AI Engineer

Job not on LinkedIn

🔥 2 hours ago

🇵🇭 Philippines – Remote

💵 ₱120k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pear Tree.

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Pear Tree is a Melbourne‑born offshore recruitment and hiring services company that connects Australian, US, and UK businesses directly with skilled offshore professionals (primarily from the Philippines) without agency markups. They provide end-to-end hiring support — sourcing, screening, skills assessments, video interviews, reference checks — and offer payroll, Employer‑of‑Record, and compliance assistance plus a six‑month replacement guarantee. Pear Tree recruits across IT, sales & marketing, finance, creative, admin and operations roles, emphasizing cost savings, direct pay to talent, and secure onboarding workflows.

📋 Description

• Design solution architecture using off-the-shelf models, RAG, agents and custom models based on client problems and budgets. • Integrate LLMs into client systems, including prompt design, tool use and agentic workflows. • Train, validate and deploy machine learning models for demand forecasting, anomaly detection and similar problems. • Analyse client data to assess use-case feasibility and build supporting data pipelines. • Evaluate and monitor production solutions for accuracy, drift, latency and cost, and optimise them. • Write tested, secure code with safeguards against prompt injection and data leakage. • Work with client executives, business users and IT teams to translate business problems into technical requirements and contribute to proposals. • Hand over solutions with documentation and training so client teams can operate and maintain them. • Work directly with the founder and client teams from scoping through go-live and handover.

🎯 Requirements

• 5+ years of professional software engineering, including at least two years building AI applications that run in production. • Consulting or professional services experience, delivering to external clients against a fixed scope. • A bachelor's or master's degree in computer science, engineering, mathematics or physics, or equivalent practical experience. • Advanced Python, including testing, packaging and writing code that other engineers can maintain. • Daily use of AI engineering tools such as Claude Code or Codex, including reviewing, testing and correcting the code they generate. • Hands-on experience integrating LLMs into applications, including RAG, prompt design, tool use and evaluation. • Experience building agents with the Model Context Protocol (MCP) or agent frameworks. • Experience training and deploying machine learning models with libraries such as scikit-learn, PyTorch or XGBoost. • Strong SQL and experience building data pipelines. • Experience deploying solutions on at least one cloud platform, preferably Azure or AWS, using containers and CI/CD. • The ability to explain technical trade-offs to non-technical executives in plain language. • Desired (not required): Experience with data platforms such as Databricks, Snowflake or Microsoft Fabric, and transformation tools such as dbt. • Desired (not required): Experience with LLM evaluation and observability tools, such as MLflow, Langfuse or LangSmith. • Desired (not required): Knowledge of LLM security risks, such as those in the OWASP Top 10 for LLM Applications. • Desired (not required): Experience running training sessions or workshops for technical or business audiences.

🏖️ Benefits

• Observing AU working hours • Observing AU holidays