AI/MLOps & Data Engineering Lead

Data Engineer (Python, AI/LLM)

Ho Chi Minh - Viet Nam

Outsource

Enriching a wide range of structured and unstructured data into datasets. Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment. Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data. Develop insights based on the data and collaborate with the research team to generate tradable signals. Developing the utility tools that can further automate the software development, testing and deployment workflow. Using your expertise to provide technical support for global researchers, including diagnosing root causes of technical problems and proposing solutions to developers.

Negotiation

C++ Engineer - Market Data

Ho Chi Minh, Ha Noi - Viet Nam

Product

• C/C++

Responsible for maintaining and improving the existing C++-based tick data processing platform and assisting in the transfer of datasets to a new tick data processing platform Contribute to the enhancement of a new C++-based tick data processing platform by enabling support for additional tick data feeds across asset classes and implementing new features and functionalities Work closely with the Research and Portfolio Management teams to ensure smooth transition from the legacy platform to the new system and support their price volume data requirements for signal generation.

Negotiation

AI-Native Software Engineering Lead

Ho Chi Minh - Viet Nam

Outsource

• Backend
• AI

Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation frameworks Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent, from prototype to production Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization Previous experience in a lead, principal, or staff engineer role with demonstrated cross-team influence Experience in outsourcing, consulting, or multi-client delivery environments Track record of building or leading an internal community of practice, guild, or AI adoption program Develop and continuously evolve the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to client practices Work closely alongside Delivery Teams as an AI transformation advisor and execution partner, identifying the highest-value automation opportunities across the SDLC and coordinating with the team to implement them Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context, with measurable ROI Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost Represent the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority

Negotiation