Senior Software Engineer (AI Enablement)

Company: Wealth.com

Location: New York, New York, United States {{REMOTE}}

Salary: $225k - $275k per year

Type: Full-time

Posted: 2026-05-29

About this role

  • We are seeking a Senior Software Engineer, AI Enablement to build the internal AI systems that power how Wealth.com operates
  • This is a builder role. You will design and ship production grade AI agents and modular Claude Skills that connect to our systems of record and our internal data layer — not prototypes or demos
  • You will operate at the intersection of AI, internal product, and full-stack engineering, taking ambiguous business processes and turning them into legible, reusable, and composable systems
  • Your work will directly shape how our sales, marketing, operations, and engineering teams scale with AI as their force multiplier
  • Build Claude Skills and internal AI tooling
  • Design and implement modular Claude Skills that connect to our core systems (Salesforce, Google Drive, Slack, internal data sources)
  • Create clean abstractions that let non-technical teammates compose these primitives into useful workflows without writing code
  • Ship autonomous AI agents
  • Build agents that operate independently across sales, marketing, finance and operations, handling research, data enrichment, proposal generation, and routine decision-making
  • Design systems that balance autonomy, control, and reliability, with clear escalation paths when human judgment is needed
  • Own the AI development environment
  • Establish and maintain the infrastructure that lets the team build with AI tools — Claude Code, Cursor, and whatever emerges next
  • Create templates, patterns, and documentation that accelerate everyone’s ability to ship
  • Design for composability
  • Think deeply about interface design between AI components
  • Build systems where outputs from one tool become inputs to another, and where complex capabilities emerge from simple, well-designed primitives
  • Drive quality and performance
  • Build evaluation and feedback loops
  • Implement guardrails and monitoring
  • Optimize for latency, cost, and accuracy
  • Work across the stack
  • Backend services, APIs, data pipelines, and i...

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