Senior Full-Stack Developer (AI Speech Analytics)

Ender Turing; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first

Job summary

Ender Turing is seeking a senior full-stack developer to own conversation intelligence systems, blending Python backends with Vue 3 frontends. You will work on transcription, sentiment analysis, and summarization at scale, with end-to-end ownership across design to production.

You will ship frequently, validate AI outputs, and collaborate across architecture and product direction in a remote-first, modern stack environment.

Qualifications

• 5+ years of experience shipping production code.
• Full-stack capability across Python services and Vue components.
• Daily use of AI coding tools with critical validation of outputs.
• Self-directed, end-to-end problem solving without hand-holding.
• Proven track record of frequent shipping and production feedback loops.

Responsibilities

• Build and maintain FastAPI and Python backend services handling high-volume conversation processing.
• Develop Vue 3 and TypeScript dashboards with real-time WebSocket streaming and visualizations.
• Integrate LLM APIs and audio/speech processing pipelines for transcription, sentiment, and summary features.
• Design and operate scalable infrastructure using Docker, Kubernetes, Celery, Redis, and OpenSearch clusters.
• Build and support CRM and contact center integrations such as Zendesk, Genesys, and Vicidial.
• Shape architecture decisions, influence product direction, and own systems from design through production.

Skills

Python

FastAPI

Vue 3

TypeScript

WebSockets

SQLAlchemy

PostgreSQL

Docker

Kubernetes

Celery

Redis

OpenSearch

CI/CD tooling

Speech processing

Tools

GitHub Actions

pre-commit

Job description

Role overview

A senior full-stack developer role focused on building conversation intelligence systems that process large volumes of interactions in production at scale. The position blends Python backend services with Vue 3 frontends, integrating LLM-powered capabilities for transcription, sentiment analysis, and summarization. It is a hands-on engineering role with end-to-end ownership of systems rather than ticket implementation.

Responsibilities

• Build and maintain FastAPI and Python backend services handling high-volume conversation processing
• Develop Vue 3 and TypeScript dashboards featuring real-time WebSocket streaming and data visualizations
• Integrate LLM APIs and audio or speech processing pipelines for transcription, sentiment, and summary features
• Design and operate scalable infrastructure using Docker, Kubernetes, Celery, Redis, and OpenSearch clusters
• Build and support CRM and contact center integrations such as Zendesk, Genesys, and Vicidial
• Shape architecture decisions, influence product direction, and own systems from design through production

Requirements

• 5+ years of experience shipping production code
• Full-stack capability, comfortable switching between Python services and Vue components
• Daily use of AI coding tools with critical validation of their outputs
• Self-directed approach to solving problems end-to-end without hand-holding
• Track record of frequent shipping and managing production feedback loops
• Proficiency with Python 3.11+, FastAPI, SQLAlchemy, PostgreSQL, Vue 3, TypeScript, and WebSockets

Nice to have

• Experience operating Kubernetes workloads in production environments
• Background in audio or speech processing pipelines
• Familiarity with CI/CD tooling such as GitHub Actions and pre-commit hooks

Benefits and work setup

Remote-first position allowing work from anywhere with reliable internet. The environment emphasizes direct production impact, high learning velocity alongside engineers building at real scale, and a modern pragmatic stack. Interview process includes an HR conversation, founder chat, technical screen, technical deep-dive with live coding, and a short take-home feature task.