Senior Backend Engineer - AI
Role details
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Tech stack
Job description
As a Senior Engineer within our Audio Intelligence team, you'll help build leading-edge audio and speech solutions leveraging AI and Deep Learning. Our products range from AI Voice Deepfake Detection, Voice Authentication, and Voice AI Agents-delivered either via APIs for developer use or as part of a no-code SaaS platform.
You'll be an individual contributor (IC) focused on evolving our SaaS architecture: REST APIs, web consoles, demos, and integrations. You'll help design new services and flows involving CRUD operations, audio streaming, and AI model inference.
While backend-focused, you'll work closely with R&D and Product teams to integrate and experiment with AI models, including designing prompts, consuming external model APIs, and building model-in-the-loop systems. What You'll Do
- Build and maintain REST/gRPC backend services (TypeScript, Node.js; Rust a plus)
- Build web applications and agent interfaces using React or SvelteKit
- Integrate LLMs via APIs (prompt engineering, tool calling, RAG)
- Manage Postgres-backed databases and deployments with Docker/Kubernetes (GCP)
Requirements
- 4+ years of backend or full-stack engineering experience
- Experience (or strong interest) in applied AI: using LLMs, building agents, or integrating model APIs
- Strong product sense and ownership
- Comfort in a fast-paced, customer-facing environment
- Familiarity with cloud infrastructure (ideally GCP) and CI/CD pipelines
- Desire to use AI tools to improve development speed and quality
- Excellent communication and self-organization skills, including remote teamwork
Bonus Points
- Experience with agentic workflows (OpenAI, Anthropic, or similar APIs)
- Experience with streaming APIs, media pipelines, or voice AI platforms
- Knowledge of telephony protocols (SIP, VoIP)
- LLM evaluation techniques (A/B tests, GPT-judge, synthetic data)
- Interest in conversational UX or real-time AI applications
You'll hit the ground running if you have experience with:
- Rust, TypeScript
- GCP, Kubernetes, Postgres
- LLMs via API, prompt engineering, RAG, or orchestrating model pipelines
Benefits & conditions
Don't meet every single requirement? If your skills are transferable, we still want to hear from you.