Engineering Tech Lead
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Job Summary
The work:
Werean 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 worlds 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 companythatsbeen obsessed with customer experience since 1982.
This is the rare seatwheregetting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprisedeploymentsand youdontjust 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-erswith grit hackers in the best sense with a startup mentality and a show-me bias: working software over slides prototypes over proposals.
Wanttolearnlovenew 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 youthink 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-systemsliterate. High-efficiency event-driven low-latency systems are our world; you understand what that demands.
Innovators who ship. Youdemonstrateideas easily fail fast and move forward. You make committed timelines and hit them.
You consider yourself exceptional and you like winning. So dowe.
No one will have everything in this description. Were looking for well-rounded smart people who move fast.
What You Will Do:
- 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.
- Youll 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 youll own:
- Services on the event bus (NATS-class) high-throughput transactional data models and WebSocket backends
- Your tracks 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 dont 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 workdoesntjust report -mementality: your squad demos working software every Friday.
Keeps the respect of senior engineers through technicalcredibility andmanages 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 youvebuilt with LLM APIs embeddings RAG or model serving not justchattedwith 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.
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Required Experience:
Staff IC
About Company
We believe that humanity and technology should âco-exist, and that at the nexus of the âmost powerful experiences, humanity and technology collide. At TTEC Digital, we combine the expertise, innovation, partnerships, and passion of three industry-leading customer experience com ... View more
