The Role
Design and implement LLM-powered AI pipelines and multi-agent chatbot systems, including architecture, integration, and cross-functional collaboration.
Summary Generated by Built In
This is a remote position.
PHILIPPINE-BASED APPLICANTS
TECHNICAL ASSIGNMENT IS REQUIRED BY THE CLIENT BEFORE MOVING FORWARD TO THE FINAL INTERVIEW.
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
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
Skills Required
- Bachelor's or Master's degree in Computer Science, AI, or related domain
- At least 5 years experience building production-level LLM, AI agent, or RAG systems
- Python expertise and familiarity with AI/LLM frameworks
- Hands-on with RAG, vector embeddings, prompt engineering
- Experience integrating LLM APIs and fine-tuning strategies
- Strong background in MLOps/LLMOps
- Ability to design multi-agent or autonomous systems
- Excellent communication and leadership skills
- Prior contributions to open-source or publications in AI
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The Company
What We Do
24x7 Direct is a leading Australian ISO Certified BPO and Virtual Staffing Agency, providing outsourcing solutions and virtual assistants to businesses.
