Senior .NET Developer

Senior AI Data Platform Engineer

Ho Chi Minh - Viet Nam

Product

#ML Data Platform Engineering & Administration Install, configure, and maintain ML data platforms on top of Kubernetes, Object Storage, Cassandra, Postgres and related technologies Monitor platform performance and optimize as needed for reliability and efficiency#Platform Configuration and Maintenance Implement and manage platform configurations, ensuring adherence to best practices and security standards Regularly update and patch systems to maintain security and stability#Collaborate with Cross-Functional Teams Work closely with ML and data engineers and other roles to align IT needs and strategies Provide expert guidance on ML data platform best practices and optimization#Troubleshoot and Resolve Technical Issues Identify, diagnose, and resolve data platform problems in a timely manner Escalate complex issues to upper-level support when necessary#Backup and Recovery Management Implement and maintain backup and recovery strategies for data platforms, ensuring data integrity and availability#Maintain and Update Documentation Create and maintain documentation related to data platform administration, configuration, and maintenance Share knowledge with team members and contribute to a culture of continuous learning#Enhance Data Security and Compliance Ensure data platforms adhere to security best practices and comply with relevant regulations Stay up-to-date on industry trends and evolving security standards#Drive Continuous Improvement Evaluate and implement new technologies and techniques to enhance data platform performance and administration Proactively identify areas for improvement, prepare plan for implementation and get support from management and development teams Always prefer automation and code-first approach over hard to reproduce manual tasks

Negotiation

Principal Software Engineer - Juno

Ho Chi Minh - Viet Nam

Outsource

• .NET
• AI

Own the technical vision and architecture of the AI platform - agent orchestration, LLM integration layers, tool/MCP integrations, and the APIs other teams build on Make and document high-impact architectural decisions, navigating trade-offs between velocity, cost, reliability, and flexibility (e.g. model choice, orchestration patterns) Design the platform for multi-tenancy, extensibility, and scale so product teams can adopt AI capabilities without reinventing the foundation Keep the platform ahead of a fast-moving AI landscape: evaluate new models, frameworks, and patterns, and decide what's worth adopting Build production-grade backend services and platform components - this is a coding role, not a pure architect role Develop core capabilities like agent workflows, RAG pipelines, vector search, context management, and safe tool execution Set the bar for engineering quality: testing strategies for non-deterministic AI systems, evals, CI/CD, and code review culture

Negotiation

Senior Software Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam

Outsource

• C/C++
• Python
• AI

Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements. Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability. Explore and apply AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes. Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering. Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines. Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data. Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals. Design and develop utility tools to automate software development, testing, deployment, and monitoring workflows.

Negotiation