AI Engineer

Raydar

$350K — $500K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years as a full-stack or backend-focused software engineer
  • Experience in deploying LLM-powered ranking and retrieval systems
  • Hands-on role in systems interpreting user preferences
  • Experience in evaluating quality metrics for AI systems
  • Familiarity with prompting, embeddings, and product workflows
  • Proven ability to diagnose and resolve production issues
  • Fast-paced, AI-native development approach

Responsibilities

  • Own the complete architecture for AI agents
  • Build and productionize user memory and state systems
  • Enhance ranking and retrieval for personalized experiences
  • Refine multi-turn interactions through error recovery
  • Design the consumer-facing rendering of agent outputs
  • Manage model-provider interactions and fallback strategies
  • Establish evaluation metrics for agent performance

Benefits

  • Competitive equity
  • Direct ownership of a key consumer AI product
  • Hybrid work model in New York City
  • Visa transfer support based on individual cases
  • Opportunity to collaborate with a nimble, high-velocity team
Full Job Description
We are hiring an AI Engineer to own the conversational intelligence layer end to end. You will turn large language model capabilities into reliable product behavior across agent loops, prompt architecture, tool calling, state, memory, streaming, and error recovery.

What you'll do
• Own the full agent architecture, including prompts, tool calling, multi-step reasoning, and streaming
• Productionize conversational state and memory systems that interpret user preferences
• Build ranking, retrieval, and recommendation experiences that surface useful, personalized results
• Improve multi-turn reliability through refinement loops, error recovery, and graceful degradation
• Design the rendering layer between agent output and the consumer product experience
• Manage model-provider strategy, caching, structured outputs, and fallback behavior
• Define and operate evaluation systems for ranking, retrieval, and agent behavior
• Debug production failure modes and continuously improve quality using evidence from real users

Requirements
• At least four years of experience as a full-stack or backend-leaning software engineer
• Experience shipping LLM-powered ranking, retrieval, or recommendation systems into production
• Hands-on ownership of systems where models interpret user preferences and surface results
• Real evaluation experience, including defining, running, and iterating on quality metrics
• Comfort across prompting, embeddings, retrieval, memory, preferences, and product-facing agent workflows
• Strong ability to explain specific production failures you diagnosed and corrected
• An AI-native development workflow and a track record of learning and shipping quickly
• Willingness to work regularly from New York City

Bonus points
• Experience in travel, search relevance, personalization, memory, or consumer recommendations
• Experience at a high-growth startup or top technology company
• Proficiency in TypeScript, with Python also welcome
• Significant side projects involving AI agents or production-grade LLM systems
• A strong academic or equivalent technical signal

Benefits
• Total compensation of $350K-$500K
• Competitive equity
• Direct ownership of a core consumer AI product surface
• Visa transfers, including OPT or H-1B transfers, may be considered case by case
• Hybrid in New York City
• Full-time position
• Close collaboration with a small, fast-moving team

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