Principal Engineer (AI)

TL;DR

Principal Engineer (AI): Building and deploying production-ready Generative AI and Machine Learning systems for a business planning platform with an accent on LLM integration, RAG, and agentic workflows. Focus on designing scalable MLOps/LLMOps pipelines, optimizing model inference, and creating conversational interfaces to simplify complex planning tasks.

Location: Remote (Pennsylvania, United States)

Company

hirify.global is an AI-infused scenario planning and analysis platform helping global Fortune 50 companies optimize business decision-making.

What you will do

• Lead the architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production.
• Develop end-to-end GenAI features, including backend API services, model integration, and evaluation frameworks.
• Optimize LLMs for specific business planning use cases using prompt engineering and RAG implementation.
• Build conversational interfaces and agentic workflows to make complex planning tasks accessible through natural language.
• Implement monitoring, logging, and observability for GenAI systems to track usage and model behavior.
• Collaborate with data scientists to productionize ML models and forecasting algorithms.

Requirements

• Extensive professional experience in Artificial Intelligence, Machine Learning, or related engineering domains.
• Proven track record of training and deploying ML models in production environments.
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• Strong expertise in MLOps and LLMOps for scalable and reliable model deployments.
• Proficiency in Python and modern software development practices (testing, code review, CI/CD).
• Must be based in the United States.

Nice to have

• Advanced degree (Master's or Ph.D.) in Computer Science, AI, or ML.
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models.
• Experience with model serving frameworks such as vLLM, TensorRT, or Ray.
• Experience with model observability tools like LangSmith, W&B, or MLflow.
• Contributions to open-source ML projects or research publications.

Culture & Benefits

• Inclusive "Winning Culture" that champions diversity of thought and ideas.
• Strong commitment to Diversity, Equity, Inclusion, and Belonging (DEIB).
• Environment that encourages behaving like a leader regardless of title.
• Opportunity to work with a market-leading platform used by Fortune 50 companies.