Engineering Tech Lead

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.

• 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:

• 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.

What You Will Bring:

• 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.

• Has led a squad and shipped a hard real-time or platform product end-to-end, on committed timelines.

• Sets patterns by shipping them; owns the code-review bar and raises the engineers around you.

• Owns delivery — moves blocked work, doesn't just report it. Show-me mentality: your squad demos working software every Friday.

• Keeps the respect of senior engineers through technical credibility, and manages change without drama — priorities and tech will shift under you.

• Event-driven systems in production (NATS / Kafka / Redpanda-class) — you think in pub/sub. Heavy WebSocket, real-time, low-latency.

• 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.

• Strong ++ for data graph/knowledge graph background, or hands-on AI/ML model experience (training, serving, eval).

• Efficiency in development — we deal in speed. You ship clean code fast, unblock yourself, and your estimates hold.

• A master debugger — you read unfamiliar code, a stack trace, or a flaky partner API and see it; you know where the breakpoint goes.

• GCP preferred. Voice (SIP/RTP/SIPREC), CCaaS/CTI, or desktop-adjacent experience a strong plus depending on track.

• Track emphasis:

  1. Backend/Platform: data models, event bus, plugin runtime.
  2. AI/ML: deeper Python, production GenAI/NLU, streaming inference, eval frameworks, RAG.
  3. Integrations: CCaaS/CTI platforms (Genesys, Amazon Connect, NICE, Five9), CRM connectors, SIP/RTP, fault-tolerant connector design.