AI Tools Engineer for Production-Ready Consulting Tools

Applied Value Group

New York (NY)

On-site

USD 120,000 - 170,000

Full time

25 hours ago
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Job summary

Applied Value Group is seeking an AI Applied Engineer to build tools that put our expertise into production. You will create AI agents and modular skills connected to the firm’s knowledge base, turning domain expertise into capabilities that consultants can assemble into workflows.

This builder role partners with the Director of AI and with consultants to move from surfacing information to actionable tools that practitioners and clients actually use.

Qualifications

  • 3–6 years of software engineering experience, with at least 1 year shipping AI/ML or LLM features.
  • Strong Python or TypeScript fundamentals and familiarity with the modern web stack (APIs, light frontend, data plumbing).
  • Practical experience with LLM tooling (prompt engineering, retrieval, agent frameworks, evals).
  • Bias to ship: pragmatic tradeoffs to get a useful tool in front of a real user and iterate.

Responsibilities

  • Build AI tools end to end: prompts, retrieval, orchestration, UI, and glue code for consultant workflows.
  • Work directly with consultants, partners, and domain experts to learn the methodology and ship it.
  • Build on the firm’s governed stack and improve patterns as they evolve.
  • Harden prototypes into internal tools with code review, error handling, and observability.
  • Contribute to shared infrastructure that teams reuse instead of one-off scripts.
  • Run evals on what you ship and feed learnings into the next iteration.
  • Help consultants build by pairing with them and pointing to reusable parts of the stack.

Skills

Python
TypeScript
APIs
LLM tooling
Prompt engineering

Job description

Applied Value Group is seeking an AI Applied Engineer to build tools that put our expertise into production. You will create AI agents and modular skills connected to the firm’s knowledge base, turning domain expertise into capabilities that consultants can assemble into workflows.

This builder role partners with the Director of AI and with consultants to move from surfacing information to actionable tools that practitioners and clients actually use.

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