AI Engineer Lead
AI summary of the role
Lead hands-on AI engineer partnering with investment professionals to design, build, and operate production-grade generative AI applications (copilots, assistants, RAG pipelines, agentic workflows) at a large, regulated asset manager.
What you’ll do
- Partner directly with business partners to translate ambiguous needs into clear technical specifications
- Design, build, and operate production generative AI applications — copilots, assistants, knowledge-search, agentic workflows
- Architect and implement end-to-end RAG pipelines including parsing, chunking, embeddings, retrieval, and prompt management
- Take end-to-end ownership from discovery through build, rollout, and operational excellence with observability and cost tracking
What you’ll bring
- 10+ years professional software engineering experience with strong Python proficiency
- Hands-on production experience building and shipping LLM-powered applications (prompt engineering, retrieval, agent development, evaluation)
- Demonstrated experience designing and building end-to-end RAG pipelines integrating LLM solutions with real systems
- Strong understanding of system design, APIs, distributed systems, and cloud-native development
Technologies
Python · LLM · RAG · prompt engineering · agent development · vector storage · embeddings · MLOps · LLMOps · IAM · SOC 2
About Capital Group
Employee-owned active asset manager serving individuals, advisors and institutions through American Funds, ETFs, SMAs, CITs, retirement and public-private solutions.
Bootstrapped · 5000+ people
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