Job Description
We are pioneering the next generation of Autonomous AI Systems for 2026 and beyond. OmniFuture Systems is seeking a visionary Senior AI Engineer to architect the future of intelligent agents. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Agentic workflows, and ethical AI implementation, this is your opportunity to lead the charge.
As a key member of our Future Tech division, you will bridge the gap between theoretical research and production-grade deployment, defining the roadmap for the next era of human-machine collaboration.
Responsibilities
- Architect Agentic Workflows: Design and implement complex autonomous AI agents capable of multi-step reasoning, tool use, and self-correction in dynamic environments.
- Model Optimization: Fine-tune and optimize state-of-the-art foundation models to achieve peak performance, speed, and accuracy for enterprise applications.
- Research & Development: Stay ahead of the curve in emerging AI paradigms (e.g., Multimodal AI, ReAct prompting) and evaluate their feasibility for our 2026 product suite.
- System Integration: Integrate AI capabilities into our cloud-native infrastructure, ensuring scalability, security, and low latency.
- Cross-Functional Leadership: Collaborate with product managers, designers, and engineers to translate technical requirements into seamless user experiences.
- Roadmap Strategy: Contribute to the technical vision and long-term strategy for our AI evolution, conducting rigorous cost-benefit analyses of new technologies.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
- Technical Mastery: Deep expertise in Python, PyTorch, or TensorFlow with a proven track record of building production ML models.
- Experience: 5+ years of experience in AI/ML engineering, with specific focus on NLP, LLMs, or Reinforcement Learning.
- Tool Proficiency: Strong command of vector databases (Pinecone, Milvus), RAG frameworks, and cloud platforms (AWS/GCP/Azure).
- Problem Solving: Exceptional ability to debug complex distributed systems and optimize algorithmic efficiency.
- Communication: Excellent verbal and written communication skills; capable of explaining complex AI concepts to non-technical stakeholders.