Senior Software Engineer
Milya AI
Location:
Montreal, QC (100% On-Site)Employment Type:
Full-TimeAbout the RoleWe are looking for an exceptionally
ambitious, high-velocity Senior AI Engineer
who thrives in
fast-paced, high-ownership startup environments. You will work
100% on-site
alongside our core team in Montreal to build, scale, and refine our next-generation AI agent ecosystem—focusing directly on ambient AI scribes and autonomous AI receptionists.This is not a corporate, incremental role. You will have full ownership across the stack: orchestrating cutting-edge AI voice models, building ultra-low latency backend systems, and shipping intuitive frontend interfaces. If you love zero-to-one engineering, solving hard technical problems in real time, and moving fast without sacrificing architectural quality, this role is built for you.Key Responsibilities
Ship End-to-End AI Systems: Move rapidly from concept to production on real-time Speech-to-Text (STT), Text-to-Speech (TTS), LLM orchestration, and autonomous receptionist/scribe wKey Responsibilities
Ship End-to-End AI Systems: Move rapidly from concept to production on real-time Speech-to-Text (STT), Text-to-Speech (TTS), LLM orchestration, and autonomous receptionist/scribe wworkflows.Full-Stack Ownership:
Architect high-performance backend microservices, resilient APIs, and responsive frontend UI applications.Voice & Ambient Pipelines:
Build low-latency streaming audio infrastructure (WebSockets, WebRTC) with robust RAG, tool calling, and multi-agent routing.Integrations & Data Infrastructure:
Build secure data pipelines and connect to core third-party APIs (calendars, EHR/EMR, CRM, communication platforms).Speed, Security & Reliability:
Maintain rapid product iteration speed while guaranteeing high availability and strict data compliance (e.G., Law 25, HIPAA).What We Are Looking For
Startup Mindset & High Ambition: Obsessed with impact, execution speed, and high-ownership environments. You take raw ideas and deliver polished production codequickly.5+ Years in AI/ML & Engineering:
Proven track record of building, shipping, and maintaining real-world AI applications, agent frameworks, or real-time voice architectures.Full-Stack Mastery:
Modern stack fluency across backend and frontend (Python, FastAPI, Node.Js, TypeScript, React, Next.Js).Voice & Conversational AI Tech:
Hands-on experience with LLM APIs, fine-tuning, prompt engineering, vector databases, and real-time audio streams.Solid Infrastructure:
Deep understanding of relational/non-relational databases (PostgreSQL, Redis) and cloud deployment (AWS, GCP, or Azure).100% On-Site in Montreal:
Excited to collaborate in person with the team every day.Nice to HavePrior early-stage startup experience (founding team, early engineering hire, or venture-backed startup).Experience in regulated industries (healthcare tech, legal tech) or edge-deployed AI models.Professional fluency in French and English.
#J-18808-Ljbffr
Montreal, QC (100% On-Site)Employment Type:
Full-TimeAbout the RoleWe are looking for an exceptionally
ambitious, high-velocity Senior AI Engineer
who thrives in
fast-paced, high-ownership startup environments. You will work
100% on-site
alongside our core team in Montreal to build, scale, and refine our next-generation AI agent ecosystem—focusing directly on ambient AI scribes and autonomous AI receptionists.This is not a corporate, incremental role. You will have full ownership across the stack: orchestrating cutting-edge AI voice models, building ultra-low latency backend systems, and shipping intuitive frontend interfaces. If you love zero-to-one engineering, solving hard technical problems in real time, and moving fast without sacrificing architectural quality, this role is built for you.Key Responsibilities
Ship End-to-End AI Systems: Move rapidly from concept to production on real-time Speech-to-Text (STT), Text-to-Speech (TTS), LLM orchestration, and autonomous receptionist/scribe wKey Responsibilities
Ship End-to-End AI Systems: Move rapidly from concept to production on real-time Speech-to-Text (STT), Text-to-Speech (TTS), LLM orchestration, and autonomous receptionist/scribe wworkflows.Full-Stack Ownership:
Architect high-performance backend microservices, resilient APIs, and responsive frontend UI applications.Voice & Ambient Pipelines:
Build low-latency streaming audio infrastructure (WebSockets, WebRTC) with robust RAG, tool calling, and multi-agent routing.Integrations & Data Infrastructure:
Build secure data pipelines and connect to core third-party APIs (calendars, EHR/EMR, CRM, communication platforms).Speed, Security & Reliability:
Maintain rapid product iteration speed while guaranteeing high availability and strict data compliance (e.G., Law 25, HIPAA).What We Are Looking For
Startup Mindset & High Ambition: Obsessed with impact, execution speed, and high-ownership environments. You take raw ideas and deliver polished production codequickly.5+ Years in AI/ML & Engineering:
Proven track record of building, shipping, and maintaining real-world AI applications, agent frameworks, or real-time voice architectures.Full-Stack Mastery:
Modern stack fluency across backend and frontend (Python, FastAPI, Node.Js, TypeScript, React, Next.Js).Voice & Conversational AI Tech:
Hands-on experience with LLM APIs, fine-tuning, prompt engineering, vector databases, and real-time audio streams.Solid Infrastructure:
Deep understanding of relational/non-relational databases (PostgreSQL, Redis) and cloud deployment (AWS, GCP, or Azure).100% On-Site in Montreal:
Excited to collaborate in person with the team every day.Nice to HavePrior early-stage startup experience (founding team, early engineering hire, or venture-backed startup).Experience in regulated industries (healthcare tech, legal tech) or edge-deployed AI models.Professional fluency in French and English.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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