Job Description
Join the Architects of the AI Revolution
We are seeking a visionary Senior AI Engineer to lead the development of next-generation Generative AI models. At Apex Intelligence Systems, we are not just preparing for the future; we are defining it. You will be at the forefront of the 2026 AI roadmap, building scalable, safe, and impactful Large Language Models (LLMs) and multimodal systems that will redefine human-computer interaction.
Why Join Us?
- Impact: Work on high-visibility projects that shape the future of enterprise automation.
- Innovation: Access to cutting-edge compute and the latest open-source frameworks.
- Culture: A diverse, elite team of researchers and engineers committed to ethical AI.
We are looking for a technical leader who thrives in ambiguity and has a passion for pushing the boundaries of machine learning capabilities.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art Large Language Models and diffusion models tailored for specific enterprise use cases.
- RAG Architecture: Architect and optimize Retrieval-Augmented Generation pipelines to ensure accuracy and reduce hallucinations.
- System Optimization: Implement inference optimization techniques (quantization, pruning, caching) to deploy models on edge devices and scalable cloud infrastructure.
- Research & Experimentation: Conduct rigorous A/B testing and research to evaluate new architectures and methodologies emerging in the AI landscape of 2026.
- Code Review & Mentorship: Lead code reviews, establish best practices, and mentor junior engineers and data scientists.
- Ethical AI: Implement guardrails and safety protocols to ensure AI outputs are unbiased, secure, and compliant with industry regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Technical Skills: Deep expertise in Python, PyTorch, or TensorFlow. Strong understanding of Transformer architectures and attention mechanisms.
- Experience: 5+ years of experience in building production-grade machine learning systems.
- LLM Proficiency: Proven experience working with Hugging Face, LangChain, or LlamaIndex.
- Deployment: Experience deploying ML models via Docker, Kubernetes, and cloud services (AWS/GCP/Azure).
- Communication: Ability to translate complex technical concepts into clear, strategic roadmaps for stakeholders.