Full-time | Singapore | 5 to 10 years | MJ
Posted on
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 optimise open‑source LLMs using vLLM , Triton , or Ollama , ensuring low‑latency inference at scale.
• Translate core NLP capabilities into production‑ready agent behaviours, 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 behaviours 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 , quantisation 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.
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