Applied AI Engineer

Location: United States; based out of the US office

Company

hirify.global builds AI systems that power enterprise workflows, autonomous assistants, and machine-assisted task automation.

What you will do

• Design, build, and fine-tune transformer-based and retrieval-augmented models for natural language understanding, intent classification, summarization, and context-aware reasoning.
• Develop semantic retrieval, automated knowledge search, agentic task orchestration, and conversational assistant components.
• Integrate AI systems with production data pipelines in a scalable and secure way.
• Build evaluation pipelines, define metrics, and establish performance and reliability benchmarks for AI features.
• Collaborate with engineering, data, and product teams to productize models with observability, monitoring, and continuous improvement.
• Own features end to end, from problem definition through deployment and performance monitoring, while contributing to code reviews and architecture discussions.

Requirements

• Strong programming experience in Python and familiarity with PyTorch or TensorFlow.
• Hands-on experience with transformer-based models, LLMs, embeddings, vector search, and retrieval augmentation.
• Experience building or integrating semantic search, RAG, or multi-agent workflows.
• Experience building reliable ML/AI systems in production environments.
• Understanding of scalable backend systems, cloud infrastructure, and model serving techniques.
• Good software engineering practices, including clean code, testing, Git, and cross-team collaboration.

Culture & Benefits

• Opportunity to shape the company and business from idea to production.
• Culture emphasizes agency, ownership, high-quality execution, continuous learning, urgency, and customer value.
• Practical benefits are provided for employees and their families.