Senior Full-Stack Developer (AI Speech Analytics)
Senior Full-Stack Developer (AI Speech Analytics)
Ender Turing is building conversation intelligence systems used in real production environments at scale.
We ship fast, iterate relentlessly, and turn AI into measurable operational impact for global customers.
What You'll Build
You won’t just implement tickets. You’ll shape architecture, influence product decisions, and own systems end-to-end.
- Core platform development: FastAPI/Python backend services processing large volumes of conversations daily.
- Real-time analytics: Vue 3/TypeScript dashboards with WebSocket streaming and data visualizations.
- AI integration: LLM-powered features for transcription, sentiment, and summaries.
- Scalable architecture: Docker/Kubernetes deployments, Celery task queues, OpenSearch clusters.
- Integration pipelines: CRM and CC integrations (Zendesk, Genesys, Vicidial, and others).
Your Tech Stack
- Backend: Python 3.11+, FastAPI, SQLAlchemy, Celery, Redis, PostgreSQL
- Frontend: Vue 3, TypeScript, Vuetify, Vite, Charting, WebSockets
- AI/ML: LLM APIs, audio/speech processing pipelines
- Infrastructure: Docker, Kubernetes, AWS/GCP, OpenSearch, Traefik
- Tooling: Git, GitHub Actions, pre-commit, pytest
Non-Negotiable Requirements
- Experience: 5+ years shipping production code.
- AI-native workflow: you use AI coding tools daily to move faster, and you can validate outputs critically.
- Full-stack capable: comfortable switching between Python services and Vue components.
- Self-directed: you solve problems end-to-end without hand-holding.
- Execution speed: you ship frequently and handle production feedback loops.
What We Offer
- Direct impact: your code reaches production quickly.
- High learning velocity: work with engineers who build for real scale.
- Modern stack and pragmatic tooling.
- Remote-first: work from anywhere with reliable internet.
Interview Process
- HR interview: background, motivation, expectations.
- Founder chat: alignment and working style.
- Technical screen: discuss real systems and your experience.
- Technical deep-dive: screen share, live coding, architecture discussion.
- Take-home: small feature addition (1–2 hours max).
Apply
Send your GitHub, a project you’re proud of, and a short note on why startups, why now, and why Ender Turing.
Apply for this position Send your CV or profile, the samples the role asks for, and a short note on why startups, why now, why Ender Turing.