ML Platform Engineer (AI/GenAI)

About this role

Work Type: Full-Time (Remote)


Experience Required: 5 9 Years


Industry: Information Technology / Artificial Intelligence
About The Client

• We are hiring on behalf of our client, a fast-growing global technology and business advisory firm specializing in Generative AI, data science, and digital transformation solutions for enterprise clients, particularly in the life sciences domain.

Job Overview

• We are seeking a Senior GenAI Engineer to design, develop, and deploy scalable Generative AI solutions. The role involves working across LLMs, RAG pipelines, prompt engineering, and MLOps while collaborating with business teams to deliver high-impact AI use cases.

Key Responsibilities

• Design, train, and fine-tune LLMs and GenAI models
• Build RAG pipelines, prompt engineering, and AI agents
• Develop end-to-end GenAI solutions (POC production)
• Translate business needs into AI-driven use cases and architectures
• Build and manage data pipelines for model training and inference
• Deploy solutions using cloud platforms and MLOps practices
• Implement guardrails, safety, and hallucination mitigation
• Monitor performance, cost, latency, and model drift

Must-Have Qualifications

• 5 9 years in AI / ML / Data Science, with GenAI exposure
• Strong experience with LLMs, transformers, embeddings
• Hands-on with RAG, prompt engineering, and AI agents
• Proficiency in Python + GenAI frameworks (LangChain, LlamaIndex, Hugging Face)
• Experience with vector databases and semantic search
• Hands-on with AWS / Azure / GCP
• Experience with Docker, Kubernetes, CI/CD, MLOps