AI Engineer, Data Scientist

Manila Recruitment

AI Engineer focused on architecting AI solutions for decision-making and planning. Collaborating with global teams and driving deployments in a remote environment.

Posted 4/14/2026full-timeRemote • 🇵🇭 PhilippinesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDockerIoTPython

About the role

Key responsibilities & impact

Leading the architecture, design, strategy, development and implementation of agentic AI systems capable of goal-driven decision-making, planning, and action under real-world constraints
Translate product and customer requirements into production grade AI system designs
Drive rapid iteration of deployment while maintaining system reliability and safety
Participating in peer-reviews of solution designs and related code
Working with teammates to dive efβiciencies to development procedures
Analyzing and resolving technical problems
Deβining standards for the platform to deliver AI solutions
Balance learning-based approaches with deterministic or rules-based components where appropriate
Support customer-facing and sales technical discussions when AI and platform expertise is required

Requirements

What you’ll need

BS or above in Computer Science, Data Science, AI Engineering or technical equivalent.
3 to 5+ years in applied AL / ML solution development
3+ years Software Development experience using the Python ecosystem
An agile self-starter with a software craftsmanship mindset and the ability to act on their own initiative and self-direct.
Experience dealing with uncleaned real-world data.
Experience working with domain experts to improve problem definitions, metric selection, and feature selection.
Experience working with a globally distributed team in different time zones.
Advantageous Experience/Skills:
2+ years building agentic AI using common frameworks / MCP
At least 1+ years developing RL agent/ LLMs & RAG/ anomaly prediction & forecasting solutions
2+ years IoT and Timeseries data manipulation
2+ years AWS cloud and/or Docker
Proficiency with MLOps
Digital twins, physical models / simulators, or model-based RL
Experience using AI for industrial process control
Working Knowledge of Test-Driven Development
Working knowledge of SOC2 & ISO 27001 standards
Experience working in the water industry
AI certifications

Benefits

Comp & perks

🌐 Worldwide Post a Job Affiliates ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs Account Manila Recruitment Website LinkedIn All Job Openings 11 - 50 employees Founded 2010 🎯 Recruiter 🏢 Enterprise Recruitment
Enterprise Manila Recruitment is a leading recruitment agency based in the Philippines, specializing in innovative talent sourcing and headhunting services. The agency provides a wide range of recruitment solutions including executive search, IT recruitment, offshore staffing solutions, remote staffing, and more. With a focus on understanding clients' strategic business objectives, Manila Recruitment offers tailored recruitment strategies for multinationals, corporations, and start-ups entering the Filipino market. The firm prides itself on a process-driven approach, offering comprehensive candidate guarantees and a database of over 250,000 candidates. Certified headhunters at Manila Recruitment are dedicated to passive candidate sourcing, ensuring quality hires that align with company culture and requirements. AI Engineer, Data Scientist Job not on LinkedIn 🔥 7 minutes ago 🇵🇭 Philippines – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume for this job ☆ Save ☑️ Mark as applied ❌ Hide Report problem 📋 Description
Leading the architecture, design, strategy, development and implementation of agentic AI systems capable of goal-driven decision-making, planning, and action under real-world constraints
Translate product and customer requirements into production grade AI system designs
Drive rapid iteration of deployment while maintaining system reliability and safety
Participating in peer-reviews of solution designs and related code
Working with teammates to dive efβiciencies to development procedures
Analyzing and resolving technical problems
Deβining standards for the platform to deliver AI solutions
Balance learning-based approaches with deterministic or rules-based components where appropriate
Support customer-facing and sales technical discussions when AI and platform expertise is required 🎯 Requirements
BS or above in Computer Science, Data Science, AI Engineering or technical equivalent.
3 to 5+ years in applied AL / ML solution development
3+ years Software Development experience using the Python ecosystem
An agile self-starter with a software craftsmanship mindset and the ability to act on their own initiative and self-direct.
Experience dealing with uncleaned real-world data.
Experience working with domain experts to improve problem definitions, metric selection, and feature selection.
Experience working with a globally distributed team in different time zones.
Advantageous Experience/Skills:
2+ years building agentic AI using common frameworks / MCP
At least 1+ years developing RL agent/ LLMs & RAG/ anomaly prediction & forecasting solutions
2+ years IoT and Timeseries data manipulation
2+ years AWS cloud and/or Docker
Proficiency with MLOps
Digital twins, physical models / simulators, or model-based RL
Experience using AI for industrial process control
Working Knowledge of Test-Driven Development
Working knowledge of SOC2 & ISO 27001 standards
Experience working in the water industry
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Hard Skills & Tools

AI systemsgoal-driven decision-makingmachine learningPythonreinforcement learninglarge language modelsanomaly predictionforecasting solutionsMLOpsTest-Driven Development

Soft Skills

self-startersoftware craftsmanship mindsetinitiativeproblem-solvingcollaborationcommunicationadaptabilityefficiency improvementpeer review participationcustomer-facing discussions

Certifications

AI certificationsSOC2ISO 27001