Applied AI Engineer

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Nasstar

Site WebLinkedInTous les Emplois

1001 - 5000 employés

💼 Conseil

📦 Logistique

Consulting • Logistics • Cloud Computing

Nasstar est un fournisseur de services technologiques et de solutions gérées basé au Royaume-Uni, qui aide les organisations à concevoir, mettre en œuvre et exploiter une infrastructure informatique de nouvelle génération. L'entreprise est spécialisée dans le Cloud Microsoft, le poste de travail moderne (M365, Teams, Copilot), les données et l'IA, les réseaux sécurisés, la cybersécurité et l'ingénierie numérique, offrant des services gérés et un support 24/7 pour les clients du secteur public et privé. Nasstar collabore avec des fournisseurs majeurs (Microsoft, Cisco, Fortinet, AWS, Databricks) et dessert des secteurs tels que la santé, les collectivités locales, le juridique, le commerce de détail et les services publics, avec un accent sur la transformation IT des entreprises B2B.

Description

• Support the design, build and deployment of applied AI systems under the guidance of senior engineers. • Contribute to backend services, APIs and application components that integrate AI capabilities into production systems. • Assist in experimentation, prototyping and testing of ML and Generative AI solutions. • Write clean, maintainable, well-tested code following established engineering standards. • Participate in code reviews and technical discussions to continuously improve engineering quality. • Help implement monitoring, evaluation and performance tracking for AI-enabled systems. • Collaborate with data scientists, product managers and client stakeholders to understand requirements and translate them into working solutions. • Contribute to internal knowledge sharing and capability development as you grow.

🎯 Exigences

• 2 years experience in a software engineering, machine learning or AI-related role. • Solid foundation in software engineering principles and problem-solving. • Experience programming in at least one language (Python preferred). • Strong understanding of ML concepts and familiarity with AI/ML tooling or frameworks. • Exposure to cloud platforms (AWS, Azure or GCP) or containerisation concepts is advantageous. • Strong willingness to learn and take feedback constructively. • Clear communication skills and ability to work effectively in a team environment. • ****Desirable** • Exposure to Generative AI, LLM APIs, or retrieval-based systems through projects or coursework. • Experience with Git, CI/CD pipelines or modern development workflows. • Personal, academic or open-source projects demonstrating applied AI or software engineering capability.

🏖️ Avantages

• Remote-first working with flexibility around client needs. • Opportunity to work on meaningful AI projects across multiple industries. • Structured mentoring and professional development from senior AI engineers. • A collaborative culture focused on learning, excellence and continuous improvement. • Competitive salary with clear progression pathways into senior engineering roles.