Simple Tech Investment

402 Nguyen Thi Minh Khai, TP Hồ Chí Minh

Company Size : 25-99

Job Summary

Architect and implement core platform services (microservices/APIs) for GenAI applications using Python.
Build and operate enterprise information retrieval systems leveraging RAG architecture, Vector Search, and Embeddings.
Integrate, fine-tune, and manage integration flows with major LLM provider APIs (OpenAI, Claude, etc.).
Optimize prompt engineering and establish testing/evaluation workflows for AI output quality.
Design data pipelines to power intelligent recommendations, advanced search, and workflow automation.
Tweak and optimize backend performance, ensuring scalability, low latency, and high availability.
Work closely with the Product team to translate business requirements into feasible technical solutions.

100% salary on your probation period.
15 full-paid days off per year.
13th-month bonus salary.
Room to grow with support from the team and sponsorship for L&D.
Performance review 2 times/year.
Competitive packages.
Room to grow professionally, sponsorship for learning & development of related skills.
Opportunity to work on a mission that can transform the lives of millions of Vietnamese.
Annual Performance Bonuses (up to 2 salary months per year).
Parking fee & Lunch allowance.
Annual Health Checkup, Premium Health Care (Manager level), Accident Insurance for all members.
Enjoy a variety of corporate events, from sports competitions, monthly birthday parties, and team building to Year-End Party, etc.
Flat, open, and fast-paced environment where every idea is welcomed.

Strong proficiency in asynchronous programming, API performance optimization, and relational database queries (PostgreSQL).
Solid mindset in system architecture: Caching, Message Queues, Asynchronous Tasks, and High-Availability system design.
Hands-on production experience in deploying LLM-powered applications.
Deep understanding of Prompt Engineering, model evaluation methodologies (LLM Evaluation), and Embeddings.
Excellent command of English across all 4 skills: Reading technical API/AI documentation, discussing technical solutions, and working directly with the team.
Familiarity with or experience building systems with Go (Golang) (goroutines, channels, backend services) to optimize or transition ultra-high-performance modules is a big plus.
DevOps & Infrastructure: Practical experience with Containerization & Orchestration (Docker, Kubernetes) and CI/CD pipelines.
Additional Expertise: Knowledge of Machine Learning algorithms, Recommendation Systems, or Large-scale Natural Language Processing (NLP).
Partner with Product Managers and Engineering teams to analyze business requirements, propose solutions, and turn them into optimized technical execution.
Proactively research and stay up-to-date with the latest AI/LLM technologies to continuously enhance company products.