LLM Engineer

Remote, USA Full-time
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. Apply tot his job
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