Sr AI Platform Engineer – Retrieval & Knowledge Systems (AI)

Location: Fort Mill/Charlotte, United States

Salary: $115,154–$191,889 per year

Company

hirify.global is a U.S. wealth management firm providing financial advisors and institutions with investment solutions, fintech tools, affiliation models, and practice management services.

What you will do

• Design and build high-scale retrieval systems combining keyword, semantic, and vector search.
• Develop RAG infrastructure covering indexing, retrieval, ranking, context assembly, and relevance tuning.
• Build streaming and batch data pipelines for ingestion, transformation, enrichment, embeddings, metadata extraction, and real-time indexing.
• Create low-latency, highly available APIs, SDKs, and reusable platform services for applications and AI agents.
• Integrate LLMs with retrieval systems and build context construction, prompt augmentation, response orchestration, and evaluation frameworks.
• Lead architecture for scalable AI platform components, mentor engineers, and promote CI/CD, infrastructure-as-code, and automated testing.

Requirements

• At least 8 years of backend or platform engineering experience.
• Experience building distributed systems, search platforms, or large-scale data services.
• Hands-on experience with APIs, microservices, and cloud-native architectures.
• Experience with search systems, indexing, or retrieval pipelines.
• Programming experience in Java, Python, or Go.

Nice to have

• Experience with cloud platforms and Kubernetes.
• Experience with Elasticsearch, OpenSearch, vector databases, or hybrid retrieval architectures.
• Familiarity with RAG systems, embeddings, LLM integration, AI platforms, copilots, or agent-based systems.
• Experience with Kafka, streaming pipelines, and real-time data systems.
• Strong understanding of performance optimization in distributed systems.

Culture & Benefits

• Collaborative, team-oriented environment focused on client outcomes and continuous improvement.
• 401(k) matching, health benefits, employee stock options, and paid time off.
• Volunteer time off and additional total rewards benefits.
• Work focused on financial technology and services for advisors and institutions.

Hiring process

• Apply through the LPL hiring platform.
• Candidate communications are conducted directly through an @lplfinancial.com email address.
• Interviews are not conducted through online chatroom forums, and applicants are not asked for payments or bank and credit card information.