This position is no longer available
Backend Engineer – LLM & Voice AI
remote•$32k - $48k+ 1.00%
Summary
Salary
$32k - $48k
Equity
1.00%
Workplace
Remote
Experience
3+ years
Visa
US citizenship/visa not required
Company links
This position is no longer available
This job listing has been removed by the employer and is no longer accepting applications.
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About Feather
Feather is a fast-moving startup dedicated to developing AI agents for the mortgage industry. Our mission is to revolutionize mortgage operations by automating tasks, enhancing efficiency, and delivering superior customer experiences.
About the role
Skills: TypeScript, PostgreSQL, Python 📍 Remote (India) | 🕐 Full-Time | 💼 3+ Years Experience 🕸️ Website: www.featherhq.com
🧠 About Feather
Feather is reimagining how businesses use voice. We’re building a conversational AI platform powered by LLMs, focused on replacing outdated IVR and call center systems with natural, human-like voice agents. Backed by top-tier VCs, we’re in beta with our first customers and scaling fast. We’re looking for a Backend Engineer who thrives across systems — from scalable APIs to inference pipelines — and wants to work on cutting-edge voice AI. You’ll help architect the backend infrastructure that powers real-time voice conversations, integrating LLMs and audio streaming tools like LiveKit.
🔧 What You’ll Do
Build and scale core backend services for real-time voice AI
Design APIs and event-driven systems to manage calls, sessions, and LLM interactions
Work with OpenAI , LiveKit , and AWS to power voice agents at scale
Develop job queues, data pipelines, and inference orchestration
Optimize for low-latency, high-availability systems
Contribute to system design, testing, and deployment automation
✅ What We’re Looking For
3+ years of backend experience (preferably in TypeScript or Python )
Strong understanding of system design, async architectures, and cloud infrastructure ( AWS )
Hands-on experience with LLM APIs (OpenAI, Langgraph, etc.)
Comfort working across distributed systems, queues, and service boundaries
Proactive, product-aware, and ready to take ownership
🌟 Bonus Points
Experience with LiveKit , Twilio , or voice streaming APIs
Familiarity with speech-to-text (STT), text-to-speech (TTS), or WebRTC
Knowledge of Temporal, LangGraph, or other workflow orchestration tools
Experience building real-time apps or customer-facing tools
💼 What We Offer
💰 Competitive Salary + meaningful Equity
🌴 Paid vacation , plus national holidays
🤒 Flexible sick leave — no doctor’s notes required
🏡 Remote-first culture with flexible hours
🚀 Work directly with technical founders and help shape our roadmap
📈 Early-stage impact and growth path toward Tech Lead / Founding Engineer
Technology
Typescript Postgres MongoDb Langchain
What you'll do
- Build and scale core backend services for real-time voice AI
- Design APIs and event-driven systems to manage calls, sessions, and LLM interactions
- Work with OpenAI , LiveKit , and AWS to power voice agents at scale
- Develop job queues, data pipelines, and inference orchestration
- Optimize for low-latency, high-availability systems
- Contribute to system design, testing, and deployment automation
About Feather
About FeatherFeather is a fast-moving startup dedicated to developing AI agents for the mortgage industry. Our mission is to revolutionize mortgage operations by automating tasks, enhancing efficiency, and delivering superior customer experiences.🧠 About FeatherFeather is reimagining how businesses use voice. We’re building a conversational AI platform powered by LLMs, focused on replacing outdated IVR and call center systems with natural, human-like voice agents. Backed by top-tier VCs, we’re in beta with our first customers and scaling fast. We’re looking for a Backend Engineer who thrives across systems — from scalable APIs to inference pipelines — and wants to work on cutting-edge voice AI. You’ll help architect the backend infrastructure that powers real-time voice conversations, integrating LLMs and audio streaming tools like LiveKit.
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Frequently Asked Questions
What does Feather pay for a Backend Engineer – LLM & Voice AI?
Feather offers a competitive compensation package for the Backend Engineer – LLM & Voice AI role. The salary range is USD 32k - 48k per year, plus 1.00% equity. Apply through Clera to learn more about the full compensation details.
What does a Backend Engineer – LLM & Voice AI do at Feather?
As a Backend Engineer – LLM & Voice AI at Feather, you will: build and scale core backend services for real-time voice AI; design APIs and event-driven systems to manage calls, sessions, and LLM interactions; work with OpenAI , LiveKit , and AWS to power voice agents at scale; and more.
Is the Backend Engineer – LLM & Voice AI position at Feather remote?
Yes! The Backend Engineer – LLM & Voice AI position at Feather is a remote role. Apply through Clera to learn more about their remote work policies.
How do I apply for the Backend Engineer – LLM & Voice AI position at Feather?
You can apply for the Backend Engineer – LLM & Voice AI position at Featherdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.