We are seeking a experienced AI/ML Engineer with 1-3 years of experience to lead the design and development of enterprise-scale AI platforms, including agentic AI systems and generative AI solutions.

This role requires deep expertise in LLM architecture, AI product development, and advanced analytics, combined with solid engineering foundations in cloud, MLOps, and distributed systems. You will drive end-to-end AI strategy from research and prototyping to production deployment while ensuring responsible and governed AI adoption.

Key Responsibilities

AI GenAI Architecture
- Design and implement scalable AI platforms supporting agentic AI systems and autonomous workflows
- Architect and optimize LLM-based systems, including fine-tuning, inference, and orchestration
- Build advanced RAG (Retrieval-Augmented Generation) pipelines and multi-agent systems
- Develop multimodal AI systems (text, image, audio) for enterprise use cases
- Lead AI product development from concept to production deployment

Machine Learning Advanced Analytics




- Develop and deploy predictive models and advanced analytics solutions
- Design scalable ML systems for real-time and batch processing
- Implement optimization techniques such as PEFT, LoRA, QLoRA, and mixed precision training
- Apply reinforcement learning approaches including RLHF (Reinforcement Learning with Human Feedback)
- Ensure robustness using frameworks like RAG Triad (retrieval, augmentation, generation evaluation)

Architecture Engineering
- Design systems using microservices and hexagonal architecture patterns
- Build and maintain scalable data pipelines and API integrations
- Ensure seamless integration between AI services and enterprise platforms
- Lead system design reviews and ensure high availability, scalability, and security

MLOps Platform Engineering
- Implement end-to-end MLOps pipelines, including CI/CD for ML systems
- Deploy and manage models using Kubernetes and Docker
- Establish model monitoring, drift detec

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🏢 Grant Thornton
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