Senior Full Stack Software Engineer, Hiya

• Experience in backend engineering; ideally including low-level languages, streaming APIs and media pipelines
• A desire to own design and architecture end to end
• A philosophy of iteration and continuous improvement
• Understanding customer needs first and providing solutions primarily based on that
• Excellent communication and self-organization skills including working within and with other remote teams
• An interest in exploring AI use cases, including LLM prompt engineering or model API integration and beyond
• 4+ years of relevant work experience
• Experience with the previously listed technologies or similar alternatives, and a strong desire and interest to learn the ones you may not be familiar with
• Proficient at collaborating and communicating with both local and remote team members in English
• Travel Requirements: Yes. Once a year travel to Seattle for the company off-site. Additional travel might be required to Spain and Budapest

Desirable

• This position is part of the Audio Intelligence team at Hiya, who works on building solutions for audio and speech leveraging AI and Deep Learning
• Some of our products and models include for example AI Voice Deepfake Detection, Voice Authentication and Voice AI Agents
• Some of them are served via API for developers to build on top of (you can check our documentation here) in use cases like contact center operations, communications platforms or media fact checking; others are served as part of a no-code SaaS platform
• The Senior Software Engineer is an Individual Contributor (IC) position whose main responsibility is to continuously evolve the architecture of our SaaS platform composed of aREST API, a web console and different demos and integrations
• You’ll take part in the design of new services and flows involving CRUD operations, audio streaming and model inference
• While the role is primarily backend-focused, you’ll also have opportunities to collaborate with our R&D and product teams on integrating and experimenting with AI models, both LLMs as well as other architectures
• This includes tasks like designing prompts for AI-driven features, consuming external model APIs, and contributing to lightweight model-in-the-loop systems
• Build and maintain REST/gRPC backend services using Rust and Typescript
• Build and maintain frontend services using SvelteKit
• Design and maintain relational databases using Postgres
• Write unit/integration/E2E/stress tests using Rust, Typescript and Python
• Write and maintain API documentation using OpenAPI and Docusaurus
• Build CI pipelines using GitHub Actions
• Containerize services using Docker and deploy them to a K8s cluster
• Debug in staging and production environments using GCP tools
• Integrate LLM-based features into the product (e.g., prompt engineering, calling AI endpoints, interpreting responses)
• Reports to: Director of Product
• Direct Reports: No

• Start Date: Immediately