Engineering Tech Lead

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

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.