Job Description
We are seeking a Senior Agentic AI Architect to lead the charge in defining the technology stack of 2026. At OmniFuture Systems, we are building autonomous systems that think, reason, and act. You will be at the forefront of integrating next-generation Large Language Models (LLMs) with autonomous agent frameworks.
This is a unique opportunity to shape the digital infrastructure of tomorrow while solving complex, high-impact problems. If you are passionate about the future of artificial intelligence and want to work with the brightest minds in the industry, this is your role.
Responsibilities
- Architect Agentic Workflows: Design and implement scalable architectures for multi-agent systems that can collaborate to solve complex tasks autonomously.
- Lead LLM Integration: Spearhead the integration and fine-tuning of cutting-edge LLMs (e.g., GPT-6, Claude 4) for enterprise-grade applications.
- Optimize Inference Pipelines: Build high-performance inference engines ensuring low latency and high throughput for real-time AI interactions.
- Ethical AI Governance: Establish and enforce best practices for AI safety, bias mitigation, and regulatory compliance.
- Technical Vision: Stay ahead of 2026 tech trends, researching emerging papers and prototyping novel approaches to AI autonomy.
Qualifications
- Experience: 7+ years in software engineering, with 3+ years specifically focused on AI architecture, Machine Learning, and Deep Learning.
- Core Tech: Proficiency in Python, PyTorch, TensorFlow, and modern LLM orchestration frameworks like LangChain and LlamaIndex.
- Cloud Infrastructure: Extensive experience with cloud providers (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Research & Development: Strong background in reading and implementing research from top AI conferences (NeurIPS, ICML, ICLR).
- Communication: Ability to translate complex technical concepts into clear strategic value for non-technical stakeholders.