Senior Backend Engineer: AI/LLM & Voice Systems

Synthio Labs; California; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Synthio Labs is seeking a hands-on Software Engineer to build end-to-end systems in a fast-moving team. You will work on AI-driven, voice-enabled applications and own services from design through production.

The role emphasizes reliability, performance, and pragmatic decision-making across the stack. The ideal candidate has 2–5 years of backend experience, strong Python skills, and hands-on work with LLM APIs and cloud infrastructure.

Qualifications

• 2–5 years of backend-focused software experience.
• Strong Python proficiency.
• Experience with API design and backend systems.
• Hands-on with LLM APIs (OpenAI, Anthropic, or similar).
• Cloud and DevOps basics (Docker, AWS).

Responsibilities

• Build and maintain backend services powering AI- and LLM-driven products.
• Design APIs, data flows, and service integrations.
• Productionize LLM-based workflows (prompting, retrieval, orchestration).
• Deploy and operate services with low latency and high availability.
• Design and manage infrastructure (containers, cloud, CI/CD).
• Work on voice-enabled systems (STT/TTS, streaming APIs).
• Monitor, debug, and optimise performance, reliability, and cost.
• Collaborate with founders and product stakeholders to turn ambiguous requirements into scalable software.
• Own features and services end-to-end, from initial design to production support.

Skills

Python

API design

LLM APIs

Cloud infrastructure

DevOps basics

System architecture

Independent thinking

Tools

Docker

AWS

CI/CD pipelines

Job description

Synthio Labs is seeking a hands-on Software Engineer to build end-to-end systems in a fast-moving team. You will work on AI-driven, voice-enabled applications and own services from design through production.

The role emphasizes reliability, performance, and pragmatic decision-making across the stack. The ideal candidate has 2–5 years of backend experience, strong Python skills, and hands-on work with LLM APIs and cloud infrastructure.