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Junior Applied AI Engineer
JOB SUMMARY
Job details
We’re looking for a Junior Applied AI Engineer to support the design and delivery of AI-powered systems for our clients.
You’ll work alongside experienced engineers, data scientists and delivery teams to help build, test and deploy intelligent applications, while developing your technical depth in modern AI engineering practices.
This role is ideal for someone early in their career who is technically curious, eager to learn, and motivated to build real-world AI systems that create impact. Key ResponsibilitiesSupport 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. Skills, Knowledge and ExpertiseEarly career experience (industry, internship or academic) in software engineering, machine learning or AI-related development. 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. DesirableExposure 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.
You’ll work alongside experienced engineers, data scientists and delivery teams to help build, test and deploy intelligent applications, while developing your technical depth in modern AI engineering practices.
This role is ideal for someone early in their career who is technically curious, eager to learn, and motivated to build real-world AI systems that create impact. Key ResponsibilitiesSupport 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. Skills, Knowledge and ExpertiseEarly career experience (industry, internship or academic) in software engineering, machine learning or AI-related development. 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. DesirableExposure 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.
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Colibri Digital United Kingdom
