AI Engineer

AI Engineer | Finstock, Inc. Careers Explore Products Company Navigate Finstock Navigate Ctrl K Careers Open opportunities NDX NDX · Nasdaq 100 Index 717.54 +2.12 +0.30% US100 US100 · Provider synthetic instrument 29,821.3 +84.2 +0.28% SPX SPX · S&P 500 Index 7,526.9 -11.8 -0.16% DJI DJI · Dow Jones Industrial Average 50,885.2 +42.1 +0.08% XAU XAU/USD · Gold 4,573.610 +18.72 +0.41% BTC BTC/USD · Bitcoin 77,066 +852 +1.12% EUR EUR/USD · Euro / U.S. dollar 1.16412 +0.0006 +0.05% JPY USD/JPY · U.S. dollar / Japanese yen 158.903 -0.19 -0.12% AAPL AAPL · Apple Inc. 308.82 +0.99 +0.32% MSFT MSFT · Microsoft Corp. 418.57 +1.84 +0.44% TSLA TSLA · Tesla Inc. 426.01 -2.87 -0.67% NVDA NVDA · NVIDIA Corp. 215.33 +2.30 +1.08% NDX NDX · Nasdaq 100 Index 717.54 +2.12 +0.30% US100 US100 · Provider synthetic instrument 29,821.3 +84.2 +0.28% SPX SPX · S&P 500 Index 7,526.9 -11.8 -0.16% DJI DJI · Dow Jones Industrial Average 50,885.2 +42.1 +0.08% XAU XAU/USD · Gold 4,573.610 +18.72 +0.41% BTC BTC/USD · Bitcoin 77,066 +852 +1.12% EUR EUR/USD · Euro / U.S. dollar 1.16412 +0.0006 +0.05% JPY USD/JPY · U.S. dollar / Japanese yen 158.903 -0.19 -0.12% AAPL AAPL · Apple Inc. 308.82 +0.99 +0.32% MSFT MSFT · Microsoft Corp. 418.57 +1.84 +0.44% TSLA TSLA · Tesla Inc. 426.01 -2.87 -0.67% NVDA NVDA · NVIDIA Corp. 215.33 +2.30 +1.08% Back to careers On-site Full-time AI Engineering Central, Hong Kong LLM / RAG Vector Databases Model Evaluation Agentic Workflows Finstock Careers AI Engineer Design, build, evaluate, and improve AI-powered product features, retrieval systems, agentic workflows, model evaluation pipelines, and responsible AI infrastructure for Finstock's financial research and market intelligence platform. Central, Hong Kong Full-time on-site HKD $300,000-$450,000/year AI engineering workspace AI system focus LLM / RAG, vector search, agentic workflows, model evaluation Location Central, Hong Kong Type Full-time on-site Compensation HKD $300,000-$450,000 annual base salary Reporting line Engineering Lead Tools GitHub, cloud platforms, vector databases, model evaluation tools, AI development tools, Microsoft 365 Retrieval systems Agentic workflows Evaluation harnesses Guardrails Responsible AI About Finstock, Inc. Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, and market intelligence tools for experienced market users, analysts, research teams, and institutions. Our AI systems support financial research workflows, market intelligence, retrieval, summarization, structured reasoning, user-scoped workspace features, analytics support, and responsible research-oriented decision-support experiences. About the Role We are hiring an AI Engineer to join Finstock's team on-site in Central, Hong Kong. In this role, you will design, build, evaluate, and improve AI-powered product features for Finstock's financial research and market intelligence platform. You will work on retrieval-augmented generation, agentic workflows, prompt and tool orchestration, financial document understanding, model evaluation, search systems, and user-facing AI experiences. You will collaborate closely with AI, engineering, data, product, quantitative research, and analyst teams to build reliable AI systems that are useful, secure, measurable, and aligned with responsible financial research standards. This is an on-site role based in Central, Hong Kong. The role requires regular in-office collaboration with the team. Key Responsibilities Design, build, test, and deploy AI-powered features for Finstock's financial research and market intelligence platform. Build retrieval-augmented generation systems, search workflows, financial document understanding features, agentic research flows, and AI-assisted analysis tools. Integrate large language models, embedding models, vector databases, search systems, APIs, and internal datasets into product workflows. Develop prompt orchestration, tool-calling workflows, structured output pipelines, evaluation harnesses, and model behavior tests. Build AI systems that can work with financial statements, market data, company disclosures, research notes, charts, transcripts, news, macro data, and user-scoped workspace context. Improve model reliability, grounding, latency, cost efficiency, observability, and production stability. Design safeguards to reduce hallucinations, unsupported claims, misleading outputs, poor r