Wealth.com
AI wealth management
SeniorSoftwareEngineer,AppliedAI
“Senior Software Engineer, Applied AI at Wealth.com. Skills: Applied AI, AI agents, Claude Skills, full-stack engineering, Python, TypeScript. 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)”
Industry & Context.
system design; data structures; clean code; turning ambiguous business processes into legible, reusable, and composable systems
What They're Looking For.
Must Have
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, product instincts — you build backwards from user needs and have shipped internal tools that non-technical teammates actually enjoy using
Nice to Have
Experience building end-to-end agentic applications, Experience with RAG systems and vector databases, Experience with Agent frameworks (LangGraph, LangChain, etc.), Experience with Evaluation / observability systems for LLM applications, Experience with Workflow automation platforms (n8n, Zapier, Make, etc.), Experience designing AI-native UX where users collaborate with agents, Experience integrating with CRMs, marketing platforms, or other systems of record, Experience with cloud infrastructure: GCP (Cloud Run) or AWS (ECS, Lambda), Experience in regulated domains (FinTech, LegalTech, etc.)
What You'll Do.
Build Claude Skills and internal AI tooling
Design and implement modular Claude Skills that connect to our core systems (Salesforce
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
finance and operations
and routine decision-making
Design systems that balance autonomy
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
and whatever emerges next
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
Work across the stack
and internal frontend experiences
Ship quickly and iterate based on real usage from internal teammates
How You'll Work.
Team & Collaboration
collaborative, high-performing environment; non-technical teammates compose these primitives into useful workflows without writing code; real usage from internal teammates
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