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.
