Senior/Lead Software Engineer (Canada) at HeyMilo AI

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

25 Mar, 26

Salary

0.0

Posted On

25 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, ReactJS, NextJS, AWS, GCP, Docker, Kubernetes, SQS, Temporal, MongoDB, ClickHouse, InfluxDB, VectorDBs, LiveKit, MCP

Industry

Software Development

Description

HeyMilo is building agentic AI that deploys multimodal AI agents to help companies interview and evaluate candidates at scale. This role is for an exceptional full stack engineer who wants to work on bleeding-edge systems at the frontier of AI, real-time communication, low-latency pipelines, orchestration, and production infrastructure that supports interviews happening across the world. If you want a predictable roadmap and narrow responsibilities, this role is not for you. If you want to build real-time AI systems that feel human, keep reading. What you'll work on Building real-time AI interview systems (voice + video, low latency) Designing and scaling infrastructure for thousands of concurrent interview sessions Developing backend APIs and workflow orchestration (FastAPI, Temporal) Shipping full stack product features used by employers and candidates every day Building queue-driven systems for job execution, retries, and automation (SQS) Working on retrieval systems and prompt-driven agent workflows (VectorDBs, MCP) Improving reliability, performance, and observability across production systems Supporting enterprise integrations, data pipelines, and security patterns What were looking for Use Cursor/Devin to write at least 50% of your code 3–5+ years of professional software engineering experience Full stack engineer who can ship end-to-end and operate systems in production Strong systems thinking and engineering fundamentals Comfortable building low-latency, real-time systems Basic understanding of prompt writing + ML fundamentals High ownership, high accountability, low ego Deep belief in what were building Tech you should be comfortable with Backend: Python, FastAPI, async systems Frontend: ReactJS, NextJS, ShadCN Infra & deployment: AWS, GCP, Docker, Docker Compose, Kubernetes Queues & orchestration: SQS, Temporal Databases & analytics: MongoDB, ClickHouse, InfluxDB Retrieval: VectorDBs, RAG-style systems Real-time: LiveKit, Pipecat, low-latency audio/video pipelines AI agent tooling: MCP servers, prompt-driven workflows This role is not for you if: You want a strict 9–5 job You prefer narrow scopes and fixed task lists You avoid production responsibility You want safety over upside

Responsibilities

You will be building real-time AI interview systems and designing infrastructure for thousands of concurrent interview sessions. Additionally, you will develop backend APIs and workflow orchestration while improving reliability and performance across production systems.