Match Made Tech
Staff Software Engineer (Hybrid)
Location: Austin, TX (Hybrid) • Employment Type: Full-Time • Compensation: up to 250K base
Sponsorship: Not available
About the Role We’re seeking a senior or staff founding engineer to take end-to-end ownership of the technical roadmap and help shape both the product and engineering culture from the ground up. You’ll work directly with leadership to design, build, and scale the platform behind a next-generation AI product redefining automation and user experience in a complex, high-impact domain.
This is an opportunity to join at the earliest stage, influence key architectural decisions, and build production systems that combine LLMs, voice, and automation in a real-world environment.
Key Responsibilities
Own the
technical roadmap , driving architecture, design, and execution across the full stack.
Architect and build
scalable AI products , including data pipelines, model training, fine-tuning, and deployment.
Design and develop
backend services, APIs, and frontend interfaces .
Rapidly prototype and iterate on
AI features and automations
to improve performance and user experience.
Collaborate closely with product and business teams to translate user needs into technical solutions.
Establish
engineering best practices , CI/CD pipelines, testing standards, and infrastructure reliability.
Requirements
5+ years of experience building
production‑grade software
(startup or fast-growth environment preferred).
Strong skills in
Python
and
TypeScript , with clean, testable coding practices.
Experience designing and implementing
AI/ML pipelines
(training, validation, inference).
Proficiency with
PostgreSQL
(schema design, performance tuning, migrations; multi‑tenant a plus).
Familiarity with
DevOps & Infrastructure as Code
tools such as
GitHub Actions, Docker, Terraform, and Kubernetes .
Hands‑on experience with or strong curiosity for
LLM orchestration ,
prompt engineering , and
model integration in production .
Strong systems-level thinking and a bias for shipping, learning, and iterating quickly.
Nice to Have
Experience with
voice AI, speech‑to‑text , or
conversational AI .
Background in
healthcare systems , compliance (HIPAA), or
workflow automation .
Familiarity with
Azure
or other cloud providers.
Experience in
high-growth SaaS
or
early-stage startup
environments.
What You’ll Gain
Founding-level equity
and ownership in what you help create.
The chance to define a company’s
technical DNA
and
engineering culture
from day one.
Exposure to cutting-edge
AI and automation technologies
deployed in real-world settings.
A close-knit, fast-moving team that values creativity, technical depth, and impact over process.
#J-18808-Ljbffr
Sponsorship: Not available
About the Role We’re seeking a senior or staff founding engineer to take end-to-end ownership of the technical roadmap and help shape both the product and engineering culture from the ground up. You’ll work directly with leadership to design, build, and scale the platform behind a next-generation AI product redefining automation and user experience in a complex, high-impact domain.
This is an opportunity to join at the earliest stage, influence key architectural decisions, and build production systems that combine LLMs, voice, and automation in a real-world environment.
Key Responsibilities
Own the
technical roadmap , driving architecture, design, and execution across the full stack.
Architect and build
scalable AI products , including data pipelines, model training, fine-tuning, and deployment.
Design and develop
backend services, APIs, and frontend interfaces .
Rapidly prototype and iterate on
AI features and automations
to improve performance and user experience.
Collaborate closely with product and business teams to translate user needs into technical solutions.
Establish
engineering best practices , CI/CD pipelines, testing standards, and infrastructure reliability.
Requirements
5+ years of experience building
production‑grade software
(startup or fast-growth environment preferred).
Strong skills in
Python
and
TypeScript , with clean, testable coding practices.
Experience designing and implementing
AI/ML pipelines
(training, validation, inference).
Proficiency with
PostgreSQL
(schema design, performance tuning, migrations; multi‑tenant a plus).
Familiarity with
DevOps & Infrastructure as Code
tools such as
GitHub Actions, Docker, Terraform, and Kubernetes .
Hands‑on experience with or strong curiosity for
LLM orchestration ,
prompt engineering , and
model integration in production .
Strong systems-level thinking and a bias for shipping, learning, and iterating quickly.
Nice to Have
Experience with
voice AI, speech‑to‑text , or
conversational AI .
Background in
healthcare systems , compliance (HIPAA), or
workflow automation .
Familiarity with
Azure
or other cloud providers.
Experience in
high-growth SaaS
or
early-stage startup
environments.
What You’ll Gain
Founding-level equity
and ownership in what you help create.
The chance to define a company’s
technical DNA
and
engineering culture
from day one.
Exposure to cutting-edge
AI and automation technologies
deployed in real-world settings.
A close-knit, fast-moving team that values creativity, technical depth, and impact over process.
#J-18808-Ljbffr