Senior Software Engineer (Platform — Backend / AI/ML / Integrations)

TTEC Digital seeks a Senior Software Engineer (Platform — Backend / AI/ML / Integrations) 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:

• One senior 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.
• 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.

• 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

• 7+ years backend; 3+ languages across your career. HIGH++ proficiency in GoLang — mandatory and tested; production Go at scale, not dabbled. Medium-strength Python or another scriptable language.
• 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.