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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. Build AI-powered product features that customers interact with daily in the organization platform, directly shaping their construction management workflowsDesign and implement prompt engineering strategies and LLM workflows for production useBuild robust ML pipelines that integrate with our Databricks environmentManage model lifecycle, versioning, and monitoring to ensure reliability in productionCollaborate with data engineers to design scalable feature engineering workflowsImplement observability and monitoring solutions for ML models in productionWork across the ML spectrum from vision models to natural language processingContribute to our MLOps practices and tooling improvementsYou’ll be a great fit if:You have a software engineering background with at least 2–3 years of experience building and deploying ML models in production environments.
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 solid Python programming skills with experience in ML frameworks (scikit-learn, TensorFlow, PyTorch, or similar).
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 dataYou have experience with multimodal AI applications (vision + language)You are familiar with dbt or similar data transformation toolsYou have an understanding of multi-tenant architecture and row-level security considerationsYou have experience with CI/CD for ML (MLOps)What you gain beyond the role:Remote + Hybrid Flexibility: Enjoy the best of both worlds—collaborative office days when it counts, balanced with the freedom to work from home. Achieve Work-Life Balance and Flexibility: Work in an environment where you’re trusted and empowered to work independently, while still having the support you need to deliver your best. Here, flexibility isn’t just a perk—it’s how we help you perform at your best, without sacrificing life outside of work. Open Culture: Your voice matters, we encourage proactive communication and fresh ideas. Supportive Team: From your very first day to every career milestone, we’ve got your back—with long-term growth and projects you can truly thrive in. Learn and Grow: Training, coaching, and international opportunities to level up your skills and careerBe part of a B-Corp company that puts people and planet first while creating meaningful impact. 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.
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, ages, and personalities to live out our diverse culture and make a positive impact on the world.
Our 5 Values:Make a social impact: We balance our work for client teams and for society by constantly making a positive impact. Be proactive: We encourage brave thinking and continuous improvement, and drive change through action. Create value: We create measurable values for our stakeholders: our teams, partners, suppliers, investors, and communities. Be fair, open and honest: We foster equality and inclusivity in a supportive environment that embraces diversity and celebrates achievements. Add fun, passion and love: We prioritise fun and passion, fostering higher engagement and a positive can-do attitude.
What makes us different.
Our culture code.
You will be a part of our vibrant company culture and experience a workplace where your contributions are valued, your growth is encouraged, and your opinion is respected:Challenged, autonomous, momentumLearning, growth mindsetLead by
our values
Heard, cared for, make good friendsWhat happens after you submit your application.
The whole process takes around 3-4 weeks:There will be 2-3 interviews and a possible assessment from our client partner.
You will undergo an initial interview, a culture interview, and 1-2 interviews with our cool client.
This will run for about 3-4 weeks but we will let you know if we need to ramp it up. Be yourself and have fun.
We will constantly communicate with you as to the development of your application.
You can also directly communicate with us to ask us about the status of your application.
If all goes well, we complete the reference check and provide other necessary
requirements
so we can offer you the job right away.
We would be grateful if you have these already:Fit to Work/Health Card (Basic 5 employment medical tests)NBI ClearanceSocial IDs - PHIC, SSS, HDMF, TIN Character references with contact infoAt 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.
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. Build AI-powered product features that customers interact with daily in the organization platform, directly shaping their construction management workflowsDesign and implement prompt engineering strategies and LLM workflows for production useBuild robust ML pipelines that integrate with our Databricks environmentManage model lifecycle, versioning, and monitoring to ensure reliability in productionCollaborate with data engineers to design scalable feature engineering workflowsImplement observability and monitoring solutions for ML models in productionWork across the ML spectrum from vision models to natural language processingContribute to our MLOps practices and tooling improvementsYou’ll be a great fit if:You have a software engineering background with at least 2–3 years of experience building and deploying ML models in production environments.
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 solid Python programming skills with experience in ML frameworks (scikit-learn, TensorFlow, PyTorch, or similar).
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 dataYou have experience with multimodal AI applications (vision + language)You are familiar with dbt or similar data transformation toolsYou have an understanding of multi-tenant architecture and row-level security considerationsYou have experience with CI/CD for ML (MLOps)What you gain beyond the role:Remote + Hybrid Flexibility: Enjoy the best of both worlds—collaborative office days when it counts, balanced with the freedom to work from home. Achieve Work-Life Balance and Flexibility: Work in an environment where you’re trusted and empowered to work independently, while still having the support you need to deliver your best. Here, flexibility isn’t just a perk—it’s how we help you perform at your best, without sacrificing life outside of work. Open Culture: Your voice matters, we encourage proactive communication and fresh ideas. Supportive Team: From your very first day to every career milestone, we’ve got your back—with long-term growth and projects you can truly thrive in. Learn and Grow: Training, coaching, and international opportunities to level up your skills and careerBe part of a B-Corp company that puts people and planet first while creating meaningful impact. 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.
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, ages, and personalities to live out our diverse culture and make a positive impact on the world.
Our 5 Values:Make a social impact: We balance our work for client teams and for society by constantly making a positive impact. Be proactive: We encourage brave thinking and continuous improvement, and drive change through action. Create value: We create measurable values for our stakeholders: our teams, partners, suppliers, investors, and communities. Be fair, open and honest: We foster equality and inclusivity in a supportive environment that embraces diversity and celebrates achievements. Add fun, passion and love: We prioritise fun and passion, fostering higher engagement and a positive can-do attitude.
What makes us different.
Our culture code.
You will be a part of our vibrant company culture and experience a workplace where your contributions are valued, your growth is encouraged, and your opinion is respected:Challenged, autonomous, momentumLearning, growth mindsetLead by
our values
Heard, cared for, make good friendsWhat happens after you submit your application.
The whole process takes around 3-4 weeks:There will be 2-3 interviews and a possible assessment from our client partner.
You will undergo an initial interview, a culture interview, and 1-2 interviews with our cool client.
This will run for about 3-4 weeks but we will let you know if we need to ramp it up. Be yourself and have fun.
We will constantly communicate with you as to the development of your application.
You can also directly communicate with us to ask us about the status of your application.
If all goes well, we complete the reference check and provide other necessary
requirements
so we can offer you the job right away.
We would be grateful if you have these already:Fit to Work/Health Card (Basic 5 employment medical tests)NBI ClearanceSocial IDs - PHIC, SSS, HDMF, TIN Character references with contact infoAt 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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Sharesource Australia BPO Corporation Philippines
