AI/ML Engineer - Specialist

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.
• 7+ 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, ADK.
• Exposure to Angular framework