AI Software Engineer

Zone & Co

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

Posted 11/4/2026full-timeRemote • SpainJuniorMid-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 data-driven decisions and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

AI/ML Pipeline DevelopmentPython ProgrammingCloud Platforms (AWS or Azure)Data Analysis and Insights ExtractionEthical AI Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI System DesignMachine Learning FrameworksData ScienceRelational Databases (SQL)Non-Relational DatabasesLLMs and AgentsJavaScript ProgrammingCode ReviewModel OptimizationPrototyping

Soft Skills

Problem-SolvingAnalytical ThinkingCommunication Skills

Tools & Technologies

LangGraphAutoGenDSPyCloud ServicesAI Frameworks

Industry Keywords

Data QualityPrivacyEthical AI PracticesEmerging AI Research

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
Strong understanding of relational (SQL) and non-relational databases
Experience deploying AI systems in production environments
Familiarity with cloud platforms (AWS or Azure)
Strong problem-solving, analytical, and critical-thinking abilities
Strong communication skills in English, written and verbal
Commitment to ethical AI development and continuous professional growth

Benefits

Comp & perks

Fully remote, global team
High-trust flexibility and autonomy
Benefits supporting life beyond the screen; specific offerings linked on the careers page