Engineering Tech Lead
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
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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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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.
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Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread.
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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.
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Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands.
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Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them.
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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'll own:
Who you are:
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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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Mid-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.