Production GenAI Engineer — LLM Systems & RAG Pipelines

onebyzero; Makati; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation

AWS partnership access

Global team

Diversity and inclusion

Job summary

OneByZero is seeking an Applied AI Engineer with 3–4 years of ML engineering experience to design and build production‑grade GenAI systems across Asia Pacific. You will help shape end‑to‑end LLM architectures, RAG pipelines, and multi‑agent setups, with a strong emphasis on production readiness and reliable software fundamentals.

You will work on real‑world enterprise use cases, pre‑train and fine‑tune models, evaluate performance and cost, and collaborate with cross‑functional teams to deliver

Qualifications

• 3–6 years of experience in ML engineering, LLMs, or model development roles.
• Hands‑on experience with CPT, SFT, LoRA, or QLoRA on LLMs.
• Strong Python programming skills.
• Ability to write clean, testable, production‑ready code.
• Experience running model evaluation and benchmarking pipelines.
• Solid understanding of transformer architectures and fine‑tuning effects.
• Experience deploying fine‑tuned and pre‑trained models to cloud environments with cost and latency awareness.
• Strong problem‑solving and independent client‑facing work capability.
• Solid software fundamentals: APIs, data structures, testing, debugging, and performance optimization.
• Ability to review designs, communicate trade‑offs, and collaborate in a fast‑paced environment.
• Experience with AWS‑native GenAI building blocks and secure enterprise deployments.
• Experience with vector databases/search engines and retrieval optimization.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Experience building evaluation/observability pipelines for LLM systems and implementing safety/guardrail patterns.
• Consulting or client‑facing delivery experience.

Responsibilities

• Design and contribute to end‑to‑end LLM system architecture for real‑world enterprise use cases.
• Pre‑train, fine‑tune LLMs and domain models for client needs.
• Design and run model evaluation pipelines to benchmark performance and cost.
• Optimize models for latency, throughput, and token efficiency in production.
• Integrate fine‑tuned models into multi‑agent pipelines with orchestration teams.
• Implement prompt versioning, rollback strategies, and monitoring for reliability.
• Translate client requirements into model adaptation strategies with clear success criteria.
• Contribute to internal knowledge sharing on fine‑tuning practices and tooling.
• Define enterprise integration patterns for GenAI systems including governance and data boundaries.
• Improve production reliability and cost control; collaborate across cross‑functional teams.
• Contribute hands‑on code, reviews, and raise engineering standards.

Skills

Python

ML engineering

LLMs

Production code

Tools

Docker

Kubernetes

Bedrock

OpenSearch

Lambda

ECS/EKS

Pinecone

Weaviate

Milvus

FAISS

Job description

OneByZero is seeking an Applied AI Engineer with 3–4 years of ML engineering experience to design and build production‑grade GenAI systems across Asia Pacific. You will help shape end‑to‑end LLM architectures, RAG pipelines, and multi‑agent setups, with a strong emphasis on production readiness and reliable software fundamentals.

You will work on real‑world enterprise use cases, pre‑train and fine‑tune models, evaluate performance and cost, and collaborate with cross‑functional teams to deliver