Role overview

Qualifications

Deep cloud infrastructure experience at the staff level
Comfortable across most of the tech stack and strong in at least one layer
Experience shipping production systems for 4+ years
Experience in voice AI, speech, or telephony (preferred)

Responsibilities

Own features end to end across frontend, backend, and infrastructure
Build and scale AI employees platform including application and services
Run the cloud and telephony backbone on GCP and Kubernetes
Lead real-time voice challenges and set technical direction with founders

Key facts

Remote from: Mexico
Full time
Senior (5-10 years)
Software Engineer
English

Hard skills

Python (Programming Language) FastAPI gRPC Kubernetes Artificial Intelligence TypeScript Real Time Data Voice Interaction Telephony Low Latency Technical Leadership

Other skills

Public Speaking

About the company

NIR-YU

Staffing & Recruiting

Nir-Yu specializes in helping Small and Medium Enterprises unlock the potential of their business. Our typical customer is worried about not being able to make enough progress on their product(s) or project(s) with their current team; they need additional team-members to deliver work on-time and with the required quality. Tight budgets also make it necessary to lower average wage costs, making it necessary to consider hiring internationally to lower costs. We help these companies by providing a bespoke service that finds and hires remote workers from Mexico, Colombia, Argentina, Chile, Brazil and other countries in LatAm based on the company’s specific job descriptions to work as an extension of their team and perform the required functions. Unlike many other companies, we don’t have a bench of contractors to be hired out, instead each team is hired specifically to meet specific requirements and to work exclusively as a remote employee.

Company details

Company typeScaleup

IndustryStaffing & Recruiting

Company size201 - 500

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

The Role:

You own the stack and set technical direction alongside the founders. You have a real say in the big architectural decisions, and what you ship reaches real users quickly. Perform well and you're on track to Lead Engineer.

Responsibilities:

Own features end to end across frontend, backend, and the infrastructure they run on.
Build and scale our AI employees platform: the application, the FastAPI services, and the data flows that connect them.
Run our cloud and telephony backbone on GCP and Kubernetes, keeping production reliable and low-latency as we grow.
Lead our real-time voice work and own its hardest challenges: pushing the voice to be the most realistic, driving down latency, and expanding what our AI employee platform can do.
Set technical direction with the founders and raise the engineering bar as the team grows.

Requirements:

You own systems end to end, you have deep cloud infrastructure experience at the staff level, and you use AI in your own work every day. You don't need deep voice, telecom, and applied AI all on day one.
Our stack is Python and FastAPI on the backend, GCP and Kubernetes for infrastructure, a modern TypeScript frontend, and real-time media on top. You should be comfortable across most of it and strong in at least one layer.
Great to Have: Experience at a voice AI, speech, or telephony company (TTS, STT, SIP, VoIP, latency optimization), or running Kubernetes in production at an early-stage company.

Ideal Profiles:

Staff or senior full-stack engineer with 4+ years shipping production systems, who has owned cloud infrastructure at scale, ideally with voice, SMS, or real-time media experience.
Engineer building with applied AI beyond prompt engineering (speech models, ML pipelines, real-time inference) who wants to do it full time.
Engineer from a voice, telephony, or legal-tech company who already knows the real-time stack and the integration landscape.