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Job Description & How to Apply Below
Elevate your career as a Context Engineer, focusing on AI systems for the wealth management sector. You'll design and implement LLM-driven features that provide reliable service for financial advisors and their clients.
In this pivotal role, you will be instrumental in creating context-aware AI functionalities that improve investment strategies and client interactions. Collaborating closely with engineers and product teams, you'll define best practices for context engineering while deploying robust systems that meet the needs of a growing industry. This is a hands-on role perfect for those who enjoy system design and reliability.
Key Responsibilities:
• Design LLM-powered features for core applications
• Create retrieval-augmented generation pipelines
• Develop context management strategies for accuracy
• Implement workflows for multi-step tasks
• Build validation layers for AI outputs
Requirements:
• 5+ years of software engineering experience
• 1–2 years with LLMs in production settings
• Expertise in Python or Node programming
• Knowledge of vector databases
• Comfortable in a collaborative environment
Your engineering expertise can drive the future of AI in wealth management.
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