Senior Software Engineer, Wealth.com

• Degree in Computer Science, Engineering, or equivalent practical experience
• Strong software engineering fundamentals (system design, data structures, clean code)
• Proven track record of building and shipping production AI systems
• Proficiency in Python and TypeScript, and comfort working across a polyglot stack, picking up new languages and frameworks as needed
• Hands-on experience building AI agents that run in production — systems that operate autonomously, handle edge cases, and know when to escalate
• Practical, working knowledge of prompt engineering, context management, and structured outputs
• Extensive experience coding with AI tools like Claude Code or Cursor and modern LLM APIs
• Strong product instincts — you build backwards from user needs and have shipped internal tools that non-technical teammates actually enjoy using

Desirable

• 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 internal frontend experiences
• Ship quickly and iterate based on real usage from internal teammates