At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
TTEC Digital seeks an Engineering Technical Lead 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.
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The role:
- Lead developer role, three specialization tracks . We build voice, desktop, intelligence, and AI combined into a single real-time platform — event-driven, high-throughput, low-latency.
- A tech lead here is a player-coach — you write the hardest code in the squad, and you lead it.
- You'll build Go services on the event bus, AI/ML services and pipelines, or connector frameworks to CCaaS/CRM/telephony — most engineers here end up touching more than one.
- This is a startup environment on a fast train: 1-week sprints, Friday demos, fail fast and move forward.
What you'll own:
- Services on the event bus (NATS-class) · high-throughput transactional data models and WebSocket backends
- Your track's slice — AI/ML pipelines (RAG, streaming inference, eval) or connectors (CCaaS/CTI, CRM, SIP/RTP) or core platform services
- Your latency budget · your committed timelines.
Who you are:
- You consider yourself exceptional — and can show it.
- Self-starter, hacker, grit, loves to learn, loves winning.
- You demonstrate ideas easily: a working prototype beats a slide deck every time.
- You understand requirements and stay locked on them — we work with all-new technology constantly, and you don't get wrapped around shiny objects
- You evaluate fast, adopt what earns it, and keep shipping. Fail fast, move forward. A team player who makes and hits committed timelines.
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9+ years hands-on; same language bar (HIGH++ Go, 3+ languages) and same AI, debugging, and velocity bar as the Senior Software Engineer role — you must out-code the squad you lead.
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Has led a squad and shipped a hard real-time or platform product end-to-end, on committed timelines.
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Sets patterns by shipping them; owns the code-review bar and raises the engineers around you.
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Owns delivery — moves blocked work, doesn't just report it. Show-me mentality: your squad demos working software every Friday.
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Keeps the respect of senior engineers through technical credibility, and manages change without drama — priorities and tech will shift under you.
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Event-driven systems in production (NATS / Kafka / Redpanda-class) — you think in pub/sub. Heavy WebSocket, real-time, low-latency.
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M id-tier or better hands-on AI experience in the code and product — you've built with LLM APIs, embeddings, RAG, or model serving, not just chatted with a bot. And you use AI-assisted development daily to multiply your velocity.
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Strong ++ for data graph/knowledge graph background, or hands-on AI/ML model experience (training, serving, eval).
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Efficiency in development — we deal in speed. You ship clean code fast, unblock yourself, and your estimates hold.
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A master debugger — you read unfamiliar code, a stack trace, or a flaky partner API and see it; you know where the breakpoint goes.
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GCP preferred. Voice (SIP/RTP/SIPREC), CCaaS/CTI, or desktop-adjacent experience a strong plus depending on track.
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Track emphasis:
- Backend/Platform: data models, event bus, plugin runtime.
- AI/ML: deeper Python, production GenAI/NLU, streaming inference, eval frameworks, RAG.
- Integrations: CCaaS/CTI platforms (Genesys, Amazon Connect, NICE, Five9), CRM connectors, SIP/RTP, fault-tolerant connector design.
TTEC Digital
Customer Experience · Public · Greenwood Village, USA