AI Software Engineer

Zone & Co

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

Posted 11/4/2026full-timeRemote • CzechiaJuniorMid-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 a 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 Services (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 ImplementationPythonJavaScriptSQLNon-Relational DatabasesAI Frameworks (LangGraph, AutoGen, DSPy)ContainerizationData Quality MaintenancePerformance Optimization

Soft Skills

Problem-SolvingAnalytical ThinkingCommunication SkillsMentoringCollaboration

Tools & Technologies

AWSAzureAI FrameworksData PipelinesCloud Services

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in AI or Data Science (Preferred)

Industry Keywords

Ethical AI PracticesData-Driven DecisionsAI ResearchPrototypingIntegrated AI Solutions

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 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 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 focused on AI/ML applications
Bachelor’s degree in Computer Science, AI, Data Science, or related field (Master’s preferred)
Hands-on experience with LLMs, agents, and frameworks such as LangGraph, AutoGen, or DSPy
Proficiency in Python and familiarity with 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 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 creating business value with technology
Commitment to ethical AI development and continuous professional growth

Benefits

Comp & perks

Fully remote work
High-trust flexibility and autonomy
Professional growth and career development support
Diverse, equitable, and inclusive workplace