AI/ML Engineer - Specialist

Job Description

What You’ll Do Design, develop and deploy agent-based AI systems using LLMs Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference. Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks. Collaborate with cross-functional teams to integrate knowledge base into agent frameworks. Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP) Implement version control strategies using Git, manage code repositories and ensure best practices in code management. Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates. Monitor, evaluate, and improve model performance post- deployment on Google Cloud. Communicate technical findings and insights to non-technical stakeholders. Participate in technical discussions and contribute to strategic planning. What Experience You Need Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field. 5+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall. Proven experience in building agent-based applications using Gemini, OpenAI or similar models. Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies. Hands-on experience with LangChain and LangGraph frameworks. Solid background in model training, fine-tuning, evaluation and deployment. Strong coding skills in Python and experience with modern MLOps practices. What Could Set You Apart Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks). Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder. Exposure to Angular framework Show more Show less