Enterprise AI Engineer - Production ML/LLM

D2B; Metro Manila; On-site; PHP 804,000 - 1,339,000; Full time

Job summary

D2B in the Philippines is seeking an AI Engineer to design and deploy production-grade AI and ML solutions for enterprise clients. You will turn client problems into scalable systems that clients can operate after engagement ends, working with Australian clients across retail and energy sectors.

Responsibilities cover architecture, LLM integration, data pipelines and production monitoring. The role requires 5+ years software engineering with AI production experience, consulting experience, and

Qualifications

• 5+ years of professional software engineering, including at least two years building AI applications in production.
• Consulting or professional services experience delivering to external clients against 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 maintainable code.
• Daily use of AI engineering tools such as Claude Code or Codex.
• Hands-on experience integrating LLMs into applications (RAG, prompt design, tool use, evaluation).
• Experience building agents with MCP or agent frameworks.
• Experience training and deploying ML models with libraries like scikit-learn, PyTorch or XGBoost.
• Strong SQL and building data pipelines.
• Experience deploying solutions on cloud platforms (Azure/AWS) with containers/CI/CD.
• Ability to explain technical trade-offs to non-technical execs in plain language.

Responsibilities

• Design the solution architecture, selecting models (off-the-shelf, RAG, agents, or custom) per client problem and budget.
• Integrate LLMs into client systems with prompts, tools and agent workflows.
• Train, validate and deploy ML models for forecasting and anomaly detection.
• Analyze client data to test feasibility and build data pipelines powering models.
• Evaluate and monitor production solutions for accuracy, drift, latency and cost.
• Write tested, secure code with guardrails against prompt injection and data leakage.
• Collaborate with client executives, business users and IT teams to translate business needs into technical requirements.
• Handover solutions with documentation and training so client teams can run them.

Skills

Advanced Python

LLM integration

Data pipelines

Cloud platforms" Azure/AWS

SQL

Model deployment

Agent frameworks

Consulting delivery

Executive communication

Education

Bachelor's or Master's in CS/Engineering/Math/Physics

Tools

Claude Code

Codex

scikit-learn

PyTorch

XGBoost

Job description

D2B in the Philippines is seeking an AI Engineer to design and deploy production-grade AI and ML solutions for enterprise clients. You will turn client problems into scalable systems that clients can operate after engagement ends, working with Australian clients across retail and energy sectors.

Responsibilities cover architecture, LLM integration, data pipelines and production monitoring. The role requires 5+ years software engineering with AI production experience, consulting experience, and