We're seeking an AI Engineer to design, develop, and deploy advanced AI/ML systems, including LLM-based applications, within secure enterprise environments. for a Dubai Based Client.
Build and scale production-grade ML/AI systems and LLM-powered applications, including RAG pipelines, agentic workflows, and fine-tuned models.
Own the full ML lifecycle, including data pipelines, model training/fine-tuning, evaluation, deployment, and monitoring.
Optimize model performance, latency, and resource utilization through inference optimization, quantization, caching, and other performance-tuning strategies.
Develop AI solutions using internally hosted/on-premises AI and LLM models, ensuring that sensitive enterprise data and workloads remain within the organization's controlled infrastructure.
Collaborate cross-functionally with product, data, and engineering teams to translate business requirements into scalable AI solutions.
Drive best practices for MLOps, ML CI/CD, model lifecycle management, and responsible AI development.
Contribute to the technical roadmap and help shape the organization's AI strategy and adoption of on-premises AI technologies.

Desired Candidate Profile




Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field (or equivalent practical experience).
3+ years of experience in ML/AI engineering, with at least 2+ years in a senior or lead capacity.
Proven experience building LLM applications, including RAG, agents, function calling/tool use, fine-tuning, and prompt engineering.
Positive experience with vector databases such as Pinecone, Weaviate, FAISS, or equivalent technologies.
Hands-on experience developing and deploying AI solutions using internally hosted/on-premises models, particularly in secure enterprise environments where external or internet-based AI/LLM services are not permitted.
Experience with Docker, Kubernetes, and on-premises AI infrastructure for deploying, scaling, and managing AI workloads is preferred.
Robust software engineering fundamentals, including system design, API development, testing, debugging, and code review.
Excellent communication skills, with the ability to explain technical concepts and trade-offs to both technical and non-technical stakeholders.

📌 Ai Engineer Ai/llm Chennai Based Role (India)
🏢 Hr90 Degrees Consulting Services FZ
📍 India