Founding AI Engineer — Equity & Real Impact

Experis (Austria)

Reading

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Meaningful equity

Job summary

Experis in Reading seeks a Founding Engineer to develop AI-powered products. You'll build and deploy applications using modern LLM APIs and scalable backend systems. The ideal candidate has strong software engineering fundamentals, hands-on experience with LLMs, and a background in backend systems and cloud infrastructure. Join a dynamic team working directly with founders to create impactful solutions for real-world problems.

Qualifications

  • Strong software engineering fundamentals across backend systems, APIs, and cloud infrastructure.
  • Hands-on experience working with LLMs, embeddings, prompt engineering, or AI product development.
  • Bonus if you've worked in start-ups, developer platforms, data infrastructure, or applied ML environments.

Responsibilities

  • Build and deploy AI-powered applications using modern LLM APIs and open-source models.
  • Develop scalable backend systems using Python, FastAPI, TypeScript, Node.js, PostgreSQL, and cloud-native tooling.
  • Work with AI orchestration frameworks such as LangChain, LlamaIndex, or similar tooling.
  • Deploy and manage AI infrastructure using Docker, Kubernetes, Terraform, AWS/GCP, and CI/CD pipelines.
  • Integrate AI systems into customer workflows, internal tooling, and external APIs.

Skills

Python
FastAPI
TypeScript
Node.js
PostgreSQL
Docker
Kubernetes
Terraform
AWS
GCP
CI/CD

Tools

LangChain
LlamaIndex
Semantic Kernel

Job description

Experis in Reading seeks a Founding Engineer to develop AI-powered products. You'll build and deploy applications using modern LLM APIs and scalable backend systems. The ideal candidate has strong software engineering fundamentals, hands-on experience with LLMs, and a background in backend systems and cloud infrastructure. Join a dynamic team working directly with founders to create impactful solutions for real-world problems.
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