Senior AI Engineer (LLMs)

TL;DR

Senior AI Engineer (LLMs): Building and owning the LLM + retrieval + context layer that powers various copilots across critical workflows with an accent on making these copilots accurate, auditable, fast, and cost-efficient. Focus on production RAG, context graph development, LLM orchestration, and GPU/inference cost optimization.

Location: Remote (US)

Salary: $146,000–$236,000

Company

hirify.global is a technology-driven company streamlining the life insurance process, making it more accessible and convenient by leveraging predictive analytics and data science.

What you will do

• Own the LLM + retrieval + context layer for LLM-powered copilots, ensuring accuracy, auditability, speed, and cost-efficiency.
• Design and ship the end-to-end pipeline: retrieve → assemble context → generate → cite → log/monitor.
• Improve quality and trust via evaluation, feedback loops, and clear evidence-backed outputs.
• Implement production RAG, including indexing, retrieval, hybrid search, reranking, query rewriting, grounding, and citations.
• Develop Context Graph for entity resolution, linking, provenance, and multi-hop context.
• Optimize GPU inference costs through batching, caching/KV reuse, quantization, and autoscaling.

Requirements

• 7+ years building production systems; 2+ years hands-on LLMs/RAG.
• Proven RAG experience (embeddings, vector DBs, hybrid search, reranking, eval).
• Strong backend/distributed systems and observability experience.
• Track record shipping in high-stakes environments with auditability/correctness.
• Knowledge graph / entity resolution / provenance systems experience.
• GPU inference optimization experience (vLLM/TGI/TensorRT-LLM, quantization AWQ/GPTQ, batching).
• Regulated domain experience (insurance/fintech/healthcare).

Culture & Benefits

• Dedicated to building a diverse, inclusive, and authentic workplace.
• Committed to being an equal opportunity employer.
• US-specific benefits available (not detailed, but mentioned).
• Focus on protecting families and rapid scaling within the insurtech industry.