Resaro

Senior AI Engineer

Resaro

full-time

Posted on:

Location Type: Hybrid

Location: Singapore • Singapore

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Job Level

Senior

Tech Stack

PythonPyTorchTensorflow

About the role

  • Build, deploy, and maintain AI models and model-based features in production — from fine-tuning through serving and monitoring.
  • Design and implement evaluation methodologies, test plans, and quality frameworks for AI systems (LLM, CV, RL).
  • Build agentic AI systems using frameworks like CrewAI, LangGraph, LlamaIndex, and MCP.
  • Create synthetic data generation pipelines, adversarial test cases, and benchmark datasets.
  • Own model serving infrastructure, MLOps pipelines, and deployment automation.
  • Research model behaviour, track global SOTA across domains, and translate findings into product improvements.
  • Package and deploy AI capabilities for customer environments, including edge and air-gapped deployments.
  • Contribute to the technical differentiation that makes Resaro's testing products industry-leading.

Requirements

  • 3–7 years of experience in AI/ML engineering, with production deployment experience.
  • Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, or similar).
  • Demonstrated depth in at least one domain: LLM/NLP, computer vision, reinforcement learning, or synthetic data generation.
  • Experience deploying models to production: model serving, API integration, monitoring, versioning.
  • Understanding of evaluation methodology: experimental design, statistical rigour, benchmark creation.
  • Ability to bridge research and engineering — read papers, prototype approaches, and ship production code.
  • Clear communicator who can explain AI concepts to non-specialist colleagues and customers.
Benefits
  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI modelsmodel-based featuresevaluation methodologiestest plansquality frameworkssynthetic data generationMLOps pipelinesmodel servingAPI integrationstatistical rigour
Soft Skills
clear communicatorability to bridge research and engineering