UMATR
Founding Backend Engineer
(Unfortunately we are not able to provide VISA sponsorship for this position)
UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company’s context, goals, and culture giving teams unprecedented visibility into what’s happening across the business.
They’re backed by top-tier global investors and experienced operators from some of the world’s leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software.
What You’ll Do
Architect and build scalable backend and platform systems from the ground up
Develop and deploy AI/LLM-powered features using large, complex datasets
Design robust APIs and integrations to connect data and workflows across systems
Take end-to-end ownership of projects in a fast-paced, evolving environment
Collaborate closely with founders and cross-functional teams to influence technical strategy
What We’re Looking For
3–7 years of backend or platform engineering experience
Deep experience with
Python ,
FastAPI ,
AWS , and
SQL/Postgres
Proven ability to design and scale reliable, production‑grade systems
Strong understanding of data models, infrastructure, and performance optimisation
Bonus: experience with
LLMs ,
RAG , or
agentic frameworks
Bias toward ownership, rapid learning, and shipping high-quality systems
Ideal Background
Built and scaled production systems at fast-moving startups or top-tier tech companies
Computer Science or equivalent technical background from a strong academic program
Excited by early-stage challenges, ambiguity, and end-to-end ownership
Obsessed with detail, craftsmanship, and problem-solving
Willing to put in focused effort to build something enduring
#J-18808-Ljbffr
(Unfortunately we are not able to provide VISA sponsorship for this position)
UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company’s context, goals, and culture giving teams unprecedented visibility into what’s happening across the business.
They’re backed by top-tier global investors and experienced operators from some of the world’s leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software.
What You’ll Do
Architect and build scalable backend and platform systems from the ground up
Develop and deploy AI/LLM-powered features using large, complex datasets
Design robust APIs and integrations to connect data and workflows across systems
Take end-to-end ownership of projects in a fast-paced, evolving environment
Collaborate closely with founders and cross-functional teams to influence technical strategy
What We’re Looking For
3–7 years of backend or platform engineering experience
Deep experience with
Python ,
FastAPI ,
AWS , and
SQL/Postgres
Proven ability to design and scale reliable, production‑grade systems
Strong understanding of data models, infrastructure, and performance optimisation
Bonus: experience with
LLMs ,
RAG , or
agentic frameworks
Bias toward ownership, rapid learning, and shipping high-quality systems
Ideal Background
Built and scaled production systems at fast-moving startups or top-tier tech companies
Computer Science or equivalent technical background from a strong academic program
Excited by early-stage challenges, ambiguity, and end-to-end ownership
Obsessed with detail, craftsmanship, and problem-solving
Willing to put in focused effort to build something enduring
#J-18808-Ljbffr