AI Engineer

📋 Description

• Build multi-agent workflows to optimize business processes within insurance.
• Develop and maintain software pipelines for data processing, model training, and deployment using
• Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements
• Ensure AI models adhere to banking regulations, data privacy standards (e.g., GDPR, CCPA), and
• Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.

🎯 Requirements

• 3–12 years of professional experience in AI/ML engineering, with a focus on software development
• Build and integrate components for LLM, RAG, search, agent-based and automation solutions.
• Strong software engineering experience with Python, Java, React Next, Node.js.
• Hands-on experience training and fine-tuning neural network models, with a track record of
• Proven expertise working with LLMs (e.g., GPT, BERT) and building agentic solutions using
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data