AI Engineer at 24x7 Direct

Olongapo, Central Luzon, Philippines -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

160000.0

Posted On

15 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM, RAG, LangChain, LlamaIndex, Hugging Face, Vector Embeddings, Prompt Engineering, LLMOps, CI/CD, Agent Orchestration, Fine-Tuning, Inference Optimization, Multi-Agent Systems, Tool Use, Observability

Industry

Outsourcing and Offshoring Consulting

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 160,000 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

Responsibilities

The AI Engineer will design and implement end-to-end AI pipelines, focusing on Retrieval-Augmented Generation (RAG) orchestration, deployment, and monitoring. Responsibilities also include building and coordinating intelligent multi-agent systems that collaborate dynamically in complex workflows.