Senior Lead - AI Engineering

Location: Bellevue, Washington, United States; hybrid work with work-from-home and on-site presence at client or hirify.global offices

Salary: $185,000–$197,500 annually

Company

hirify.global is a management consulting and technology firm that combines data, science, technology, and human ingenuity to develop solutions and products for patients, caregivers, consumers, and clients.

What you will do

• Design and implement LLM-powered applications using transformer models.
• Build and optimize RAG pipelines with embeddings, chunking strategies, vector search, and hybrid search.
• Develop prompt engineering, structured output, tool-augmented LLM, and model fine-tuning workflows using LoRA, PEFT, and instruction tuning.
• Evaluate embedding and language models through automated and human-in-the-loop methods.
• Optimize inference for latency, GPU utilization, and cost efficiency through quantization, batching, and caching.
• Deploy scalable LLM and RAG services with FastAPI, integrate AI systems into production environments, and support CI/CD, monitoring, and reliability.

Requirements

• Bachelor’s or master’s degree in computer science or a related field.
• 4+ years of hands-on machine learning experience with production LLM systems.
• Strong knowledge of machine learning, deep learning, transformer architectures, prompt engineering, embeddings, and vector search.
• Backend API design experience with FastAPI, asynchronous programming, rate limiting, Python, type hints, Pydantic, SOLID principles, and design patterns.
• Experience with vector databases such as Pinecone, Weaviate, or Chroma, plus ML Ops, MLFlow, model versioning, and A/B testing.
• Fluency in English and authorization to work in the United States without now or future employer sponsorship are required.

Nice to have

• Experience with Langfuse for LLM observability.
• Experience working with NLP and computer vision.

Culture & Benefits

• Cross-functional skills development and custom learning pathways.
• Milestone training programs aligned with career progression.
• Internal mobility and role expansion opportunities.
• Comprehensive benefits supporting health, financial security, time away, and professional development.
• Client-facing work may require travel based on project and client needs.

Hiring process

• An online application with a full set of official or unofficial transcripts is required.