This is a remote position.
We are seeking a visionaryAI Engineerwith expertise in designing and building LLM-powered AI pipelines and multi-agent chatbot systems. You will lead the architectureandimplementationofRetrieval-AugmentedGeneration(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.
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:
- 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
- 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
10. SHIFT TIMES: 8AM to 5PM Philippine time, Tuesday to Saturday
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