About this role
The engineer will be responsible for shipping production AI models that meet latency and reliability expectations, integrating AI into real, data-heavy workflows without degrading performance, and building tools to genuinely speed up research and development for engineers and researchers.
Candidates must possess strong Python fundamentals and clear thinking regarding system design and performance trade-offs, along with 1 to 5 years of experience deploying AI systems in production environments. Familiarity with transformers, embeddings, or LLM deployment is also expected.
What they're looking for
PythonSystem DesignPerformance Trade-offsAI System DeploymentTransformersEmbeddingsLLM DeploymentC++
Frequently asked questions
What does a Founding AI Engineer – Production Systems at NK Securities Research do?
The engineer will be responsible for shipping production AI models that meet latency and reliability expectations, integrating AI into real, data-heavy workflows without degrading performance, and building tools to genuinely speed up research and development for engineers and researchers. Candidates…
What skills does this Founding AI Engineer – Production Systems role need?
Key skills for this role include Python, System Design, Performance Trade-offs, AI System Deployment, Transformers, Embeddings.
How much does a Founding AI Engineer – Production Systems at NK Securities Research pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Founding AI Engineer – Production Systems role remote, hybrid, or on-site?
This role is on-site, based in Gurugram.
How do I apply for this Founding AI Engineer – Production Systems role?
You can apply directly on NK Securities Research's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.