You will help us build products that improve lives with our innovative, next generation system. We are passionate about quality, usability, and simplicity. We build delightful and accessible products that deliver data and insights across multiple platforms. 

Bring your creative and analytical skills to a team where you’ll be inspired, empowered, and rewarded for life by creating products that impact hundreds of thousands of families every day.

• Design and implement AI-powered workflows and applications using LLMs (ChatGPT/OpenAI, and future platforms) 
• Build and maintain agent-based systems, orchestration layers, and prompt frameworks 
• Develop APIs and services to integrate AI into enterprise systems (e.g., ServiceNow, internal tools, data platforms) 
• Implement RAG (Retrieval-Augmented Generation) architectures using enterprise data sources 
• Ensure solutions are modular, reusable, and scalable 
• Define and implement AI system architecture, including model selection, routing, and orchestration 
• Integrate AI capabilities into existing enterprise ecosystems 
• Partner with security and data teams to enforce: 
• Data boundaries 
• Access controls 
• Compliance requirements 
• Critical Principle: AI architecture, data boundaries, and model control remain internal and are never outsourced.
• Develop and maintain enterprise prompt libraries and reusable frameworks 
• Optimize prompts and agent flows for: 
• Accuracy 
• Consistency 
• Cost efficiency 
• Collaborate with AI Enablement to standardize prompt patterns across teams 
• Design and execute evaluation frameworks (e.g., OpenAI Evals, DeepEval) 
• Build automated pipelines to test: 
• Accuracy 
• Reliability 
• Edge-case handling 
• Continuously monitor and improve model performance in production 
• Partner with business stakeholders to: 
• Identify high-value AI use cases 
• Translate requirements into technical solutions 
• Rapidly prototype and iterate on AI solutions 

• Bachelor’s degree in Computer Science, Computer Engineering, or related field 
• 1-3 years of experience in software engineering or AI/ML engineering (flexible based on capability) 
• Hands-on experience building AI/LLM-based applications 
• Programming: Python (required), JavaScript/TypeScript (preferred) 
• Frameworks & Tools: 
• LLM tooling: OpenAI APIs, LangChain/LangGraph, Flowise (or similar) 
• Backend: FastAPI, Node.js 
• Frontend (nice to have): React 
• Data & AI: 
• Pandas, NumPy, basic ML concepts 
• Experience with RAG pipelines and vector databases 
• DevOps & Engineering: 
• Git/GitHub 
• API design and integration 
• Containerization (Docker preferred) 
• Experience building AI agents, chatflows, or automation workflows 
• Familiarity with evaluation frameworks and testing methodologies 
• Understanding of prompt engineering and LLM behavior 
• Experience integrating AI into enterprise environments 
• Exposure to ServiceNow, ITSM workflows, or enterprise support systems 
• Knowledge of data pipelines and knowledge management systems 
• Familiarity with AI governance, security, and compliance considerations 
• Experience working in Agile/Scrum environments