[Hiring] Senior AI Engineer @C-MORE SUSTAINABILITY, LDA

Role Description

The Senior AI Engineer role combines artificial intelligence (AI), data engineering, and software engineering. You are responsible for the technical implementation of C-MORE’s AI and data systems, working across the AI agent, data warehouse, analytics, and related services.

You work closely with senior engineering leadership and the wider engineering team to turn product and technical requirements into reliable production systems.

Responsibilities

• Design, build, test, and maintain AI and data services used across the C-MORE platform.
• Be a primary code contributor to the AI agent, data warehouse, and supporting services.
• Implement systems that make data reliable, consistent, and accessible to people, analytics, and AI systems.
• Build and maintain data pipelines, APIs, integrations, and supporting infrastructure.
• Implement analytics and data-processing functionality in coordination with the teams that consume it.
• Contribute to system architecture and technical design, particularly within the AI and data platform.
• Investigate technical problems, identify practical solutions, and carry them through to production.
• Write technical design documents and implementation proposals that explain how systems should work and document important engineering decisions.
• Review code and technical designs and help maintain a high engineering standard across the systems you work on.
• Work with the main application team to integrate AI and data capabilities into the broader C-MORE platform.
• Occasionally join client or product discussions when technical input is required.

How the role works

This role suits someone who takes initiative and follows through. You are expected to work independently on complex technical problems, make sensible implementation decisions, and take ownership of the systems you build.

The role is strongly hands-on. Most of your time goes to code development, system design, debugging, testing, and technical implementation.

You work within the technical direction and priorities established by the Head of AI and engineering leadership. Within that context, you have significant freedom to decide how individual systems and technical problems should be implemented.

This is an individual-contributor role. It does not include people management, hiring responsibility, or ownership of company-level AI or product strategy.

Qualifications

• Strong software engineer with practical experience building production systems involving AI and data.
• Python experience is strongly preferred; PHP experience is a strong advantage.
• Comfortable with areas such as:
  • Production Python development.
  • APIs and backend services.
  • AI and LLM-based applications.
  • Data pipelines and data processing.
  • Relational databases and data modelling.
  • Data warehouses and analytical systems.
  • Cloud infrastructure and production deployments.
  • Testing, debugging, monitoring, and maintaining production software.
• Comfortable working with existing systems as well as building new ones.
• Ability to understand a technical problem, break it into manageable parts, and implement a reliable solution.
• Communicate technical decisions clearly, work effectively with other engineers, and adapt as requirements change.
• Make implementation decisions with incomplete information, take ownership of the result, and learn the business domain as you go.

Your first three months

• Help complete any remaining technical work required to put the data warehouse and dynamic dashboard into production.
• If these systems are already in production, contribute to their continued development, reliability, and improvement.
• Become a core technical contributor to version 2.0 alongside the main application team, with particular responsibility for implementing the AI and data components of the platform.
• Begin implementing the AI capabilities planned for version 2.0, taking features from technical design through development, integration, testing, and production deployment.

How We Work

We are a small, senior team. You must be able to work independently and take responsibility for technical outcomes. You will not receive complete specifications and then execute against them. You will help investigate the problem, propose a solution, and carry it through to production.

You must be able to explain your reasoning, accept criticism, and revise your decisions when the evidence changes.

We work fully remote and asynchronously by default, with regular synchronous moments for alignment. We expect people to own their outcomes without daily supervision.

Logistics

• Location: Fully remote, worldwide
• Reports to: Head of Engineering
• Team: Engineering
• Employment type: To be confirmed
• Seniority: Senior individual contributor
• Language: English (mandatory, full professional proficiency)