TL;DR

Software Engineer, New Grad (AI): Building and improving core systems powering AI products and operations with an accent on backend and frontend development, and system architecture. Focus on designing scalable architectures, solving real-world engineering problems, and integrating new AI capabilities at scale.

Location: Hybrid, based in Paris, France. Office attendance is encouraged at least 3 days per week.

Company

%hirify_global% is a pioneering AI company developing high-performance, optimized, open-source models and solutions to democratize AI and integrate it into daily working life.

What you will do

Contribute to the design and implementation of backend features and APIs, ensuring performance, reliability, and scalability.
Design, develop, and maintain scalable user-facing features using modern frontend technologies like TypeScript, React, and Next.js.
Learn to design efficient, secure, and scalable architectures under the guidance of senior engineers.
Write clean, readable, and well-tested code, participating in code reviews to improve team standards.
Collaborate cross-functionally with product managers, designers, and AI/data engineers to deliver end-to-end features.
Tackle real-world engineering problems, from performance bottlenecks to integrating new AI capabilities.

Requirements

Recently graduated with a degree in Computer Science, Software Engineering, or a related field, or equivalent hands-on experience.
Proficient with at least one programming language such as Python, JavaScript/TypeScript, C++, or Golang.
Solid understanding of core computer science and system architecture fundamentals.
Experience building software projects through internships, personal projects, or university work.
Enjoy solving problems, pay attention to detail, and care about building reliable systems.
Communicate clearly, ask good questions, and enjoy working in a collaborative environment.

Nice to have

Exposure or interest in infrastructure topics (Docker, CI/CD, Kubernetes, Helm, Terraform).
Exposure or interest in AI/ML engineering or working with LLMs and related tooling.
Exposure or interest in observability and monitoring tools (Prometheus, Grafana, Datadog).
UX and product-centric thinking.

Culture & Benefits

Dynamic, collaborative, low-ego, and team-spirited work environment passionate about AI.
Competitive salary and equity package.
Health insurance and private pension plan.
Transportation allowance, sport allowance, and meal vouchers.
Generous parental leave policy.
Flexible remote policy with core working hours expectation, based in Paris HQ.

Hiring process

Online coding assessment (60 min).
Introduction call (30 min).
Live Coding Interview (30 min).
Hiring Manager Interview (30 min).
Technical Deep Dive (30 min).
Culture-fit discussion (30 min).