This role is with one of our prominent portfolio companies.
The company is a San Francisco-based startup building next-generation Voice AI products that redefine how humans interact with machines, including smart voice assistants, automated customer conversations, and voice-driven tools.
The team is at the intersection of speech technology, large language models, and real-time systems, backed by leading investors and supported by domain experts.
The company is building its founding engineering team in India to shape the core product experience.
Responsibilities include building and deploying real-time voice-based AI applications using ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and LLMs.
The role involves working on latency-sensitive systems to enable near real-time conversations.
The engineer will design and implement prompt-chaining, memory, and tool integration for LLM-powered voice agents.
Setting up and managing scalable infrastructure for voice/audio processing and AI model serving is also part of the job.
The engineer will work closely with the founding team on product shaping, roadmap planning, and technical strategy.
Continuous experimentation with and evaluation of new models, APIs, and speech/LLM techniques is expected.
Requirements:
Candidates should have 3-8 years of experience in AI/ML, deep learning, or backend-heavy engineering roles.
A solid hands-on experience with speech technologies such as ASR, TTS, and diarization is required.
Candidates must be comfortable working with Python, PyTorch, Hugging Face, OpenAI, or similar frameworks.
Experience in deploying real-time systems using Docker, Kubernetes, and AWS/GCP is necessary.
Strong problem-solving skills with a product-first mindset are essential.
The ideal candidate is a self-starter who thrives in high-ownership, fast-paced environments.
Excellent written and verbal communication skills are required.
Benefits:
The position offers the opportunity to work on cutting-edge Voice AI technology.
Employees will be part of a founding engineering team, contributing to the core product experience.
The role provides a chance to work closely with domain experts and leading investors.
There is potential for professional growth in a fast-paced startup environment.
The company promotes a culture of experimentation and innovation in AI technologies.