AI Engineer

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💎 Seniority level: Senior, 5+ years

📍 Location: United States, Canada

🔍 Industry: Customer Research

🏢 Company: Great Question👥 11-50💰 $2,500,000 Seed over 3 years agoInformation Services UX Design Information Technology

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: Software DevelopmentArtificial IntelligenceData AnalysisJavascriptMachine LearningNodeJS

Requirements:

5+ years of experience in software development, with at least 1-2 years focused on LLM applications
Strong programming skills with experience implementing LLM applications (JS preferred)
Demonstrated expertise in prompt engineering and LLM application development
In-depth knowledge of various agent frameworks (LangGraph, LangChain, AutoGPT, BabyAGI, etc.) and ability to evaluate their strengths and weaknesses
Experience designing, implementing, and evaluating AI systems in production environments
Excellent problem-solving skills and attention to detail
Strong communication skills and ability to explain complex AI concepts to non-technical stakeholders
Experience with evaluation frameworks and testing methodologies for LLM applications

Responsibilities:

Design and build agent-based flows that integrates seamlessly with our existing platform
Develop sophisticated prompt templates that effectively interact with our API to create research studies, review documents, and assist in research activities
Evaluate and recommend the optimal framework for our use case (LangGraph vs. alternatives)
Implement the chosen agentic framework to create a coherent AI agent experience
Ensure the AI system can effectively understand user research needs and translate them into actionable research plans
Create robust, reliable prompts that consistently produce high-quality outputs
Develop techniques to ensure AI responses remain factual, helpful, and aligned with research best practices
Optimize prompts for different use cases within the customer research workflow
Document prompt strategies and engineering decisions for knowledge sharing
Provide expert guidance on the selection of appropriate agentic frameworks (whether LangGraph or alternatives)
Explain trade-offs between different frameworks in terms of performance, maintainability, and integration with our JavaScript stack
Stay current with the latest advancements in LLM agent frameworks and recommend improvements
Implement the chosen framework effectively within our JavaScript environment
Design and implement comprehensive evaluation frameworks to measure AI system performance
Create automated tests to ensure consistent AI behavior across different scenarios
Develop monitoring systems to track AI system performance and identify areas for improvement
Collaborate with the product team to gather user feedback and iterate on AI capabilities
Work with our strong frontend resources and app developers to integrate AI capabilities
Focus primarily on the prompting strategy and agentic framework rather than frontend implementation
Ensure AI features are developed in JavaScript to align with our tech stack
Document technical specifications and implementation details for the broader team

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