TL;DR

Principal Software Engineer (AI): Defining the technical future of information lifecycle at %hirify_global% by engineering tools that turn raw information into high-velocity decision-making with an accent on advanced hybrid search, RAG pipelines, and complex, agentic reasoning. Focus on establishing architectural patterns, leading performance optimization for AI models and APIs, and pioneering innovation in emerging AI technologies.

Location: Our office is located in Saint Mandé, France. According to %hirify_global%'s hybrid work model, our flexible work policy includes a minimum of 3 days a week in our Saint-Mandé office and the remaining 2 days working from home.

Company

%hirify_global% is a global leader in gaming with teams across the world creating original and memorable gaming experiences.

What you will do

Define software architecture standards and engineering best practices for scalable, high-performance backend services.
Lead initiatives for low-latency, high-throughput serving of AI models, agents, and APIs.
Drive cross-organizational collaboration with data scientists and ML engineers to define integration patterns for AI models.
Define software patterns and integration strategies for cloud-native AI applications, focusing on scalability.
Provide technical leadership and mentorship to senior engineers, shaping technical strategy and engineering culture.
Pioneer innovation by evaluating emerging AI technologies and leading proof-of-concept initiatives.

Requirements

Professional software engineering experience, with experience as a principal or staff engineer.
Proven track record architecting production AI/ML applications in compute or data-intensive environments.
Expert-level proficiency in Python, Java, Rust, or C++, with a deep understanding of software design patterns.
Extensive experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
Deep expertise in system architecture, microservices patterns, API design, and distributed systems.
Proven ability to influence, mentor senior engineers, drive technical consensus, and shape engineering culture.

Nice to have

Deep expertise in Large Language Models, RAG systems at scale, and emerging AI paradigms.
Extensive experience designing agentic AI systems and multi-agent orchestration using frameworks like LangGraph, Strands Agents, or CrewAI.
Significant contributions to open-source AI/ML projects, publications, or technical conference speaking engagements.
Experience with serverless architectures, event-driven systems, and real-time ML inference optimization.

Culture & Benefits

Profit Sharing and yearly company saving plan.
25 paid time off + 12 additional paid days off.
50% of your transportation pass is paid by the company, along with lunch vouchers (€9/day).
Healthcare for you and your family, and additional %hirify_global% perks.
Maternity leaves of 20 weeks, paternity/co-parental leaves of 7 weeks.
Hybrid work model to balance team connection and work-life.

Hiring process

30-minute phone or visio call with a Recruiter.
60-minute interview with the manager of the role and a Recruiter.
60-minute interview with members of the AI team.
60-minute technical assessments with technical experts from %hirify_global%.