying AI agents, AI frameworks such as LangChain, RAG (Retrieval-Augmented Generation) pipelines and vector databases.
Benefits
- Competitive compensation + meaningful early-stage equity
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