AI Engineer

1 week ago


Singapore Augmentus Robotics Full time

Responsibilities Model development: Train, fine‐tune, evaluate, and ship machine‐learning models for robotics tasks. (e.g. segmentation, edge detection, pose/feature estimation). LLM workflows & agents: Design tool‐using LLM agents (planning, code‐gen, retrieval, function/tool calling) and orchestrate end‐to‐end automations using tools like n8n or similar platforms. RAG & knowledge: Build vector databases, chunking/embedding strategies, guardrails, and evaluation strategies. Systems integration: Expose AI services via robust APIs/SDKs and integrate with our application. MLOps: Implement and maintain training/evaluation pipelines, model versioning, and deployment workflows to production environments. Requirements Minimum 3 years of hands‐on experience in AI/ML engineering. Strong ML/DL fundamentals with hands‐on experience in PyTorch (or TensorFlow/JAX), and solid Python engineering practices. Proven experience with LLMs : prompt design, function/tool calling, finetuning/LoRA, RAG; familiarity with stacks like OpenAI , Anthropic , or Llama . MLOps knowledge — tools like MLflow , Weights & Biases , model registries, artifact/version management, and automated evaluations. Practical experience with workflow orchestration using n8n (or equivalent) to wire LLMs, APIs, webhooks, schedulers, and human‐in‐the‐loop steps. Proficiency with Git and Git Flow. Familiarity with agile software development (Scrum, Jira). Good understanding of APIs and backend integration. #J-18808-Ljbffr


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