Context Engineer

CapIntel is seeking a Context Engineer to design and implement LLM-powered features for their wealth management platform. You will build RAG pipelines, agentic workflows, and guardrail systems to ensure reliable AI integration. This production-focused role involves working with cross-functional teams to scale AI capabilities.

• Design and implement LLM-powered features via model APIs (e.g. Anthropic, OpenAI, Cohere)
• Architect and maintain retrieval-augmented generation (RAG) pipelines with vector databases
• Manage context window strategy to optimize accuracy, cost, and latency
• Design and implement agentic workflows for multi-step autonomous tasks
• Build guardrail and output validation layers to constrain model behavior
• Develop reusable agent primitives, prompt templates, and workflow components
• Create evaluation frameworks for context effectiveness and output quality
• Monitor deployed AI systems and implement mitigation strategies
• Collaborate with product, engineering, and data teams to translate requirements into production systems
• Upskill the engineering team on context engineering principles and best practices

• 5+ years of professional software engineering experience
• 1–2 years working with LLMs in a production context