Job Description

About the Role

I am hiring a

Senior Software Engineer

to lead the design and implementation of my client's first Minimum Viable Product (MVP) and foundational platform. This role is ideal for builders who want to shape next-gen systems integrating

Agentic AI

,

semantic data orchestration

, and

cloud-native infrastructure

into a dynamic enterprise-grade platform.

You will be a key contributor in translating a "Design-to-Process-to-Platform (D2P2)" vision into scalable, production-ready systems using Google Cloud, Vertex AI, and multi-agent coordination frameworks. I am looking for someone who thrives on complex system thinking and enjoys building robust architecture hands-on.

Key Responsibilities

Architect and develop an MVP and platform foundation using Google Cloud and Agentic AI frameworks Implement and manage AI agent systems (observe-reason-act cycles, memory, planning layers) Build secure, scalable backend systems using Node.js, Python (FastAPI/Flask), or JVM stack Design frontend UI (React, Tailwind) for multimodal interaction Integrate and orchestrate LLMs (Claude, OpenAI, OSS) in hybrid cloud setups Design semantic and vector-driven data layers (GraphDB, Pinecone, RDF, OWL) Implement event-driven pipelines (Kafka, Airbyte, Airflow) with robust APIs Ensure best practices in secure coding (GDPR, EU AI Act, SOC2 compliance) Collaborate with AI researchers, product leads, and design partners Ship rapid iterations while maintaining architectural scalability

1. Core Technical Skills Required

Cloud & Infrastructure:

Strong Google Cloud Platform (GCP) expertise Vertex AI for fine-tuning, orchestration, and deployment Cloud Run, GKE, BigQuery, Cloud SQL, Dataplex Event-driven architecture with CI/CD (Cloud Build, Artifact Registry)

Agentic AI Systems:

Frameworks: LangChain, CrewAI, AutoGen-style agents Agent architecture: autonomy loops, MAS coordination Multi-model orchestration across Claude, OpenAI, OSS LLMs

Data & Integration:

Semantic modeling: RDF, OWL, Stardog/GraphDB Vector DBs: Pinecone, Weaviate, Chroma Pipelines: Kafka, dbt, Airbyte, Airflow API-first, real-time microservices architecture

Software Engineering:

Backend: Node.js, Python (FastAPI/Flask), JVM Frontend: React, Tailwind, multimodal UI frameworks Testing, observability, verification, resilience design patterns Compliance-focused engineering and infrastructure governance

2. Requirements

7-10+ years in software engineering, with deep experience in platform architecture Demonstrated delivery of enterprise-grade systems (ideally in AI/ML or orchestration domains) Hands-on GCP infrastructure design and production deployment experience Strong experience with agent-based AI development in real-world use cases Familiarity with multi-agent system (MAS) design and coordination challenges Strong system thinking, security awareness, and problem-solving mindset Ability to work in cross-functional, early-stage, high-impact environments Track record of building platforms (not just applications)

Malaysian Citizen

Senior/Architect level - MUST be hands on.

Codes daily, design core architecture, sets engineering standards

Why Join Us?

Agentic AI Frontier

: Build bleeding-edge autonomous systems from scratch

Semantic + Scalable

: Architect data-rich, cloud-native, event-driven platforms

Equity & Growth

: Competitive compensation with equity and long-term growth

Research-Driven

: Collaborate with researchers and contribute to evolving AI protocols

Founder Proximity

: Work directly with founders on high-impact deliverables

Schedule

: Flexible hours with remote-first collaboration

Work Arrangement

: Remote, with preference for candidates within 3 hours of APAC time zones

Job Type: Full-time

Pay: Up to RM18,000.00 per month

Experience:

software engineering at enterprise-grade level: 7 years (Preferred) Google cloud architecture: 5 years (Preferred)
Work Location: In person