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AI Engineer

Role overview

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI, or related domain
  • At least 5 years of experience building production-level LLM, AI agent, or RAG systems
  • Proficiency in Python and AI/LLM frameworks (LangChain, LlamaIndex, Hugging Face) with hands-on experience in RAG, vector embeddings, and prompt engineering
  • Strong background in MLOps/LLMOps (CI/CD, deployment, monitoring, observability, model versioning, A/B testing)

Responsibilities

  • Design and develop end-to-end AI pipelines, including data ingestion, prompt engineering, RAG orchestration, deployment, monitoring, and retraining
  • Architect and coordinate multi-agent systems (planner, retriever, synthesizer) to collaborate dynamically in complex workflows
  • Integrate and fine-tune LLM APIs (e.g., OpenAI, Anthropic, Gemini) with vector databases, tooling, and memory augmentation
  • Build and maintain robust MLOps/LLMOps pipelines (CI/CD, monitoring, versioning, observability) and define evaluation metrics (correctness, latency, hallucination, multi-step reasoning, user experience)

About the company

24x7 Direct logo

24x7 Direct

Looking for a reliable outsourcing partner that can help your business grow? Look no further than 24x7 Direct!At 24x7 Direct, we offer a wide range of outsourcing solutions to help businesses of all sizes save money, boost efficiency, and achieve their goals. Whether you're looking to outsource your customer service, IT support, accounting, or any other business function, we've got you covered.Our team of highly skilled professionals is based in the Philippines, one of the world's top outsourcing destinations. With years of experience and a commitment to excellence, we're proud to offer our clients the highest quality services at a fraction of the cost of traditional in-house staffing.But we're not just about saving you money - we're also committed to delivering outstanding customer service and support. We work closely with our clients to understand their unique needs and requirements, and we're always available to answer questions, provide guidance, and offer support.So if you're ready to take your business to the next level, let 24x7 Direct be your outsourcing partner. Contact us today to learn more about our services and how we can help your business thrive.www.24x7direct.com.au

Company details

Company typeSME
Company size51 - 200

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Job description

This is a remote position.

PHILIPPINE-BASED FILIPINO 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 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).

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 82,000
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


Salary: Php 82,000

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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