TTEC Digital seeks a Native / Desktop Engineer to join our team. This role is a full-time and fully remote opportunity! The work: 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. Who we hire — the DNA: • Self-starters and do-ers with grit — hackers in the best sense, with a startup mentality and a show-me bias: working software over slides, prototypes over proposals. • 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. • Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread. • 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. • Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands. • Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them. • You consider yourself exceptional — and you like winning. So do we. • 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: • 8+ years systems / native development; shipped a Windows desktop agent at real scale (>10k seats) with audio. • Strong C/C++ — mandatory. Strong Go for the service side — mandatory. • 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). • macOS / Linux native experience is a huge +++++ — cross-platform desktop is where this goes next. • Browser / DOM internals and process injection a strong plus (Phase C). • Enterprise mass-deployment craft — MSI/installer engineering, silent deploys, fleet upgrades across 10k+ locked-down seats. • Driver/code signing and AV/EDR co-existence — WHQL, EV certs, and staying invisible to CrowdStrike-class agents without tripping them. • Crash-dump and telemetry discipline — WinDbg/minidumps, symbolized crash reporting from the field; you debug machines you'll never touch. • Security posture — least-privilege service design; this app hears customer audio and reads screens, so it must be provably tight. • A master debugger at the systems level — kernel logs, crash dumps, audio glitches, AV interference; you see it. • SIP / RTP a strong plus. Mid-tier or better hands-on AI-in-product experience a plus (the desktop app hosts an MCP server and drives Computer Use).