Lead Forward Deployed Engineer
Madison-Davis, LLC
A global financial services organization is seeking a senior, hands-on Lead Forward Deployed Engineer to develop AI-enabled applications supporting brokerage, trading, and investment workflows.
Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.
The position combines Python software engineering, agentic AI development, and direct product and business collaboration. This individual will work closely with financial-market stakeholders to identify opportunities, quickly develop working prototypes, and deliver secure, scalable AI applications.
The successful candidate will bring strong engineering fundamentals, hands-on LLM development, and an understanding of financial markets.
Responsibilities
- Design and implement LLM-enabled applications and intelligent agents.
- Develop production-quality Python applications, integrations, and APIs.
- Partner directly with trading, investment, and product stakeholders to identify valuable AI use cases.
- Rapidly prototype solutions, gather feedback, and improve application functionality.
- Build agentic workflows that support business activities and appropriate approval processes.
- Collaborate with infrastructure and engineering teams to deploy reliable production applications.
- Incorporate security, compliance, governance, and auditability into AI solutions.
- Contribute to technical decisions and ongoing adoption of AI capabilities.
Role Requirements
- 10+ years of combined relevant investment, quantitative, software, or AI engineering experience.
- Strong hands-on Python engineering.
- Experience delivering LLM-enabled applications and AI agents.
- RAG, embeddings, agentic workflows, prompt engineering, and API integration.
- Direct experience working with trading desks, portfolio managers, or investment researchers.
- Knowledge of brokerage, trading, or investment workflows.
- Fluency in at least one financial asset class.
- Cloud infrastructure and modern engineering practices.
- Experience delivering secure technology within regulated environments.
- Excellent stakeholder communication and ability to translate business needs into software.
Nice to Have
- Claude / Anthropic and GCP experience.
- LangChain, LangGraph, LlamaIndex, MCP, and vector databases.
- Desk strategy or quantitative technology background.
- Experience with internal AI assistants or document intelligence. xhyhwjd
- CFA, FRM, or comparable financial-market credentials.
Vacancy posted 2 days ago
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