Senior Production AI Delivery Lead

Elios AI; Miami (FL); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work setup

Job summary

Elios AI in Miami, FL is seeking a Senior Software Engineer to lead client engagements building production AI systems. You will own delivery from scoping conversations through deployment, staying hands-on with architecture and code while guiding a small engineering team.

You will architect LLM-powered platforms, hybrid RAG pipelines, and cost-aware integrations, present recommendations to stakeholders, and ensure quality through observability and robust testing.

Qualifications

• 7+ years of production software engineering with substantial LLM work.
• Proven track record leading client-facing delivery of 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-focused development

Client-facing delivery

Full-stack development

Team leadership

Tools

Claude Code

Cursor

Codex

Job description

Elios AI in Miami, FL is seeking a Senior Software Engineer to lead client engagements building production AI systems. You will own delivery from scoping conversations through deployment, staying hands-on with architecture and code while guiding a small engineering team.

You will architect LLM-powered platforms, hybrid RAG pipelines, and cost-aware integrations, present recommendations to stakeholders, and ensure quality through observability and robust testing.