Senior Backend Engineer (AI Project)

Company Overview

At Omise, we believe the digitalization of the economy has opened up the world and offers endless opportunities to grow and make meaningful connections with one another. Omise is powered by its payment infrastructure sister company, Omise Payment Holdings, which provides one-stop online payment solutions. Omise connects people, businesses and society in innovative ways to provide fair and open access to a growing economic ecosystem under its vision of enabling access to the digital economy for everyone. We are on a mission to make digital finance seamless and borderless for people and businesses. Our solutions are used by thousands of companies worldwide including Toyota, ByteDance, ICBC, SCB, True, Allianz Ayudhya, McDonald's, BMW, King Power and Pomelo. We are obsessed with solving financial coordination problems and developing new business models and technology that enable businesses to grow. We focus on addressing financial complexities and chokepoints by offering seamless and borderless solutions for our customers because we want them to focus on their core business and value proposition. As a value-driven organization, we are dedicated to selecting and retaining the sharpest minds across all functions. Help us make digital finance seamless and borderless for people and businesses.

Role Overview

We are building a production-grade GenAI platform focused on privacy, security, and enterprise use cases. As a Senior Backend Engineer, you will design and build high-performance backend systems that power LLM inference, retrieval-augmented generation (RAG), and agent-based workflows all with strong guarantees around data protection and compliance. This role sits at the intersection of backend engineering, distributed systems, and applied AI infrastructure.

What you will be working on

A next-generation AI platform used in real-world enterprise scenarios. Systems that balance performance, safety, and privacy. A fast-moving environment where research meets production engineering.

Responsibilities

• Design and build scalable backend services and APIs (REST/gRPC) for AI-powered applications.
• Develop systems for LLM inference orchestration, including:
• Query processing pipelines
• Context enrichment (e.g., retrieval, memory, tools)
• Implement runtime safety and validation layers:
• Input/output filtering
• Policy enforcement
• Abuse and injection detection
• Build and optimize model serving integrations for high-throughput, low-latency inference.
• Develop data pipelines and storage systems for logs, metadata, and auditability.
• Work closely with ML engineers to productionize research into reliable services.
• Contribute to system reliability, observability, and performance optimization.

Core Engineering

• 5-10+ years of experience in backend or distributed systems engineering.
• Strong proficiency in Python, Go, or similar backend languages.
• Experience designing scalable APIs and microservices.
• Systems & Infrastructure Experience with cloud platforms (AWS/GCP/Azure).
• Familiarity with Kubernetes and containerized workloads.
• Strong understanding of system design, reliability, and performance trade-offs.
• AI / Data Systems (Preferred)
• Experience working with: LLM-based systems RAG pipelines or search systems High-throughput inference services
• Security & Reliability Experience designing secure systems (auth, access control, data protection).
• Understanding of multi-tenant systems and isolation.

Nice to Have

• Experience with LLM serving frameworks.
• Familiarity with real-time or event-driven architectures.
• Exposure to privacy-preserving or compliance-driven systems.
• Experience building developer platforms or APIs.