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Senior Applied AI Engineer, Agent Quality & Evaluations

Job in Northern, Floyd County, Kentucky, USA
Listing for: vibehackers
Full Time position
Listed on 2026-09-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 250000 USD Yearly USD 150000.00 250000.00 YEAR
Job Description & How to Apply Below
Senior Applied AI Engineer, Agent Quality & Evaluations

Building AI dev tools and evaluation for LLMs and agents; focuses on prompts, agent loops, and observability.

About the Role

Flodesk is hiring a Senior Applied AI Engineer to own agent quality and evaluation for member-facing AI features. You will build the prompting, agent instructions, evaluation infrastructure, monitoring, and tooling needed to measure and improve production LLM/agent behavior across the product.

Job Description Role

Flodesk is seeking a Senior Applied AI Engineer (Agent Quality & Evaluations) to report to the Head of Product, AI Systems and Core Experience. The role focuses on shaping AI-driven member experiences by owning prompts, agent instructions, quality definitions, evaluation criteria, and the continuous-improvement loop through technical tooling and evaluation infrastructure.

Key Responsibilities
  • Manage member-facing AI behavior across prompt-to-create, agentic editing, and future jobs (segmentation, scheduling, analytics, recommendations).
  • Create, test, version, and document prompts and agent instructions with a clear change history and measurable impact.
  • Define how context, member data, tools, and product state should be used; prototype agent loops, tools, and structured interfaces.
  • Own AI evaluation practice: representative datasets, behavioral scenarios, scoring rubrics, regression suites, and human review.
  • Build and operate evaluation harnesses, monitoring, and quality dashboards to enable scalable measurement.
  • Diagnose failures across prompts, context, orchestration, models, tools, data, and product code; fix issues or partner with owners.
  • Set quality baselines and release gates for prompt, model, and agent changes; convert production failures and feedback into regression cases.
  • Partner with product, design, marketing, and copy experts to encode product point-of-view while contributing product judgment.
Requirements
  • Proven track record of building or meaningfully improving production LLM or agentic products (not just prototypes).
  • Strong software engineering skills in Python, Type Script, or similar languages to build internal tools, evaluation systems, and prototypes.
  • Clear understanding of interactions among prompts, context, tools, agent loops, orchestration, and product state.
  • Direct experience with LLM evaluation, observability, and experimental design; ability to combine automated checks with human judgment.
  • Strong product sense to translate ambiguous member feedback into testable quality definitions and concrete system changes.
  • Systems thinking and emphasis on reusable patterns to avoid short-term assumptions that hinder future surfaces.
  • Clear communication across technical and nontechnical disciplines; able to explain tradeoffs involving quality, latency, reliability, and cost.
Bonus / Nice to have
  • Experience building content-generation, creative, or marketing tools.
  • Experience building multi-turn agents that use tools and preserve user intent across edits.
  • Experience with Langfuse, Braintrust, or comparable evaluation and observability platforms.
  • Experience working on products for small businesses, creators, or marketers.
  • Base salary range: $150,000 - $250,000 (tiers noted: Tier 1 cities $165,000 - $250,000; other US locations $150,000 - $235,000).
  • Fully paid health insurance for individual coverage.
  • Parental leave: 16 weeks paid for non-birthing parents; 22 weeks paid maternity leave for birthing parents.
  • Unlimited flexible time off.
  • 401(k) match (US employees only).
  • $1,000 annual stipend for learning and development.
  • Remote-first company with globally distributed team and in-person hubs.

Python Type Script LLMs Langfuse Braintrust

Skills

Systems thinking Software engineering Prompt engineering Evaluation & observability Experimental design Monitoring and diagnostics Product sense Prototyping Cross-functional collaboration Documentation and versioning Quality assurance

Experience Level

Senior

USD 150,/year

Employment Type

Full Time

  • Fully paid health insurance (individual coverage)
  • 16 weeks paid parental leave (non-birthing parents)
  • 22 weeks paid maternity leave (birthing parents)
  • Unlimited flexible time off
  • 401(k) match (US employees only)
  • $1,000 annual learning and development stipend
Position Requirements
10+ Years work experience
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