AI Scientist - LLM & AI Agent

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, Dubai and more.

Introduction

We are looking for highly skilled NLP & LLM Experts to join our AI team and drive innovation in Agentic AI systems , focusing on reasoning, memory management, tool use, and multi-agent orchestration. This role is ideal for individuals who are passionate about building intelligent systems that go beyond traditional LLM applications — leveraging LangGraph , Model Context Protocol (MCP) , Retrieval-Augmented Generation (RAG) , and modular AI agents to power dynamic, context-aware applications.

You’ll help shape the next generation of intelligent automation across domains such as customer support, internal tooling, and knowledge orchestration.

Key Responsibilities

• Design and implement modular AI agents using frameworks such as LangGraph , enabling multi-turn reasoning, tool usage, and context retention.
• Build agentic workflows with Model Context Protocol (MCP) to manage dynamic memory, context injection, and action coordination.
• Develop and fine-tune LLMs (e.g., GPT-4, Qwen, LLaMA, Mistral) for downstream tasks such as multi-agent collaboration, structured generation, and reasoning.
• Integrate Retrieval-Augmented Generation (RAG) architectures with vector databases (e.g., FAISS, Milvus) to support context-aware responses and tool routing.
• Engineer prompts and multi-step reasoning chains for LLMs in agent-based environments.
• Deploy and optimize open-source LLMs using vLLM , Triton , or Ollama , ensuring low-latency inference at scale.
• Translate core NLP capabilities into production-ready agent behaviors, collaborating with engineering and product teams.
• Stay at the forefront of agentic AI research , contributing to internal frameworks and incorporating cutting-edge ideas from open source and academia.
• Present project outcomes and model behaviors to both technical and non-technical stakeholders to guide product strategy.

Basic Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science , Artificial Intelligence , or a related field.
• 5+ years of experience in AI or NLP-focused roles , including production deployment of LLM-driven systems.
• Proficiency in Python and libraries such as Transformers , LangGraph , LangChain , and PyTorch .
• Strong knowledge of prompt engineering , context management , and multi-agent orchestration .
• Hands-on experience deploying and scaling LLMs in production environments.
• Familiarity with retrieval mechanisms , vector search , and memory architectures in agent workflows.

Preferred Qualifications

• Practical experience with LangGraph , Model Context Protocol (MCP) , CrewAI , AutoGen , or other multi-agent frameworks.
• Contributions to open-source projects or research in LLMs , NLP , or agentic reasoning .
• Experience with local model hosting , quantization techniques (e.g., GGML, GPTQ), or distributed inference .
• Proven ability to build internal tools or frameworks that empower non-technical users to orchestrate agents.
• Background in startup or high-growth environments with a focus on rapid iteration and experimentation.

What We Offer

• Competitive salary and equity package.
• The opportunity to build next-generation Agentic AI infrastructure in a fast-moving and highly autonomous environment.
• Close collaboration with researchers and engineers working on the frontier of LLM and multi-agent systems .
• A flat, collaborative, and technically ambitious culture that values ownership, speed, and impact.