BAH Partners
Singapore
New
Python Developer (Quantitative Trading) – HK/SG/Shanghai
- AWS
- Kubernetes
- Python
AI Summary
Join an AI company’s engineering team to resolve urgent technical challenges in reinforcement learning environments, model evaluation, and post-training data. Own deployment requests from triage to resolution, build reusable tools, and collaborate cross-functionally. Requires 2–4 years of hands-on experience in applied research engineering, Python/Docker/Linux proficiency, and debugging expertise in RL benchmarks and AI agent evaluations.
Key Highlights
Own end-to-end deployment requests for AI labs and data vendors
Convert manual processes into reusable tools and pipelines
Collaborate cross-functionally with research, GTM, and internal teams
Key Responsibilities
Own technical deployment requests from triage to resolution
Diagnose and resolve ambiguous technical problems in reinforcement learning environments
Build tools and pipelines for urgent customer/partner needs
Coordinate with research, go-to-market, and internal teams to unblock deployments
Document recurring issues and automate manual processes
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Technical Skills Required
Benefits & Perks
Base salary: $100,000–$170,000 USD annually
Visa sponsorship available
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Nice to Have
Experience in early-stage startup environments
Cross-timezone communication skills
Experience with RL benchmarks and AI agent evaluations
Job Description
About the Role
Join a small engineering team at an AI company focused on reinforcement learning environments, model evaluation, and post-training data. You will tackle urgent, ambiguous technical challenges for AI labs and data vendors, while turning repeated deployment work into reusable tools.
What You'll Do
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