Senior AI Engineer

C-MORE

. Design, build, test, and maintain AI and data services for the C-MORE platform .

Posted 9/23/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining AI and data services, with strong capabilities in Python development, data pipeline implementation, and cloud infrastructure management. Proficient in integrating AI functionalities and ensuring data reliability and accessibility within production systems.

Highest-signal resume keywords

Python DevelopmentAI and LLM-Based ApplicationsData Pipeline ImplementationCloud Infrastructure ManagementAPIs and Backend Services

ATS Keywords

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Hard Skills

Software EngineeringData ProcessingRelational DatabasesData ModellingData WarehousingTesting and DebuggingMonitoring Production SoftwareTechnical Design DocumentationSystem ArchitectureProduction Deployment

Soft Skills

Problem-SolvingTechnical CommunicationOwnership of ResultsIndependent WorkCollaboration with Engineers

Industry Keywords

AI ServicesData ServicesC-MORE PlatformDynamic DashboardProduction Systems

Tech Stack

Tools & technologies

CloudPHPPython

About the role

Key responsibilities & impact

Design, build, test, and maintain AI and data services for the C-MORE platform
Contribute code to the AI agent, data warehouse, and supporting services
Implement systems that make data reliable, consistent, and accessible
Build and maintain data pipelines, APIs, integrations, and supporting infrastructure
Implement analytics and data-processing functionality
Contribute to system architecture and technical design for the AI and data platform
Investigate technical problems, identify practical solutions, and carry them through to production
Write technical design documents and implementation proposals
Review code and technical designs and maintain high engineering standards
Integrate AI and data capabilities into the broader C-MORE platform with the main application team
Join client or product discussions when technical input is required
Complete or continue technical work to put the data warehouse and dynamic dashboard into production
Contribute to version 2.0, implementing AI and data platform components
Implement AI capabilities from technical design through development, integration, testing, and production deployment

Requirements

What you’ll need

Strong software engineering experience building production systems involving AI and data
Python experience strongly preferred
PHP experience is a strong advantage
Production Python development
Experience with APIs and backend services
Experience with AI and LLM-based applications
Experience with data pipelines and data processing
Experience with relational databases and data modelling
Experience with data warehouses and analytical systems
Experience with cloud infrastructure and production deployments
Experience with testing, debugging, monitoring, and maintaining production software
Ability to work with existing systems and build new systems
Ability to break technical problems into manageable parts and implement reliable solutions
Ability to communicate technical decisions clearly and work effectively with other engineers
Ability to make implementation decisions with incomplete information and take ownership of results
Ability to work independently and take responsibility for technical outcomes
English mandatory, full professional proficiency

Benefits

Comp & perks

Fully remote, worldwide work arrangement
Asynchronous work by default with regular synchronous moments for alignment