RRemoteville

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AI Engineer

Skills
APACAmazon Web ServicesBusinessDefaultsFinancial ServicesHealthcareLarge Language Models
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 3+ years of hands-on AI/ML engineering experience with end-to-end model development and production deployment
  • Demonstrable experience building LLM-powered applications including RAG pipelines agentic workflows or fine-tuned models
  • Strong Python engineering skills with experience in ML frameworks such as PyTorch TensorFlow or scikit-learn
  • Experience deploying models and AI services in cloud or enterprise environments including AWS Azure GCP or on-prem Kubernetes
  • Deep understanding of modern GenAI concepts including prompt engineering RAG fine-tuning RLHF model evaluation guardrails and LLMOps
  • Solid grounding in classical ML and the ability to choose the right tool for the problem
  • Backend development skills including REST APIs containerization Docker Kubernetes and CI/CD pipelines
  • Strong problem-solving instincts and ability to move fast while maintaining engineering quality
  • Clear communication skills for technical and non-technical stakeholders

Nice to have

  • Kaggle experience
  • Customer-facing mindset
  • Regulated industry exposure
  • Enterprise ML platform familiarity

Day to day

  • Design and build agentic AI systems and multi-agent frameworks for complex enterprise workflows
  • Develop and deploy LLM applications using RAG fine-tuning prompt engineering function calling and tool use
  • Own the full AI lifecycle from problem framing and data exploration through deployment integration and production monitoring
  • Work directly with customer stakeholders to translate business problems into scalable AI solutions and credible demonstrations