AI Software Engineer

Zone & Co

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

Posted 11/4/2026full-timeRemote • ColombiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 optimizing model performance.

Highest-signal resume keywords

AI/ML Pipeline DevelopmentPython ProgrammingExperience with LLMs and LangGraphAWS or Azure FamiliarityData Analysis and Decision Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI System DesignMachine Learning ImplementationPython ProgrammingJavaScript FamiliaritySQL Database UnderstandingNon-Relational Database UnderstandingModel OptimizationAI Framework EvaluationData Quality MaintenanceEthical AI Practices

Soft Skills

Problem-SolvingAnalytical ThinkingCritical ThinkingWritten CommunicationVerbal Communication

Tools & Technologies

AWSAzureLangGraphAutoGenDSPy

Industry Keywords

AI ApplicationsMachine LearningData ScienceSoftware EngineeringCloud Services

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 product features
Collaborate with product managers, data scientists, and engineers
Write clean, maintainable, and documented code using Python, JavaScript, or statically typed languages
Integrate AI/ML models into backend and frontend applications
Analyze large datasets and support data-driven decisions
Evaluate AI frameworks, tools, and technologies
Monitor and optimize deployed models for performance, scalability, and reliability
Lead experimentation and prototyping efforts
Participate in code reviews and mentor junior engineers
Communicate technical details to technical and non-technical audiences
Maintain data quality, privacy, and ethical AI practices
Stay current with 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
Hands-on experience with LLMs, agents, and LangGraph, AutoGen, or DSPy
Proficiency in Python and familiarity with JavaScript or similar languages
Understanding of relational (SQL) and non-relational databases
Experience deploying AI systems in production environments
Familiarity with AWS or Azure
Strong problem-solving, analytical, and critical-thinking abilities
Strong written and verbal communication skills in English
Commitment to ethical AI development and continuous professional growth

Benefits

Comp & perks

Fully remote, global team
High-trust flexibility and autonomy
Professional growth and career evolution support
Benefits supporting life beyond the screen