We’re an innovation group inside TTEC (NASDAQ: TTEC), building the next generation of AI CX tools — automated QA, conversational analytics, knowledge assist, and agentic automation — for the world’s biggest brands and the millions of customers they serve. We move like an early-stage startup, backed by the scale, distribution, and enterprise client base of a company that’s been obsessed with customer experience since 1982.
This is the rare seat where getting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprise deployments and you don’t just move a metric — you move the trajectory of the company and the value of the stock. The leverage is real, and the work compounds.
Want to learn, love new technology. This platform is built on the latest technology, and that technology changes and advances monthly. You adapt to change quickly — new tools, new models, new priorities — without drama.
AI-native. You work with AI on all levels — you understand the technology around you (LLMs, SLMs, RAG, knowledge graphs, agents, training, eval) and you use AI tools daily to exponentially increase your velocity.
No one will have everything in this description. We're looking for well-rounded, smart people who move fast.
What You Will Do:
The role:
- Build Desktop Intercept — the native Windows driver and app that acts as a virtual mic/speaker, replaces audio in real time, and (Phase 1 Phase C) reads the DOM and drives Computer Use.
- This is the hardest engineering on the platform and the deepest moat. Everything you build feeds a high-efficiency, event-driven, low-latency distributed platform — voice, desktop, intelligence, and AI combined — so you think in latency budgets, throughput, and efficiency, not just features.
- Startup environment: 1-week sprints, Friday demos, fail fast and move forward.
What you'll own:
- Windows native driver (WASAPI, virtual audio devices, kernel-adjacent hooks) · real-time bidirectional audio routing
- The user-space app (audio router, DOM scraper, MCP server) ·
- The desktop-to-cloud path onto the event bus (NATS-class, WebSocket) under a sub-300ms budget
- AV co-existence and mass-deployment
- Your committed timelines.
Who you are:
- Self-starter, hacker, grit.
- You consider yourself exceptional at the systems level and can show it.
- You love new technology, adapt fast when it changes, demonstrate ideas with working code, and use AI tools daily to multiply your velocity.
- Team player who makes and hits committed timelines.
- Loves solving the problems nobody else can — and winning.
What You Will Bring:
Comfortable building and interacting with drivers — virtual audio devices, virtual microphones/speakers, WASAPI / Core Audio, kernel-adjacent hooks.
Real-time audio pipelines under a sub-300ms budget — buffering, resampling, drift, glitch-free capture/playback.
Understands high-efficiency systems end-to-end — event-driven architecture, pub/sub, WebSocket streaming, and what state, race conditions, and locking mean at the native layer (lock-free audio buffers, real-time threads, priority inversion).
A master debugger at the systems level — kernel logs, crash dumps, audio glitches, AV interference; you see it.
