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Lead Software Engineer

HeyMilo AI

Toronto

On-site

CAD 130,000 - 150,000

Full time

3 days ago
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Job summary

Join HeyMilo AI as a Senior/Lead Software Engineer, working on innovative AI-powered hiring technologies in a fast-paced environment. You'll build scalable APIs and manage critical backend infrastructure while influencing enterprise-level technology. Ideal for adaptable engineers ready to take ownership of their work in a dynamic startup culture.

Benefits

Competitive salary
Performance-based benefits
High ownership culture

Qualifications

  • 3-5 years of experience in Software Engineering.
  • Prior experience with startups, shipping 0->1 products.
  • Familiar with AI services and observability.

Responsibilities

  • Build scalable APIs and manage data infrastructure.
  • Implement monitoring tools and handle large data volumes.
  • Optimize database queries for real-time use.

Skills

Python
FastAPI
AWS
Docker
microservices
Redis
data processing

Education

Bachelor’s degree in Computer Science or equivalent

Tools

MongoDB
ClickHouse
Docker/Kubernetes
InfluxDB
PostHog

Job description

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HeyMilo scales intelligent hiring through AI agents handling interviews and evaluations reliably and quickly.

2025 has been a year of unprecedented demand for our platform and we're growing fast! We're looking for a Senior/Lead Software Engineer to work on our core platform services which powers real-time decisions, audio/video infrastructure, AI logic, and robust observability.

Who You Are

  • Backend Specialist: Build scalable endpoints and services in Python and FastAPI.
  • Infra Savvy: Experienced with AWS, Docker, Lambdas, and microservices.
  • AI Curious: Familiarity with LLMs, prompt engineering, AI workflows.
  • Data Processing Pro: Proficient with Redis, queues, and asynchronous jobs that process large volumes of data.
  • Observability-Minded: Prioritize metrics, logging, and alerts.
  • Startup Ready: Hands-on, adaptable, thrives in rapid-growth environments.

What You'll Do

  • Develop scalable APIs using FastAPI, integrating AI services.
  • Optimizing performance of MongoDB and ClickHouse queries for real-time usage.
  • Build LLM evaluation pipelines and inference engines.
  • Manage data infrastructure with ClickHouse, Redis, MongoDB.
  • Implement monitoring and observability tools (InfluxDB, PostHog).
  • Automate deployment and infrastructure with Docker/Kubernetes.
  • Enhance job queue architecture with Airflow and async workers.

Some work that was shipped by our talented engineers recently:

  • Detecting if a candidate is lying or cheating during interviews.
  • Reducing analysis time from 5 minutes to 20 seconds post-interview.
  • Leverage message queues to scale Agentic AI platform to support 1000+ concurrent interviews.
  • AI/LLM: OpenAI, Anthropic, Gemini, Pinecone, DeepSeek, LLaMa Cloud

Why You Should Join Us:

  • Own and scale critical backend infrastructure.
  • Influence Agentic AI technology at enterprise scale.
  • Work alongside top talent from Instagram, Microsoft, Uber, Meta.
  • Competitive salary, strong performance-based benefits.
  • Work hard, play hard culture with high ownership.
  • Most importantly, be at the forefront of cutting agentic AI technology and take your career to new heights.

This Role is NOT for You If:

  • You don’t have experience with FastAPI, Python, or MongoDB.
  • If you're looking for a "chill" place to work. We ideate on Monday and ship by Friday. It's a fun, fast-paced environment where you will learn a lot, quickly.
  • If you can’t work autonomously or take full accountability/ownership of your output. This role expects you to deliver quality work end to end, from writing the code to monitoring it in production.

Standard Requirements:

  • 3-5 years of experience in Software Engineering
  • Experience working at an early stage startup and shipping 0->1 products
  • Bachelor’s degree or strong CS/engineering fundamentals from a reputable university in North America.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Software Development

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