Gen AI Developer
Mississauga - Canada
Job Summary
6-10 years of relevant experience in Apps Development or systems analysis roleCore AI/ML Foundations:
Extensive hands-on experience with leading LLMs such as Google Gemini OpenAI models Anthropic Claude Mistral Llama and various other open-source LLMs.
Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines including advanced RAG techniques and their detailed implementation. Proven ability to build tune and deploy LLM-based applications using platforms like Vertex AI Hugging Face etc.
Expertise in developing robust prompt engineering strategies prompt tuning and creating reusable prompt templates.
Hands-on experience with agentic framework-based use case Implementation.
Programming and amp; Data Engineering: Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikit-learn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain and LlamaIndex.
Proficiency in integrating generative AI with enterprise applications using APIs knowledge graphs and orchestration tools.
Hands-on experience with various vector databases (e.g. PG Vector Pinecone Mongo Atlas Neo4j) for efficient data storage and in dealing with large amounts of unstructured data and designing solutions for high-throughput and amp;
MLOps: Critical: Hands-on experience deploying GenAI-based models to production environments.
Strong understanding and practical experience with MLOps principles model evaluation and establishing robust deployment pipelines.
Required Experience:
IC
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.