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...