Applied AI Engineer

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🕒 April 2

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Nasstar

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

📡 Telecommunications

Cloud Computing • Enterprise • Telecommunications

Nasstar is a cloud service specialist that designs, implements, and manages multi-cloud solutions, innovative communication tools, and high-performance networking. With a strong global presence, Nasstar supports customers across various industries by offering a comprehensive suite of cloud services. The company has undergone several strategic acquisitions and rebranding efforts to enhance its capabilities, such as the acquisitions of Modality, Outsourcery, and others. Nasstar is committed to evolving with the rapidly changing tech industry and values enthusiastic individuals who are driven and passionate about making a difference.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.