AI Engineer

Job Description

This is a remote position.

PHILIPPINE-BASED APPLICANTS

TECHNICAL ASSIGNMENT IS REQUIRED BY THE CLIENT BEFORE MOVING FORWARD TO THE FINAL INTERVIEW.

We are seeking a visionary AI Engineer with expertise in designing and building LLM-powered AI pipelines and multi-agent chatbot systems. You will lead the architecture and implementation of Retrieval-Augmented Generation (RAG) systems, integrate LLM APIs, and orchestrate autonomous and collaborative agent workflows to deliver sophisticated AI-driven customer-facing and internal tools.

Responsibilities:
● AI Pipeline Architecture & Development: Design and implement end-to-end AI pipelines, including data ingestion, prompt engineering, RAG orchestration, deployment, monitoring, and retraining.
● Multi-Agent System Design: Build and coordinate intelligent agents (e.g., planner, retriever, synthesizer) to collaborate dynamically in complex workflows—mirroring frameworks like MA-RAG.
● LLM Integration & Fine-Tuning: Deploy and manage integrations with leading LLM APIs (e.g., OpenAI, Anthropic, Gemini), optimizing performance through fine-tuning, prompt design, vector databases, and tool use.
● Tooling & MLOps (LLMOps): Implement robust MLOps pipelines—CI/CD, monitoring, version control, observability—for LLM systems, supporting reliability and scalability.
● Evaluation & Metrics Frameworks: Define evaluation strategy focused on correctness, latency, hallucination, multi-step reasoning, and user experience—similar to frameworks used in agent pipeline roles.
● Cross-Functional Collaboration & Leadership: Partner with product managers, data engineers, software teams, and domain experts to shape system behavior; mentor junior engineers and guide best practices.

Requirements

● Bachelor’s or Master’s degree in Computer Science, AI, or related domain.
● Experience: You must have at least 2-3 years experience building production-level LLM, AI agent, or RAG systems.

● Technical skills:
○ Python expertise; familiarity with AI/LLM frameworks (LangChain, LlamaIndex, Hugging Face, etc.)
○ Hands-on with RAG, vector embeddings, prompt engineering
○ Experience integrating LLM APIs, fine-tuning strategies, efficient inference, and memory augmentation.

● Strong background in MLOps/LLMOps—CI/CD, deployment, monitoring, observability, model versioning, A/B testing.
● Demonstrated ability to design multi-agent or autonomous systems, with experience in agent orchestration frameworks or custom pipelines.
● Excellent communication and leadership: can translate complex technical ideas and guide teams through innovation.
● Bonus: prior contributions to open-source, publications in AI, or conference speaking engagements (e.g., on advanced LLM or agent architectures).

Work Environment & Expectations While this is a work-from-home position, it is important to note that this is a full-time role—not a freelance or flexible-hour arrangement. You will be expected to work a fixed shift and maintain a high level of professionalism and accountability, just as you would in an office environment.

✅ This role requires:

• Discipline and commitment to set working hours (strict shift times, not flexible)

• Use of time tracking software during work hours

• Active participation in team and client calls with your camera ON

• Consistent availability and responsiveness throughout your shift

• Treating this as a long-term, full-time job—not a side gig or freelance task


⏱ Payroll is processed bi-monthly.

We’re looking for someone who values structure, is dependable, and thrives in a role that provides consistency and clarity. If you’re seeking stability and a team that appreciates reliability, we’d love to hear from you.

Benefits

1. Monthly Salary: Php 90,000
2. Salary will be paid on a bi-monthly basis on the 15th and 30th or 31st of each month
3. You will be paid extra for overtime and Philippines public holidays
4. Probation: 6 months and after Probation

10 days annual leave credits
5 days of sick leave
5. HMO Offered after 6-month probation
6. 13th Month Pay after 30 days
7. Annual Salary Review
8. Laptop provided after 30 days
9. Permanent work-from-home role. You will have to use your own internet.
10. SHIFT TIMES: 8AM to 5PM Philippine time, Tuesday to Saturday


Requirements
● Bachelor’s or Master’s degree in Computer Science, AI, or related domain. ● Experience: You must have at least 5 years experience building production-level LLM, AI agent, or RAG systems. ● Technical skills: ○ Python expertise; familiarity with AI/LLM frameworks (LangChain, LlamaIndex, Hugging Face, etc.) ○ Hands-on with RAG, vector embeddings, prompt engineering ○ Experience integrating LLM APIs, fine-tuning strategies, efficient inference, and memory augmentation. ● Strong background in MLOps/LLMOps—CI/CD, deployment, monitoring, observability, model versioning, A/B testing. ● Demonstrated ability to design multi-agent or autonomous systems, with experience in agent orchestration frameworks or custom pipelines. ● Excellent communication and leadership: can translate complex technical ideas and guide teams through innovation. ● Bonus: prior contributions to open-source, publications in AI, or conference speaking engagements (e.g., on advanced LLM or agent architectures).