Lead AI Delivery Engineer for Production Systems

Elios AI; Phoenix (AZ); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Elios AI in Phoenix, AZ is seeking a senior engineer to lead client engagements building production AI systems, owning delivery from scoping through deployment. You will stay hands-on with architecture and code while guiding a small team of engineers and serving as the technical voice clients trust.

You'll lead end-to-end production AI engagements, architect LLM-powered systems, and present recommendations to stakeholders while ensuring high-quality delivery and strong client relationships in a

Qualifications

• 7+ years of production software engineering including substantial LLM work.
• Experience leading client-facing delivery with shipped projects.
• Deep experience with production AI patterns: retrieval metrics, hallucination mitigation, latency and cost optimization.
• Full-stack capability across Python, TypeScript, React and modern backend frameworks.
• Able to lead a team while remaining a hands-on technical contributor.

Responsibilities

• Lead delivery of production AI engagements end to end, from scoping through deployment.
• Architect LLM-powered systems: multi-agent platforms, hybrid RAG pipelines, and integrations with cost controls and fallback strategies.
• Present technical recommendations to stakeholders and then deliver on them.
• Guide and review the work of other engineers without stepping out of the code yourself.
• Establish evals, observability, and quality bars so what ships holds up under real usage.
• Direct agentic coding tools (Claude Code, Cursor, Codex) with intent, owning every line that goes out.

Skills

LLM work

Client-facing delivery

Full-stack dev

Python/TypeScript/React

Team leadership

Production software eng

Tools

Claude Code

Cursor

Codex

Job description

Elios AI in Phoenix, AZ is seeking a senior engineer to lead client engagements building production AI systems, owning delivery from scoping through deployment. You will stay hands-on with architecture and code while guiding a small team of engineers and serving as the technical voice clients trust.

You'll lead end-to-end production AI engagements, architect LLM-powered systems, and present recommendations to stakeholders while ensuring high-quality delivery and strong client relationships in a