Senior AI/ML Engineer – Generative AI (LLM, RAG, MLOps)
Role summary
Seeking an experienced Senior Generative AI Engineer to build and deploy enterprise-grade LLM applications, with a strong focus on RAG, prompt engineering, and production AI systems. The role requires hands-on expertise in LLMs (OpenAI, Gemini, Claude, Llama), frameworks like LangChain/LlamaIndex, and vector databases (Pinecone, PGVector, MongoDB, Neo4j). Proficiency in Python, FastAPI, PyTorch/TensorFlow, MLOps, CI/CD, and cloud platforms (AWS, GCP, Azure, Kubernetes) is essential. The ideal candidate will have 8-10 years of AI/ML or Software Engineering experience, with proven success in production-grade GenAI solutions and the ability to design scalable, enterprise AI systems.
Hiring: Senior Generative AI Engineer (LLM / RAG / MLOps)
Mississauga, Canada (Hybrid)
Role Overview:
Looking for experienced GenAI Engineers to build and deploy enterprise-grade LLM applications with strong expertise in RAG, prompt engineering, and production AI systems.
Key Skills:
Hands-on with LLMs (OpenAI, Gemini, Claude, Llama, etc.)
Strong in RAG pipelines & prompt engineering
Experience with LangChain / LlamaIndex
Python, FastAPI, PyTorch/TensorFlow
Vector DBs (Pinecone, PGVector, MongoDB, Neo4j)
MLOps, CI/CD, model deployment
Cloud: AWS / GCP / Azure, Kubernetes
Experience:
8–10 years in AI/ML / Software Engineering
Proven experience in production-grade GenAI solutions (must-have)
What We Need:
Strong hands-on expertise (not theoretical)
Ability to design scalable, enterprise AI systems