Job Description
<h2>Shape the Future of Intelligent Systems</h2><p>Apex Horizon Solutions is pioneering the next generation of autonomous agents. We are seeking a visionary Senior Agentic AI Engineer to design, build, and deploy cutting-edge Large Language Model (LLM) applications that redefine human-computer interaction. If you are passionate about the intersection of generative AI, complex reasoning, and scalable software architecture, this is your opportunity to lead the charge in 2026.</p><h2>Why Join Us?</h2><ul><li>Work with state-of-the-art technology including GPT-4, Claude 3, and proprietary model fine-tuning.</li><li>Competitive compensation package with equity options.</li><li>Flexible remote-first culture with premium office amenities in San Francisco.</li><li>Access to top-tier compute resources and research libraries.</li></ul><h2>Your Mission</h2><p>You will be responsible for the end-to-end lifecycle of our AI agents, from conceptualization to production deployment. You will bridge the gap between theoretical AI research and practical, high-performance engineering solutions.</p>
Responsibilities
- <ul><li>Design and architect scalable systems for autonomous agents capable of multi-step reasoning and complex task execution.</li><li>Implement and optimize prompt engineering strategies to enhance model accuracy and reduce hallucinations.</li><li>Collaborate with data scientists to fine-tune and fine-tune Large Language Models on proprietary datasets.</li><li>Ensure the security, privacy, and ethical use of AI models within enterprise environments.</li><li>Debug and troubleshoot complex inference pipelines to ensure low latency and high throughput.</li><li>Mentor junior engineers and contribute to the technical vision of the AI division.</li></ul>
Qualifications
- <ul><li>Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent professional experience).</li><li>5+ years of experience in software engineering, with at least 2 years specifically focused on AI/ML applications.</li><li>Deep understanding of Natural Language Processing (NLP) and Large Language Model architectures (e.g., Transformer, GPT, BERT).</li><li>Proficiency in Python, PyTorch, TensorFlow, and modern frameworks like LangChain or LlamaIndex.</li><li>Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).</li><li>Excellent problem-solving skills and the ability to translate business requirements into technical solutions.</li></ul>