Correlation and Causality Engineer (AI)

Location: Hybrid, Makati City, Philippines

Company

hirify.global provides wealth management technology and services for financial institutions, including private banks, wealth managers, investment managers, and retail and neo banks.

What you will do

• Design and implement correlation, root-cause analysis, causal inference, and event-linking solutions across logs, metrics, traces, and other observability data.
• Design, train, evaluate, maintain, and productionize machine learning and statistical models for anomaly detection, time-series analysis, and causal inference.
• Build Java and Python services and LLM-based applications using RAG, agents, tool/function calling, embeddings, and vector stores.
• Select, deploy, fine-tune, and operate AI models on local or on-premises infrastructure while addressing performance, cost, security, and privacy.
• Explore Prometheus, OpenTelemetry, Loki, and Grafana data, consult with DevOps, SRE, application development, product, and operations teams, and translate operational needs into AI-driven solutions.
• Maintain engineering quality through testing, code reviews, documentation, Git, CI/CD, containerized deployments, monitoring, and continuous improvement.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; equivalent experience may be considered.
• Strong Java and Python development skills, including software design, testing, and engineering best practices.
• Strong AI expertise with experience in machine learning, statistical modeling, time-series analysis, anomaly detection, correlation, and causal inference.
• Hands-on experience with LLMs and related tooling, including prompt engineering, RAG, embeddings, vector databases, agents, and tool-calling frameworks such as LangChain or similar.
• Experience running and fine-tuning AI models locally or on-premises, including model selection, optimization, and GPU/resource requirements.
• Proficiency with data and ML libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
• Solid DevOps skills with Git, CI/CD pipelines, Jenkins, and GitLab or GitHub; good working knowledge of Docker and Kubernetes.
• Some experience with observability stacks and standards such as Prometheus, OpenTelemetry, Loki, and Grafana, including logs, metrics, and traces.
• Ability to analyze data, understand business and operational needs with stakeholders, communicate complex technical concepts, solve problems, and work collaboratively amid changing priorities.

Nice to have

• Familiarity with infrastructure as code, such as Terraform, and cloud platforms such as AWS, Azure, OCI, or GCP.

Culture & Benefits

• Hybrid and flexible working is offered for most employees to support work-life balance.
• Collaborative, supportive, and inclusive work environment across global offices.
• Equal-opportunity culture committed to diversity and inclusion.
• Full-time employment.

Hiring process

• Speculative CV submissions from recruitment agencies are not accepted; unsolicited candidate submissions do not create payment expectations.