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Engineering Tech Lead

1 month ago
Canada
Full-time
Lead
Machine Learning Engineer
Software Development
Agile CRM GCP Generative AI Go Kafka LLM Machine Learning NATS Prototyping Python WebSockets
Apply Now
TTEC Digital

TTEC Digital

TTEC Digital is a global leader in customer service solutions, offering contact center software, customer service technology, and tailored solutions for businesses. With a focus on combining humanity and technology, TTEC Digital pioneers exceptional cu...

Professional Services
1K-5K
Founded 1982
View All Jobs 33

Description

  • Lead a squad as a player-coach, writing and reviewing the hardest code while guiding delivery.
  • Build and own Go services on the event bus, AI/ML services and pipelines, or connector frameworks across multiple tracks.
  • Develop services for high-throughput transactional data models and WebSocket backends.
  • Own your track’s slice of the platform, including AI/ML pipelines, connectors, or core platform services.
  • Drive delivery on 1-week sprints and present working software in Friday demos.
  • Maintain committed timelines and help unblock work to keep execution moving.
  • Set engineering patterns through shipping, code review, and technical leadership.
  • Collaborate across voice, desktop, intelligence, and AI components in a single real-time platform.

Requirements

  • 9+ years of hands-on engineering experience.
  • Strong Go experience at a senior level, with 3+ programming languages overall.
  • Proven experience leading a squad and shipping a real-time or platform product end-to-end on committed timelines.
  • Ability to out-code the team you lead and maintain technical credibility with senior engineers.
  • Experience with event-driven production systems such as NATS, Kafka, or Redpanda.
  • Hands-on experience with low-latency, real-time, high-throughput systems and WebSockets.
  • Mid-tier or better hands-on AI experience, including LLM APIs, embeddings, RAG, or model serving.
  • Daily use of AI-assisted development tools to increase velocity.
  • Strong debugging and problem-solving ability across unfamiliar code, stack traces, and partner APIs.
  • Nice to have: data graph or knowledge graph background, AI/ML model training/serving/evaluation experience, and GCP familiarity.
  • Nice to have: voice, SIP/RTP/SIPREC, CCaaS/CTI, desktop-adjacent, or CRM integration experience.
  • Track-specific experience preferred in backend/platform data models and plugin runtimes, deeper Python and production GenAI/NLU, or integrations with Genesys, Amazon Connect, NICE, or Five9.

Benefits

  • Full-time, fully remote work arrangement.
  • Opportunity to work on next-generation AI CX tools for major enterprise brands.
  • Early-stage startup pace with the scale and reach of a public company.
  • High leverage work with products deployed across thousands of live enterprise environments.
  • The chance to influence the trajectory of the company and its stock value by shipping the right products.
  • Fast-moving team environment with 1-week sprints and weekly demos.

Interested in this position?

Apply directly on the company website

Apply Now

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