AI Agent Architect — Multi-Agent LLM Systems & RAG Lead

Hammerjack Pty Ltd

Philippines

On-site

PHP 900,000 - 2,000,000

Full time

2 days ago
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Job summary

Hammerjack Pty Ltd is seeking an experienced AI Engineer to build core Agent logic, including task planning, orchestration, and tool calling for production systems. You will lead data preparation for training, design memory architectures, and advance multimodal RAG pipelines to support robust, immersive user interactions.

The role requires hands-on Python development, 2+ years in multi-agent LLM projects, and collaboration across teams to drive research-to-deployment cycles.

Qualifications

  • Master's degree or above in Artificial Intelligence, Computer Science, Mathematics, or related field.
  • At least 2 years of full-time industry experience building and deploying production multi-agent LLM systems.
  • Hands-on experience fine-tuning LLMs via SFT and DPO, with RAG/retrieval systems.
  • Proficient in Python and capable of end-to-end development.
  • Strong problem solving, curiosity in frontier AI, and collaboration across teams.
  • Experience with agent frameworks such as LangGraph, Google ADK, OWL, or AutoGen.

Responsibilities

  • Build core Agent logic: planning, orchestration, tool calls, memory, and multi-agent collaboration.
  • Lead pre- and post-training for vertical domains, data pipelines, and RL reward models.
  • Design memory architectures for long contexts and immersion in interactions.
  • Develop multimodal RAG systems: recall, ranking, long-text processing, multi-document synthesis.
  • Develop Agent's tool layer: external APIs, code interpreters, browsers, sandboxes, third-party services.
  • Design prompts and context management tailored to product needs.
  • Create evaluation plans and monitor metrics for ongoing optimization.
  • Explore innovative AI applications.

Skills

Python
LLM systems
Problem solving
Team collaboration
Research to deployment

Education

Master's degree or higher in AI/CS/Math

Tools

LangGraph
Google Agent Development Kit
OWL
AutoGen

Job description

Hammerjack Pty Ltd is seeking an experienced AI Engineer to build core Agent logic, including task planning, orchestration, and tool calling for production systems. You will lead data preparation for training, design memory architectures, and advance multimodal RAG pipelines to support robust, immersive user interactions.

The role requires hands-on Python development, 2+ years in multi-agent LLM projects, and collaboration across teams to drive research-to-deployment cycles.

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