Embedded AI Engineer for Investment Solutions
Madison-Davis
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Job summary
Madison-Davis, LLC in New York is hiring Forward Deployed Engineers to build AI-powered applications directly with investment and enterprise users. This hands-on role combines Python development, AI, product thinking, and direct stakeholder interaction to translate business problems into production solutions.
You will partner with investment professionals, researchers, and business teams to identify workflows, design production-grade AI applications, and own projects from requirements through
Qualifications
- 5+ years of professional software engineering experience.
- Strong hands-on Python development experience.
- Experience building software directly with business or non-engineering users.
- Experience with AWS services (S3, OpenSearch, DynamoDB).
Responsibilities
- Partner directly with investment professionals, researchers, and business users to identify high-value AI and workflow-automation opportunities.
- Translate ambiguous business problems into technical requirements and working products.
- Design and build production-grade AI applications and agentic workflows.
- Create systems that analyze documents, filings, emails, market information, reference data, and other real-world datasets.
- Develop AI agents, prompts, reusable skills, RAG workflows, and business-specific automations.
- Own projects from requirements and architecture through deployment, UAT, production adoption, and iteration.
- Partner with centralized AI platform teams and convert successful solutions into reusable patterns.
- Maintain strong engineering standards across testing, deployment, code quality, and production support.
Skills
Tools
Job description
Madison-Davis, LLC in New York is hiring Forward Deployed Engineers to build AI-powered applications directly with investment and enterprise users. This hands-on role combines Python development, AI, product thinking, and direct stakeholder interaction to translate business problems into production solutions.
You will partner with investment professionals, researchers, and business teams to identify workflows, design production-grade AI applications, and own projects from requirements through
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