AI Software Engineer

Zone & Co

. Design, prototype, and implement AI systems for real-world business applications .

Posted 11/4/2026full-timeRemote • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI systems, with proficiency in Python and experience in deploying AI/ML applications. Strong analytical skills and commitment to ethical AI practices are essential for driving innovation and delivering business value.

Highest-signal resume keywords

AI/ML Pipeline DevelopmentPython ProgrammingExperience with LLMs and FrameworksCloud Platform Familiarity (AWS or Azure)Data Analysis and Insights Extraction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI System DesignMachine Learning ImplementationPython ProgrammingJavaScript ProficiencySQL Database KnowledgeNon-Relational Database KnowledgeAI Framework EvaluationModel OptimizationContainerization ExperienceData-Driven Decision Making

Soft Skills

Problem-SolvingAnalytical ThinkingCritical ThinkingWritten CommunicationVerbal Communication

Tools & Technologies

LangGraphAutoGenDSPyCloud ServicesAI Frameworks

Industry Keywords

Ethical AI PracticesData QualityAI ResearchBusiness ApplicationsProduction Environments

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptPythonSQL

About the role

Key responsibilities & impact

Design, prototype, and implement AI systems for real-world business applications
Build and deploy end-to-end AI/ML pipelines for key product features
Collaborate with product managers, data scientists, and engineers to deliver integrated AI solutions
Write clean, maintainable, and well-documented code using Python, JavaScript, or statically typed languages
Integrate AI/ML models into backend and frontend applications
Analyze large datasets to extract insights and support data-driven decisions
Evaluate and select AI frameworks, tools, and technologies based on project needs
Monitor and optimize deployed models for performance, scalability, and reliability
Lead experimentation and prototyping efforts to test new ideas and algorithms
Participate in code reviews and mentor junior engineers
Communicate technical details and outcomes to technical and non-technical audiences
Maintain commitment to data quality, privacy, and ethical AI practices
Stay current with emerging AI research, frameworks, and methodologies
Contribute to infrastructure and cloud service decisions for AI workflows

Requirements

What you’ll need

2+ years of software engineering experience with a focus on AI/ML applications
Bachelor’s degree in Computer Science, AI, Data Science, or related field
Hands-on experience with LLMs, agents, and frameworks such as LangGraph, AutoGen, or DSPy
Proficient in Python with familiarity in JavaScript or similar languages
Knowledge of statically typed languages is a plus
Strong understanding of relational (SQL) and non-relational databases
Experience deploying AI systems in production environments
Familiarity with cloud platforms (AWS or Azure)
Containerization experience is a bonus
Excellent problem-solving, analytical, and critical-thinking abilities
Strong written and verbal communication skills in English
Passion for innovation and using technology to create business value
Commitment to ethical AI development and continuous professional growth

Benefits

Comp & perks

Fully remote, global team
High-trust flexibility and autonomy
Professional evolution and continuous growth support
Diverse, equitable, and inclusive workplace
Equal opportunity employment