Senior Software Engineer, Applied AI

Wealth.com

• $150K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or similar experience
  • Strong software engineering skills including system design and clean code practices
  • Proven experience building and delivering production systems
  • Proficiency in Python, TypeScript, and C#, with ability to learn new languages
  • Experience with deploying AI applications in a production environment
  • Hands-on experience with multi-step AI systems
  • Ability to navigate ambiguous and fast-paced work contexts

Responsibilities

  • Transform loosely defined ideas into deployed, production-level features
  • Make key architectural choices for AI-driven backends and user interfaces
  • Design and implement real-world AI products that serve live users
  • Create systems for multi-step workflows incorporating reasoning and output management
  • Develop user interfaces that facilitate collaboration between humans and AI
  • Integrate tools such as APIs and retrieval systems into AI systems
  • Ensure quality and performance through evaluation, monitoring, and optimization

Benefits

  • Hybrid work arrangement in the New York area
  • Comprehensive medical, dental, and vision insurance options
  • 100% company-paid basic life insurance and disability coverage
  • Generous parental leave policy
  • Equity opportunities managed through Carta
  • 401k plan with match and immediate vesting
  • Flexible PTO policy promoting time off for relaxation
  • Paid time off for holidays, including personal celebrations like birthdays
Full Job Description
The Role

We are seeking a Software Engineer, AI to build the next generation of AI-powered applications. This is a builder role. You will design and ship production-grade, agentic systems that deliver real user value - not prototypes or demos.

You will operate at the intersection of AI, product, and engineering, taking ambiguous ideas and turning them into scalable, user-facing experiences. From document understanding to multi-step workflows, your work will directly shape how users interact with AI.

What You Will Do:

Own problems end-to-end
  • Take loosely defined ideas and turn them into shipped, production features
  • Make architectural decisions across AI systems, backend, and frontend
Build real AI products (not demos)
  • Design, build, and deploy production-grade systems leveraging LLMs
  • Own systems that handle real user traffic, constraints, and failure modes
Develop agentic systems
  • Build multi-step workflows with reasoning, tool use, and structured outputs
  • Design systems that balance autonomy, control, and reliability
Design AI-native user experiences
  • Build AI-native interfaces (agentic UIs) where users collaborate with AI
  • Implement streaming, feedback loops, and iterative workflows
Work with tools / skills (AI capabilities)
  • Integrate and compose tools ("skills") such as APIs, retrieval systems, and external actions
  • Design product features that leverage these capabilities effectively within agent workflows
  • Collaborate with AI Infrastructure to improve tool interfaces and behavior
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 frontend experiences
  • Ship quickly and iterate based on real usage


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 systems
  • Proficiency in Python and/or TypeScript. Must be comfortable working across a polyglot stack, picking up new languages and frameworks as needed
  • Experience building AI-powered applications in production
  • Hands-on experience with agentic or multi-step AI systems
  • Experience working with APIs or tool integrations within AI systems
  • Ability to operate in ambiguous, fast-moving environments


Preferred Qualifications (Bonus Points):
  • Experience building end-to-end agentic applications
  • Experience with:
    • Agent frameworks (LangGraph, LangChain, etc.)
    • Evaluation / observability systems
    • RAG systems and vector databases
  • Experience with cloud infrastructure, preferably AWS or GCP.
  • Experience in regulated domains (finance, legal, real estate, healthcare, etc.)


Benefits & Perks
  • Competitive salary.
  • Hybrid work arrangement in the New York area
  • 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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