HeyMilo AI
HeyMilo is a platform that helps recruiters deploy multimodal AI agents to interview and evaluate candidates at scale.
This role is for an exceptional full stack engineer who wants to work on frontier AI technology including real-time communication, low-latency pipelines, orchestration, and production infrastructure that supports interviews happening across the world.
If you want a very 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 we're looking for
Use Cursor/Devin to write a good chunk 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
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
Frontend: ReactJS, NextJS, ShadCN
Databases & analytics: MongoDB, ClickHouse, InfluxDB
Retrieval: VectorDBs, RAG-style systems
Real-time: LiveKit, Pipecat, low-latency audio/video pipelines
This role is not for you if
You want a strict 9–5 job
You prefer narrow scopes and fixed task lists
You want safety over upside
#J-18808-Ljbffr
This role is for an exceptional full stack engineer who wants to work on frontier AI technology including real-time communication, low-latency pipelines, orchestration, and production infrastructure that supports interviews happening across the world.
If you want a very 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 we're looking for
Use Cursor/Devin to write a good chunk 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
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
Frontend: ReactJS, NextJS, ShadCN
Databases & analytics: MongoDB, ClickHouse, InfluxDB
Retrieval: VectorDBs, RAG-style systems
Real-time: LiveKit, Pipecat, low-latency audio/video pipelines
This role is not for you if
You want a strict 9–5 job
You prefer narrow scopes and fixed task lists
You want safety over upside
#J-18808-Ljbffr