AI Automation Engineer

7 days ago

Mandaluyong City, National Capital Region, Philippines Lennor Group Full time
The Role

We're seeking a highly skilled AI Automation Engineer to design, build, and optimize intelligent agents and automation systems for a wide range of business applications. This role requires expertise in multi-model orchestration, advanced Retrieval-Augmented Generation (RAG) strategies, model fine-tuning, and system-level performance optimization. You'll be responsible for building scalable, high performing AI workflows, leveraging tools like Langsmith and n8n to deliver measurable impact for our clients.

Your Responsibilities
  • AI Agent Development
    • Design and implement multi-step, multi-model AI agents with complex task flows (e.g., ToDo-list based execution).
    • Integrate reasoning and planning strategies for dynamic task handling.
    • Build expansive RAG systems optimized for agentic use cases.
  • RAG Optimization & Chunking Strategies
    • Develop and test advanced chunking and retrieval methods tailored to agentic workflows.
    • Implement and optimize Agentic RAG strategies for higher accuracy and efficiency.
  • Automation & Orchestration
    • Create automation workflows in n8n integrating AI models, APIs, and business processes.
    • Use LangSmith for observability, debugging, and optimization of AI-powered systems.
  • Model Fine-Tuning & Optimization
    • Apply fine-tuning methods (including PEFT) across different models for targeted performance improvements.
    • Guide and manage the collection, curation, and optimization of training datasets.
    • Implement supervised fine-tuning for specific input-output requirements.
  • Evaluation & Performance Measurement
    • Develop and deploy EVAL frameworks to measure model accuracy, reliability, and user satisfaction
  • Continuously optimize prompts
What We\'re Looking For
  • Must have proven experience with LangSmith and n8n
  • Strong background in Prompt Engineering across multiple AI models
  • Hands-on experience with RAG architectures and chunking optimization
  • Solid understanding of Agentic RAG and multi-step reasoning approaches
  • Expertise in model fine-tuning (PEFT, LoRA, and other strategies)
  • Experience implementing EVAL and performance measurement systems for AI agents
  • Strong problem-solving skills and ability to optimize workflows for efficiency and accuracy.
  • Familiarity with multi-model orchestration and best practices in AI system design.
  • Knowledge of cutting-edge agent frameworks and orchestration tools.
  • Experience with autonomous agents in enterprise environments.
  • Understanding of reinforcement learning for model improvement.
Why Join this Opportunity

You'll be working with a company at the forefront of AI automation, where they designing and deploying next-generation intelligent agents that solve real-world problems for clients. If you thrive on pushing AI systems to their limits and love turning complex ideas into high-impact solutions, this role is for you.

Ready to take the next step in your career? Submit your application now

We kindly request your patience as we receive a significant number of applications. Rest assured that our team will update your application\'s status soon. In the meantime, we encourage you to follow our LinkedIn page to stay informed about future opportunities and company updates.


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