Job Description
We are defining the future of intelligent systems. Apex Horizon Labs is seeking a visionary Senior Generative AI Architect to lead the development of next-generation autonomous agents and multimodal systems for the 2026 era.
In this pivotal role, you will not just implement existing models; you will architect the infrastructure that powers the intelligent applications of tomorrow. You will work closely with product leaders to bridge the gap between cutting-edge theoretical research and scalable, production-ready deployment.
Why this role matters: As we approach the 2026 AI revolution, the demand for efficient, context-aware, and safe AI systems is exploding. You will be at the forefront of building the tools that will define the next decade of human-computer interaction.
Responsibilities
- Architect and deploy scalable LLM pipelines with a focus on 2026-era latency and efficiency standards.
- Design and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance context accuracy and reduce hallucinations.
- Lead the fine-tuning, alignment, and optimization of open-source foundation models for specific enterprise domains.
- Establish best practices for prompt engineering, automated evaluation metrics, and ethical AI safety guardrails.
- Collaborate with cross-functional teams (Product, Engineering, Design) to integrate AI agents into complex software ecosystems.
- Conduct research into emerging architectural patterns such as Multi-Agent Systems and State-of-the-Art (SOTA) transformers.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in software engineering with a deep specialization in Natural Language Processing (NLP).
- Expert-level proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proven track record of working with Transformer architectures and Large Language Models (LLMs).
- Experience with MLOps tools such as MLflow, Weights & Biases, and containerization via Docker/Kubernetes.
- Strong understanding of distributed systems and high-availability deployment architectures.