DevJobs

Senior Backend Engineer

Overview
Skills
  • SQL SQL
  • Python Python
  • Go Go
  • Redis Redis
  • PostgreSQL PostgreSQL
  • NoSQL NoSQL
  • MongoDB MongoDB
  • AWS AWS
  • Azure Azure
  • GCP GCP
  • Docker Docker
  • Kubernetes Kubernetes
  • LLM integration
  • Vector databases
  • Prompt engineering
  • Model APIs
  • Message queuing systems
  • AI
  • Monitoring LLM performance
  • Gin
  • FastAPI
  • Echo
  • Cost optimization
  • AI observability

Company Description


Linguana is an AI-first media startup that localizes and manages video content at scale. Using advanced LLMs, neural voice synthesis, and proprietary AI models, the company automates translation and dubbing for millions of minutes of content across platforms like YouTube and major streaming services. Linguana enables creators and brands to reach global audiences without lifting a finger — handling everything from localization to repurposing video into new formats such as ads, clips, and promotional assets. Based in Tel Aviv.


Role Description


This is a full-time, on-site Senior Backend Engineer role based in Tel Aviv. The Senior Backend Engineer will architect and scale the backend systems powering Linguana's AI-driven platform. Day-to-day responsibilities include designing high-performance services in Golang and Python, integrating cutting-edge LLM technologies across multiple providers, developing end-to-end features in close collaboration with product, AI research, and engineering teams, and driving technical decisions that balance performance, cost, and user experience in an AI-first architecture.


Qualifications

  • 6+ years of experience architecting, deploying, and maintaining scalable, distributed backend systems
  • Strong expertise in Golang and Python, with experience in frameworks like FastAPI, Gin, or Echo
  • Proven experience with AI/LLM integration — prompt engineering, model APIs, vector databases, and building AI-powered applications
  • Solid foundation in SQL and NoSQL databases (PostgreSQL, MongoDB, Redis) and message queuing systems
  • Cloud infrastructure experience (AWS, GCP, or Azure) with containerization and orchestration (Docker, Kubernetes)
  • Experience with AI observability, monitoring LLM performance, cost optimization, and building reliable AI systems at scale
  • Product-minded engineer who can translate complex AI capabilities into user-facing features, driving innovation beyond technical specifications
  • Strong problem-solving skills with the ability to thrive in a fast-paced, AI-driven startup environment
  • WFO In Tel Aviv
Linguana