AI/DATA INTEGRATION SYSTEM ENGINEER

Employment type: Full-time

Location: Singapore / Hong Kong

About the Role

We are hiring an AI/Data Integration System Engineer to drive Arrowpoint’s AI initiatives end-to-end—from rapid prototyping to production integration at scale.

This is a hybrid role that blends applied AI engineering (developing practical tools that directly impact trading, risk, and operations) with data engineering excellence (ensuring models and workflows run reliably in production). You’ll experiment with new AI techniques, build scalable data pipelines, and integrate AI-driven insights into our Veda platform, which powers the firm’s core investment and risk workflows.

A key part of this role will also involve engaging with cutting-edge AI startups and technology providers—separating hype from tangible value, and ensuring that Arrowpoint’s adoption of AI is both forward-looking and pragmatic.

You will collaborate closely with our Product Manager, engineers, and investment teams to prioritize initiatives, shape roadmaps, and deliver high-impact solutions aligned with the firm’s

strategic goals. This includes ensuring that AI adoption meets the highest standards of security, governance, and compliance, which are critical in a regulated hedge fund environment.

What We Are Looking For

• Strong backend engineering experience in Python.

• Proven track record building and maintaining data pipelines (structured + unstructured).

• Familiarity with relational databases (RDBs) and distributed data systems.

• Understanding of RAG workflows (chunking, embedding, vector search, retrieval orchestration).

• Experience deploying and operating services on cloud platforms (AWS preferred: EC2, RDS, OpenSearch, S3).

• Comfortable owning end-to-end workflows (experiment → deploy → monitor).

• Ability to design for stability, reliability, and compliance rather than chasing experimental architectures.

• Familiarity with security frameworks (NIST AI RMF, ISO/IEC 27001, SOC2) and their application to AI.

• Knowledge of data protection regulations (GDPR, HIPAA, CCPA) and privacy-preserving ML techniques.

• Strong problem-solving skills with attention to detail.

• Prior exposure to finance-targeted AI systems (e.g., Claude for Financial Services, BloombergGPT, or equivalents).

• Excellent communication skills to work across engineers, product managers, and investment teams.

Nice to Have

• Experience with Kubernetes (EKS/AKS) and cloud-native infrastructure.

• Experience developing or operating search systems (keyword search, vector search, hybrid).

• Prior experience working with financial datasets or financial services workflows.

• Experience with data QA, labeling, or annotation automation.

• Experience designing or operating SaaS architectures and deployment pipelines.

• Contributions or strong interest in LLM, NLP, RAG, or Information Retrieval.

• Proactive communicator with curiosity and persistence in problem solving.

What You Will Do

Backend Services & Pipelines

• Develop and operate Python-based backend services and data processing pipelines.

• Maintain and improve data ingestion, transformation, and delivery systems for both AI and non-AI workflows.

AI Integration

• Build and enhance RAG pipelines (chunking, embedding, vector search) for financial and unstructured data.

• Integrate AI/LLM systems into trading, risk, and operations workflows with a focus on production reliability.

• Evaluate and integrate vendor-provided AI tools/startup solutions, ensuring alignment with Arrowpoint’s needs.

Data Quality & Governance

• Develop quality management systems for structured (market, reference) and unstructured data (research, news, social, transcripts).

• Safeguard against poor data quality or hallucinations in AI-driven workflows.

• Ensure compliance, auditability, and observability are built into every integration.

Collaboration & Planning

• Work closely with the Product Manager to prioritize AI/data initiatives and align with the broader platform roadmap.

• Partner with portfolio managers, risk teams, and operations to understand real-world challenges and design scalable solutions.

• Support non-AI engineering projects when required, contributing as a full Core Tech team member.

Infrastructure & Operations

• Operate and monitor Kubernetes-based cloud infrastructure.

• Support continuous performance optimization, monitoring, and stable deployments.

• Design and optimize scalable SaaS-like architectures within the hedge fund environment.

Why Join Arrowpoint?

• Build mission-critical systems at the intersection of finance and AI.

• Engage directly with AI startups and technology providers, shaping Arrowpoint’s adoption strategy.

• Collaborate with a world-class team of engineers, product managers, and portfolio managers.

• Directly impact trading, risk, and operational workflows in one of Asia’s largest hedge fund launches

To apply, email CV to tech.careers@arrowpointfund.com