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!
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.
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.
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.
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.
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.
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:
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
