Number of Applicants
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About Sharesource:
We are a BCorp company whose purpose is to democratise opportunities for individuals from developing countries. With our brand and culture empowering our partners to attract and keep the most qualified members, we share the knowledge to unleash potential and grow scaling teams for Australian and Canadian businesses.
https://www.sharesource.com.au/
What are we looking for?
The AI Engineer will be responsible for building and deploying AI-powered features within the organization platform that enhance customers' construction management workflows. This role focuses on developing production-ready machine learning and LLM-based solutions, including prompt engineering, model deployment, and scalable ML pipelines.
You will manage the full lifecycle of ML models, from experimentation and deployment to monitoring and optimization. Working closely with data engineers, you will design scalable feature engineering workflows and integrate ML systems within the Databricks environment.
The ideal candidate has a strong software engineering background, experience deploying ML models in production, and hands-on expertise with Python, ML frameworks, LLM technologies, and cloud platforms such as AWS.
What are you expected to do?
Design and implement prompt engineering strategies and LLM workflows for production use
Build robust ML pipelines that integrate with our Databricks environment
Manage model lifecycle, versioning, and monitoring to ensure reliability in production
Collaborate with data engineers to design scalable feature engineering workflows
Implement observability and monitoring solutions for ML models in production
Work across the ML spectrum from vision models to natural language processing
Contribute to our MLOps practices and tooling improvements
You'll be a great fit if:
You have experience with LLMs (prompt engineering, fine-tuning, or RAG architectures).
You have strong proficiency with MLflow for experiment tracking, model registry, and deployment.
You have strong SQL skills for feature engineering and data manipulation.
You have experience with cloud platforms (AWS preferred) and containerization.
You have an understanding of ML model evaluation, validation, and monitoring best practices.
You have the ability to translate business problems into ML solutions.
It would be a bonus if:
You have experience with Databricks platform (Unity Catalog, Model Serving, Feature Store)
You have a data engineering background—comfortable building ETL pipelines and working with large-scale data
You have experience with multimodal AI applications (vision + language)
You are familiar with dbt or similar data transformation tools
You have an understanding of multi-tenant architecture and row-level security considerations
You have experience with CI/CD for ML (MLOps)
What you gain beyond the role:
Please note: This role is remote; however, we require candidates to be based locally in the Philippines. This is to support occasional onsite activities such as team events, client meetings, or equipment handover. Additionally, local residency is necessary for compliance with Philippines labor laws and employment regulations.
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Why work for Sharesource?
Our clients come from all walks of life and so do we. We hire hundreds of skillful individuals from a wide variety of backgrounds, genders, and personalities to live out our diverse culture and make a positive impact on the world!
Our 5 Values:
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What to Expect in the Process?
We would be grateful if you have these already:
At Sharesource, we believe in the value of diversity and inclusion. We are committed to creating a diverse, respectful, and inclusive workplace, and we do not discriminate based on factors such as race, gender, religion, sexual orientation, or disability.
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