LLM Engineer

Vyro; Batu Pahat; On-site; MYR 80,000 - 110,000; Full time

Job summary

A leading innovative AI company is seeking an LLM Engineer to design and develop advanced machine learning models. You will collaborate closely with cross-functional teams in a vibrant setting, working on products such as Chatly and ImagineArt, while implementing data-driven algorithms to enhance performance and reliability. Ideal candidates should have over 4 years of experience in Machine Learning and hold a Bachelor's in Computer Science. This is a full-time, on-site position located in Malaysia with competitive salary and benefits.

Benefits

Competitive salary and benefits

Growth-driven culture encouraging learning

Opportunity to work on innovative products

Qualifications

• 4+ years of industry experience in Machine Learning or NLP.
• Deep experience leveraging closed-source SOTA models.
• Expertise with vector stores and semantic caching.

Responsibilities

• Design and develop machine learning models.
• Collaborate closely with cross-functional teams.
• Implement data-driven algorithms for product integration.

Skills

Machine Learning

Natural Language Processing (NLP)

Multi-agent orchestration

Education

Bachelor’s degree in Computer Science

Tools

OpenAI models

Transformer architectures

TensorRT-LLM

Job description

Company Description

Vyro is at the forefront of innovation, transforming content creation through advanced AI and Machine Learning technologies. As a rapidly growing Gen‑AI and SaaS‑focused company, we empower creativity across industries with state‑of‑the‑art tools. Our flagship products include ImagineArt, an AI‑powered design studio that turns text into stunning visuals, and Chatly, an intelligent multi‑modal assistant leveraging frontier AI models for seamless task management and idea generation. With 15+ products, over 2.5 billion images processed, and 800,000+ daily active users, Vyro is actively shaping the future of creative tools. Join our passionate team of Vyronauts to make an impact and innovate with us!

Role Description

This is a full‑time, on‑site role for an LLM Engineer based in Islamabad. The role involves designing, developing, and fine‑tuning LLMs, building agentic AI workloads, implementing data‑driven algorithms, and deploying scalable solutions. You will collaborate closely with cross‑functional teams to integrate cutting‑edge machine learning capabilities into Vyro’s products, while exploring new methods to enhance performance, reliability, and efficiency.

Qualifications

Experience & Education

• 4+ years of industry experience in Machine Learning or NLP
• Bachelor’s degree in Computer Science (BSCS) or a related field

Frontier Model Orchestration

• Deep experience leveraging closed‑source SOTA models from OpenAI, Anthropic, Google, and xAI
• Strong understanding of complex reasoning, tool‑use, and multi‑step AI pipelines

Advanced Architectures

• Expert grasp of transformer variants and Mixture‑of‑Experts (MoE) architectures
• Proven hands‑on experience with open‑weight SOTA models such as Llama 3.x, Mistral Large, Qwen 2.5, Phi‑4, etc

Agentic Frameworks

• Mastery of multi‑agent orchestration using frameworks like LangGraph (stateful agents), AutoGen, or CrewAI
• Experience implementing DSPy for declarative, self‑optimizing prompt pipelines

Production RAG & Memory Systems

• Implementation experience with GraphRAG and hybrid retrieval strategies
• Expertise with vector stores (Qdrant, Milvus, Weaviate) and semantic caching for long‑term agent memory

Inference Optimization

• Experience deploying high‑throughput models using vLLM, TensorRT‑LLM, or SGLang
• Familiarity with FlashAttention‑2, KV caching, and quantization techniques (AWQ, EXL2)

Why Join Us?

• Work on innovative AI products like Chatly and ImagineArt that are shaping the future of user interaction and creativity
• Collaborate with a passionate, talented team that values experimentation, innovation, and data‑driven decision‑making
• Competitive salary and benefits package
• A growth‑driven culture that encourages learning, ownership, and continuous improvement

Note

This is an onsite position at our office in H12, Islamabad, for residents of Pakistan. Candidates residing outside of Pakistan may be considered for remote work opportunities.