Amazon Web Services (AWS)We are a stealth-mode startup building next-generation infrastructure for LLMs and AI voice technologies. Our mission is to unlock natural, multilingual, voice-first experiences powered by real-time speech and language understanding. If you're excited about shaping the future of AI voice systems from the ground up, this is the place for you.
About the Role
We’re looking for a versatile Full Stack Engineer with a strong backend focus to help build and scale the infrastructure behind our AI-powered voice assistant platform. You'll collaborate closely with a small, fast-moving team to design robust systems, fine-tune AI models, and help bring our vision to life.
Key Responsibilities
- Design and implement backend infrastructure to support real-time voice-based AI interactions.
- Build event-driven workflows using AWS Lambda and message queue-based architectures.
- Help customize and train LLMs and integrate them into production systems.
- Work with ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) technologies.
- Contribute to simple frontend layers for internal tools and demos.
- Collaborate on performance tuning, audio pipeline reliability, and system monitoring.
Must-Have Skills
- Strong development experience with Python and Java
- Proficiency in AWS Lambda, serverless compute, and cloud-native design
- Familiarity with message queues (e.g., SQS, Kafka)
- Experience with DynamoDB or other NoSQL solutions
- Understanding of LLMs, ASR, and TTS systems
- Willingness to work across the stack and assist with basic frontend development
Why Join Us
- Be part of a core founding team shaping AI voice products from zero to one
- Work on cutting-edge language and speech tech in a hands-on, experimental environment
- Opportunity to grow quickly, own major technical components, and influence product direction
Shubham Vishwakarma
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon