Open Roles
Join our mission to build dynamic AI systems. We're looking for passionate individuals who want to shape the future of artificial intelligence.
Engineering
MLOps / DevOps Engineer (AI Infrastructure & CI/CD Automation)
Singapore (On-site or Remote)
Full-time
All level
Posted 10/23/2025
What You Will Work On
- Design and maintain CI/CD pipelines for model training and deployment using GitHub Actions, GitLab CI, or Jenkins.
- Build reproducible environments with Docker and Docker Compose.
- Implement automated model deployment through Kubernetes, Ray Serve, or TorchServe.
- Develop monitoring and logging systems with Prometheus and Grafana.
- Manage cloud resources (AWS / GCP / Azure) to support large-scale model training and inference.
- Collaborate with the research team to integrate continual learning and model editing modules into the production pipeline.
What We Are Looking For
You might be a fit if you:
- Bachelor's degree or above in Computer Science, Software Engineering, Information Systems or related field.
- Proficient in Python, Shell, and YAML scripting for automation.
- Experienced with Docker, Kubernetes, and CI/CD tools such as GitHub Actions or Jenkins.
- Familiarity with MLflow, Ray, or KServe is a plus.
- Understanding of machine learning model training and deployment workflows.
- Strong awareness of engineering automation, scalability, and system reliability.
Bonus Points:
- Experience deploying LLMs or multimodal models (e.g., vLLM, Ollama, Hugging Face).
- Familiarity with GPU scheduling, model caching, and version control.
- Prior experience in a startup or infrastructure engineering team.
What We Offer
Competitive base salary plus equity incentives.
Support and resources to publish at top international AI conferences (e.g., NeurIPS / ICML / ICLR).
Full support for Singapore Employment Pass (EP) applications, with a strong path toward Permanent Residency (PR).
Opportunities to rapidly test and validate cutting-edge research in real-world business environments.
Product
AI Technical Product Manager
Singapore (On-site or Remote)
Full-time
All level
Posted 10/23/2025
What You Will Work On
- Lead and manage external development teams, decompose tasks, and track progress to ensure high-quality, on-time delivery.
- Plan and design AI application architectures based on the company's technical roadmap, including modules such as RAG, continual learning, and model editing.
- Design and implement backend APIs for integrating LLMs with existing business systems, data sources, and third-party services.
- Coordinate between frontend, backend, algorithm, and data teams (including outsourcing partners) to drive fast iteration and deployment.
- Participate in requirement reviews and product design to translate business goals into executable technical solutions.
- Validate and optimize system performance in real-world business environments to continuously reduce hallucination rates and enhance user experience.
What We Are Looking For
You might be a fit if you:
- Bachelor's degree or above in Computer Science, Software Engineering, Information Systems or related field.
- Strong Python programming skills with the ability to independently analyze and solve problems.
- Hands-on experience in developing or deeply using AI Agents.
- Familiarity with LLM operation and deployment.
- Experience developing backend APIs (e.g., FastAPI or Flask).
Bonus Points:
- Familiarity or practical experience with continual learning, model editing, LLM memory, or RAG technologies.
- Published papers in top AI conferences or journals (ICML, ICLR, NeurIPS, etc.).
- Experience mitigating LLM hallucinations in production environments.
- Participation in chatbot development projects.
- Background in reinforcement learning, especially RLHF.
What We Offer
Competitive base salary plus equity incentives.
Support and resources to publish at top international AI conferences (e.g., NeurIPS / ICML / ICLR).
Full support for Singapore Employment Pass (EP) applications, with a strong path toward Permanent Residency (PR).
Opportunities to rapidly test and validate cutting-edge research in real-world business environments.
Don't see the perfect role?
We're always interested in connecting with talented individuals who are passionate about AI research and innovation.
Email us your resume and tell us how you'd like to contribute with the following materials:
- Your latest résumé/CV.
- Links to Python projects or your GitHub.
- Optional supporting materials: LLM/RAG examples, draft papers, system deployment notes, etc.
🌍 Remote-friendly • 🚀 Equal opportunity employer
Our Hiring Process
📄
1
Application
Submit your resume and cover letter
📞
2
Phone Screen
30-min call with our team
💻
3
Technical Interview
Deep dive into your expertise
🤝
4
Final Interview
Meet the team and leadership