Lead Forward Deployed Engineer
madisondavisMundelein (IL)
Lead Forward Deployed Engineer
Posted 14 days ago
madisondavisMundelein (IL)
SENIORITY
Lead
About the role
Job Description:
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.
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.
CFA, FRM, or comparable financial-market credentials.
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