AI Systems Architect & LLM Engineer

Sphere Software; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Sphere Software seeks an AI Engineer to lead AI-first product development and optimize production-grade AI systems. You will own complex initiatives, work with senior stakeholders, and drive LLM inference infrastructure from concept to production.

The role emphasizes hands-on experience with LLM engineering, RAG pipelines, vector search, and multi-agentic workflows, plus scalable AI architecture and performance tuning.

Qualifications

• Proven experience building production AI/LLM systems.
• Hands-on with LLM engineering, RAG pipelines, and multi-agent workflows.
• Ability to design scalable AI system architectures.

Responsibilities

• Lead development of AI-first features and products under deadlines.
• Implement AI-first solutions with partners and clients.
• Design architecture for AI-powered products and LLM apps.
• Validate and improve AI products from feedback and reqs.
• Define technical scope with execs and stakeholders.
• Benchmark and optimize LLM inference performance.
• Tune inference for high throughput and low latency.
• Monitor performance metrics and identify bottlenecks.

Skills

LLM engineering

RAG pipelines

Vector search

Multi-agentic workflows

Production AI systems

System design

Performance tuning

Inference optimization

Communication with stakeholders

Tools

vLLM

TensorRT-LLM

Triton Inference Server

Job description

Sphere Software seeks an AI Engineer to lead AI-first product development and optimize production-grade AI systems. You will own complex initiatives, work with senior stakeholders, and drive LLM inference infrastructure from concept to production.

The role emphasizes hands-on experience with LLM engineering, RAG pipelines, vector search, and multi-agentic workflows, plus scalable AI architecture and performance tuning.