[Hiring] AI Engineer @24x7 Direct

Role Description

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.

• 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.

Qualifications

• 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; 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).

Requirements

• 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.

Benefits

• Monthly Salary: Php 160,000.
• Salary will be paid on a bi-monthly basis on the 15th and 30th or 31st of each month.
• You will be paid extra for overtime and Philippines public holidays.
• Probation: 6 months and after probation, 10 days annual leave credits and 5 days of sick leave.
• HMO Offered after 6-month probation.
• 13th Month Pay after 30 days.
• Annual Salary Review.
• Laptop provided after 30 days.
• Permanent work-from-home role. You will have to use your own internet.
• SHIFT TIMES: 8AM to 5PM Philippine time, Tuesday to Saturday.