Staff Engineer IA at Skello

Paris, Île-de-France, France

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, HR TechnologyIndustries

Requirements

7 to 8 years of experience (or more) as an engineer
Passionate about designing robust systems and scalability
Proven expertise in AI, particularly with Large Language Models (LLM)

Responsibilities

Develop cutting-edge AI features on the most critical technical roadmap projects, with a predominance on AI initiatives
Lead the end-to-end conception, implementation, and deployment in production of new ultra-scalable and high-performance services and solutions integrating AI capabilities
Resolve complex technical challenges related to the integration, optimization, and large-scale deployment of AI models
Participate actively in the Architecture & AI squad, with key responsibility for integrating and orchestrating AI systems within the platform
Contribute to co-constructing the architecture and development roadmap, providing expertise on AI opportunities, model scalability, and performance
Conduct proof of concepts (POC) to validate technical and functional hypotheses related to AI and LLM implementation
Design and orchestrate deployment plans for technical solutions, ensuring smooth and secure transitions, especially for AI models in production
Drive structural changes in development practices to enhance performance, reliability, scalability, accessibility, and security

Skills

Key technologies and capabilities for this role

LLMAIMicroservicesSystem ArchitectureScalabilitySaaSMonolith Migration

Questions & Answers

Common questions about this position

What is the salary for the Staff Engineer IA position?

This information is not specified in the job description.

Is this a remote position or what is the location requirement?

This information is not specified in the job description.

What experience and skills are required for this role?

The role requires 7 to 8 years (or more) of experience as a Staff Engineer IA, expertise in designing robust and scalable systems, and proven expertise in AI, particularly with Large Language Models (LLM). Candidates should be passionate architects focused on IA systems.

What will the team structure and work environment be like at Skello?

You will join a technical team tackling stimulating challenges like transitioning from a monolith to microservices architecture and integrating AI into products, with over 70% of time spent coding while also acting as a technical leader and mentor.

What makes a strong candidate for this Staff Engineer IA role?

A strong candidate is a passionate architect with 7-8+ years of experience in robust system design, scalability, and proven AI expertise especially in LLMs, ready to lead end-to-end development of scalable AI-integrated services and mentor teams.

Skello

Workforce management software for businesses

About Skello

Skello provides a software platform for workforce management that helps businesses manage employee scheduling, time tracking, payroll calculations, and human resources tasks. The platform is particularly useful for industries with complex scheduling needs, such as restaurants, retail, and healthcare. It allows managers and employees to easily communicate and coordinate schedules, which is especially beneficial for shift-based work and part-time staff. Skello operates on a subscription model, ensuring a consistent revenue stream while allowing for ongoing improvements to the service. With a high customer satisfaction rating of 4.5 out of 5 from over 2,000 reviews, Skello stands out for its user-friendly and collaborative approach to workforce management.

Paris, FranceHeadquarters

2016Year Founded

$49.6MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Risks

Emerging platforms with similar features at lower costs increase competition.

Rapid technological advancements require continuous platform updates, straining resources.

Stricter data privacy regulations necessitate increased investment in compliance measures.

Differentiation

Skello offers real-time management indicators like payroll and productivity.

The platform is user-friendly, facilitating seamless communication and coordination.

Skello's high customer satisfaction is reflected in its 4.5/5 rating from 2,000 reviews.

Upsides

Integration with AI-driven analytics enhances scheduling accuracy and efficiency.

Demand for flexible scheduling solutions is rising with remote and hybrid work models.

Mobile-first applications in workforce management increase user engagement and accessibility.

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