Software Development Engineer II

OnebyZero .; Makati; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

OnebyZero in Makati, Philippines, seeks a GenAI Engineer with 3–6 years of experience to design and build production-grade AI systems using LLMs, RAG, and agent-based architectures.

You will develop end-to-end pipelines, optimize embeddings and vector search, orchestrate agent workflows with LangChain/LangGraph, and build cloud-native microservices and APIs to scale AI applications.

Qualifications

• 3–6 years in AI/ML engineering or applied AI roles.
• Hands-on experience building production-grade AI apps with LLMs, RAG, and agent-based systems.
• Strong programming skills in Python; exposure to Node.js/Java/Go is a plus.
• Experience designing cloud-native architectures including microservices and APIs.
• Familiarity with embeddings, vector databases, and retrieval strategies.
• Experience with graph databases such as Neo4j or Neptune.
• Ability to optimize performance, latency, and cost in AI systems.

Responsibilities

• Design and build production-grade AI features leveraging LLMs, RAG pipelines, and agent-based systems.
• Implement end-to-end RAG pipelines including retrieval strategies, embeddings, and vector search optimization.
• Orchestrate agent workflows using LangGraph, LangChain, or similar with clear state management.
• Develop and deploy cloud-native microservices and APIs to serve AI applications at scale.
• Build and optimize event-driven architectures for real-time AI interactions.
• Model complex relationships using graph databases like Neo4j or Neptune.
• Fine-tune models and optimize performance for domain-specific use cases.
• Ensure production reliability with latency, throughput, and token-cost controls.
• Implement observability, monitoring, and logging for AI systems.

Skills

Python

LLMs

RAG pipelines

LangChain/LangGraph

Cloud-native microservices

Embeddings & vector search

Performance optimization

Observability & monitoring

Education

Bachelor's degree in Computer Science or related field

Tools

Neo4j

Amazon Neptune

REST/gRPC

Docker

Kubernetes

LangChain

Job description

Makati, Philippines | Posted on 04/01/2026

OnebyZero is a next-generation Data and AI consulting company, headquartered in Singapore and driving impact across APAC. As an AWS-exclusive partner, we help enterprises modernize data, transform with AI, and apply Generative AI in ways that deliver real business results.

Our vision is simple while at the same time ambitious: to make AI adoption both impactful and human-centered. We collaborate with leading enterprises in banking, telecommunications, retail, and other industries to help them unlock tangible value from their data and AI initiatives. By combining deep industry expertise, trusted partnerships, and a relentless focus on outcomes, OnebyZero empowers organizations to go beyond pilots and achieve lasting, scaled impact

We are seeking a GenAI Engineer with 3–6 years of experience to design and build production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. This role requires strong engineering depth combined with applied AI expertise to deliver scalable, reliable, and efficient AI-powered applications.

What You’ll Do & The Impact You’ll Have

• Design and build production-grade AI features leveraging LLMs, RAG pipelines, and agent-based systems.
• Implement end-to-end RAG pipelines including retrieval strategies, embeddings, vector search optimization, context orchestration, guardrails, and fallback mechanisms.
• Orchestrate agent workflows using frameworks such as LangGraph, LangChain, or similar, ensuring clear state management and safe multi-step reasoning.
• Develop and deploy cloud-native microservices and APIs (REST/gRPC) to serve AI applications at scale.
• Build and optimize event-driven architectures for real-time AI system interactions.
• Work with graph databases (e.g., Neo4j, Amazon Neptune) to model and query complex relationships.
• Fine-tune models and optimize performance for domain-specific use cases.
• Ensure production reliability including latency optimization, throughput scaling, token efficiency, and cost control.
• Implement observability, monitoring, and logging for AI systems, including prompt/model versioning and rollback strategies.
• Collaborate with cross-functional teams including data scientists, engineers, and product stakeholders to deliver impactful AI solutions

Requirements

What You’ll Bring to the Table

Must-Have Skills:

• Experience: 3–6 years in AI/ML engineering, software engineering, or applied AI roles.
• Hands-on experience building production-grade applications using LLMs, RAG, and agent-based systems.
• Strong programming skills in Python, with exposure to Node.js, Java, or Go.
• Experience designing cloud-native architectures including microservices, REST/gRPC APIs, and event-driven systems.
• Solid understanding of embeddings, vector databases, and retrieval strategies.
• Experience with agent orchestration frameworks (e.g., LangChain, LangGraph) or similar.
• Exposure to model fine-tuning and performance optimization techniques.
• Experience working with graph databases such as Neo4j or Amazon Neptune.
• Strong understanding of system performance, scalability, and cost optimization in AI systems.
• Experience implementing observability, monitoring, and debugging for production systems.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Nice-to-Have Skills:

• Experience with cloud platforms (AWS, GCP, or Azure) for deploying AI systems.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Exposure to prompt engineering techniques and evaluation frameworks.
• Experience working in consulting or client-facing environments.

What We Bring to the Table

• Impact-First Culture: Your work directly contributes to real-world AI solutions and business outcomes.
• Professional Growth: Continuous learning opportunities, mentorship from industry leaders, and a clear path for career development.
• Competitive Compensation: Market-leading salary, benefits, and incentives.
• Dynamic Team Environment: Collaborate with a high-performing team that values curiosity, integrity, and ownership.
• Global Exposure: Opportunities for international travel.

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees