Applied AI Engineer (AI-Native Marketplace) jobs in United States
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Worthland Consulting Inc. · 7 hours ago

Applied AI Engineer (AI-Native Marketplace)

Worthland Consulting Inc. is representing a well-funded, AI-native startup building a production marketplace. The Applied AI Engineer will own end-to-end AI systems that enhance scoring, matching, and ranking processes while collaborating closely with the founder and operations team.

Staffing & Recruiting

Responsibilities

Build and improve matching, scoring, and ranking systems that directly affect marketplace outcomes
Design explainable and calibratable AI outputs so users can understand and trust decisions
Compare new inputs against historical outcomes to surface meaningful signal
Iterate based on real-world feedback, not just offline metrics
Replace manual review steps with intelligent AI-driven workflows
Build feedback loops where human overrides improve model performance over time
Identify and surface stuck or anomalous cases requiring human attention
Generate structured summaries from unstructured data (documents, notes, transcripts)
Build retrieval-based assistants and role-specific AI tools
Ship features that are user-facing, measurable, and tightly integrated into the product
Design evaluation frameworks that reflect real business impact, not just model accuracy
Implement experimentation and A/B testing to validate improvements
Make pragmatic tradeoffs (prompt vs. fine-tune, off-the-shelf vs. custom)

Qualification

AI/LLM featuresEnd-to-end AI systemsLLM APIsBackend engineeringRecommendation systemsProduct intuitionAutomationHands-on experience

Required

4+ years of engineering experience with AI/LLM features shipped to production
Experience owning AI systems end-to-end in a real product environment
Hands-on experience with LLM APIs, embeddings, vector databases, and evaluation
Strong backend or full-stack engineering fundamentals
Comfort working with imperfect data and evolving requirements

Preferred

Experience at an AI-native startup or as a founding / early engineer
Background in recommendation systems, matching, search, or automation
Product intuition and comfort making fast, high-impact decisions
Willingness to be hands-on rather than operating through layers of abstraction

Benefits

Equity

Company

Worthland Consulting Inc.

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Worthland Consulting Inc.

Funding

Current Stage
Early Stage
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