AI Engineer – AI Platform Apps

3 days ago

Hong Kong Island, Hong Kong SAR China Balyasny Asset Management L.P. Full time

Join to apply for the AI Engineer – AI Platform Apps & Knowledge Graphs role at Balyasny Asset Management L.P. Balyasny Asset Management (BAM) is a global, multi‑strategy investment firm with $27 billion in assets under management. Today, BAM employs more than 160 investment teams across 17 global offices. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. POSITION SUMMARY Join an investment team to extend BAM’s private AI platform, building agents, plugins, and knowledge graphs that support research, signal generation, and reporting. This role focuses on applying the platform to real‑world investment tasks, you’ll be supported by BAM’s Technology, Data Science, and AI teams while collaborating with team members for requirements and guidance. ROLE OVERVIEW Independently design, implement, and maintain investment‑focused agents and plugins that run on BAM’s private AI platform to access data sources and deliver actionable insights. Build and maintain data connectors and lightweight data pipelines, including parsing documents (PDFs) and extracting structured data for analysis. Create and expand knowledge graphs that connect agents, datasets, and documents; define ontologies, taxonomies, and mappings; ensure data quality, provenance, and schema evolution; enable semantic search, summarization, and traceable outputs; collaborate with senior team members to align graph design with investment workflows. Implement retrieval‑augmented generation (RAG) workflows suitable for investment use cases. Collaborate with team members to understand requirements and deliver iterative improvements. Demonstrate value through quick‑win projects and end‑to‑end use cases that enhance daily investment workflows. REQUIREMENTS Bachelor’s degree or advanced degrees in Computer Science, Engineering, Mathematics, Data Science, or a related field. 2–4 years in AI/ML engineering or data engineering; proven work building agents/plugins and knowledge graphs. Proficient in Python; familiarity with additional languages is a plus. Solid understanding of LLM concepts, prompt engineering basics; experience with vector stores or retrieval systems is a plus. Hands‑on experience parsing documents and performing lightweight ETL tasks. Familiarity with containers (Docker), Git, and basic CI/CD practices. Strong communication, ability to work with team members and cross‑functional stakeholders. Hong Kong preferred. Nice‑to‑have Experience designing and maintaining knowledge graphs; familiarity with graph databases (e.g., Neo4j, TigerGraph, ArangoDB), ontologies, RDF/OWL. Experience building dashboards or visualizations. Interest in finance‑use cases or lightweight investment workflows. Seniority level Mid‑Senior level Employment type Full‑time Job function Analyst Industries Banking #J-18808-Ljbffr

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