Senior Software Engineer, Applied AI

Wealth Inc

$130K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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, with adaptability to new languages
  • Hands-on experience building production AI agents
  • Practical knowledge of prompt engineering and context management
  • Extensive experience with AI tools like Claude Code and Cursor

Responsibilities

  • Design and implement modular Claude Skills connecting to core systems
  • Create abstractions enabling non-technical teammates to use workflows
  • Build autonomous AI agents handling research and decision-making
  • Design systems ensuring autonomy and reliability with human escalation paths
  • Maintain the AI development environment with emerging tools
  • Create templates and documentation to accelerate team workflows
  • Optimize AI systems for performance and quality

Benefits

  • Hybrid work arrangement in New York (4 days in office)
  • Excellent medical, dental, and vision insurance
  • 100% company-paid life and disability insurance
  • Paid parental leave
  • Company equity managed through Carta
  • 401k with match and immediate vesting
  • Flexible PTO in a supportive environment
  • Paid time off for holidays, including birthday celebrations
Full Job Description
Title: Senior Software Engineer, Applied AI

Location: Hybrid - New York, NY

The Role

We are seeking a Senior Software Engineer, Applied AI 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.

What You Will Do

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


Qualifications
  • 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


Preferred Qualifications (Bonus Points)
  • Experience building end-to-end agentic applications
  • Experience with:
  • RAG systems and vector databases
  • Agent frameworks (LangGraph, LangChain, etc.)
  • Evaluation / observability systems for LLM applications
  • 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.)


Benefits & Perks
  • Competitive salary
  • Hybrid work arrangement in the New York area (4 days in office)
  • Excellent medical, dental, and vision insurance options, with low-cost premium structures that demonstrate our commitment to offering great value to our employees
  • 100% company-paid basic life insurance, short-term and long-term disability insurance
  • 100% paid parental leave upon eligibility
  • Company equity managed through Carta
  • 401k with match and 100% vesting upon hire
  • Flexible PTO in an environment where taking time off to relax or recharge is supported and encouraged
  • Take time off for holidays - and yes, your birthday counts too. Celebrate, relax, and recharge without thinking twice.


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