AI Engineer

Reposted 19 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
In-Office
Mid level
Financial Services
The Role
As an AI Engineer, you will build and deploy voice-based AI applications, manage scalable infrastructure, and work on real-time conversation systems.
Summary Generated by Built In

Role description: This role is with one of our prominent portfolio companies.

About Us

A San Francisco based startup building next-generation Voice AI products that redefine how humans interact with machines  from smart voice assistants to automated customer conversations, voice-driven tools, and more.

We are at the intersection of speech technology, large language models, and real-time systems, backed by leading investors and supported by domain experts. We’re now building our founding engineering team in India to shape the core product experience.

What You'll Do

  • Build and deploy real-time voice-based AI applications using ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and LLMs.
  • Work on latency-sensitive systems to enable near real-time conversations.
  • Design and implement prompt-chaining, memory, and tool integration for LLM-powered voice agents.
  • Set up and manage scalable infra for voice/audio processing and AI model serving.
  • Work closely with the founding team on product shaping, roadmap planning, and technical strategy.
  • Continuously experiment with and evaluate new models, APIs, and speech/LLM techniques.

Who You Are

  • 3-8 years of experience in AI/ML, deep learning, or backend-heavy engineering roles.
  • Solid hands-on experience with speech technologies (ASR, TTS, diarization, etc.).
  • Comfortable working with Python, PyTorch, Hugging Face, OpenAI, or similar frameworks.
  • Experience deploying real-time systems (Docker, Kubernetes, AWS/GCP).
  • Strong problem-solving skills with a product-first mindset.
  • Self-starter who thrives in high-ownership, fast-paced environments.
  • Excellent written and verbal communication

Top Skills

AWS
Docker
GCP
Hugging Face
Kubernetes
Openai
Python
PyTorch
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The Company
HQ: Vancouver, BC
16 Employees

What We Do

At Elevation Capital, we evaluate and understand the exponential nature of technology, how it evolves, how it affects us, and we invest in ideas. Ideas that will become the future.

Our investment choices relate to the individuals we represent in our portfolio. We look for individuals that have a solid vision of the future they want to create and a deep understanding of the technology of their endeavour. The future impact of AI is perhaps the most important issue the human race has ever faced. Instead of passively drifting, we need to steer a course. We at Elevation Capital chart the submerged rocks of the future.

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