Principal Applied AI Engineer

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November 20

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Nasstar

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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.

1001 - 5000 employees

🏢 Enterprise

📡 Telecommunications

📋 Description

• - Lead technical discovery and delivery for AI engineering engagements, taking clients from concept to production. • - Design, build and deploy applied AI systems that integrate seamlessly with existing software and data platforms. • - Develop and maintain backend systems, APIs, and frontends in alignment with software engineering best practices. • - Mentor and develop engineers (both within Colibri and client teams), building capability and confidence. • - Define and uphold best practices in AI engineering, including robust architecture, testing, and deployment. • - Partner with data scientists, product managers, and delivery leads to ensure AI solutions are practical, ethical, and aligned with business outcomes. • - Contribute to Colibri’s internal capability development; shaping frameworks, patterns, building reusable code repositories or other assets and thought leadership in applied AI. • - Represent Colibri as a trusted technical advisor, communicating complex AI concepts clearly to non-technical audiences.

🎯 Requirements

• - Proven experience in a senior or principal engineering role within an AI technology consultancy or AI-driven product organisation, delivering AI models, systems and products to production. • - Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. • - Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). • - Proficiency in at least one major programming language (Python preferred) and modern software delivery practices (CI/CD, containers, orchestration). • - Experience mentoring engineers and guiding clients through AI adoption and delivery. • - Excellent communication and stakeholder management skills, able to lead with empathy and clarity in complex client environments • **Desirable** • - Experience integrating Generative AI, retrieval-augmented generation (RAG), or similar architectures into production systems. • - Strong background in consultancy, digital transformation, or multi-industry project delivery. • - Contributions to open-source projects or AI engineering communities.

🏖️ Benefits

• - Remote-first working with flexibility around client needs. • - Private health insurance • - Projects with global brands & public sector leaders, working on real-world impact • - A collaborative culture of excellence and continuous improvement • - Competitive salary, bonus structure, and long-term growth opportunities • **