Lead Forward Deployed Engineer

Elios AI

Denver (CO)

Hybrid

USD 180,000 - 260,000

Full time

7 days ago
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Job summary

Elios AI in Denver is seeking a senior software engineering leader to guide client engagements, build production AI systems, and stay hands-on with architecture and code. You will lead a small engineering team and serve as the technical voice trusted by clients.

The role emphasizes delivering high-quality AI solutions at enterprise scale, balancing engineering rigor with stakeholder communication. Hybrid setup and leadership duties are core aspects.

Qualifications

  • 7+ years of production software engineering with LLM experience.
  • Proven track record leading client-facing delivery.
  • Deep experience in production AI patterns and cost controls.
  • Full-stack capability across Python, TypeScript, React, and backend frameworks.

Responsibilities

  • Lead end-to-end production AI engagements from scoping to deployment.
  • Architect LLM-powered systems including multi-agent platforms and RAG pipelines.
  • Present technical recommendations to stakeholders and deliver on them.
  • Guide and review engineers while staying hands-on in code.
  • Establish evals, observability, and quality bars for live deployments.
  • Direct coding tool usage with intent, owning every line shipped.

Skills

Production software engineering
LLM-focused work
Client-facing delivery
Production AI patterns
Full-stack Python/TS/React
Leadership while hands-on

Tools

Claude Code
Cursor
Codex

Job description

Location: Denver, CO | Type: Full Time | Setup: Hybrid | Experience: 7+ years

About the Role

You'll lead client engagements building production AI systems, owning delivery from the first scoping conversation through deployment. You stay hands-on with the architecture and the code while guiding a small team of engineers and serving as the technical voice clients trust.

Our client is an organization putting AI into production at enterprise scale, where engagements succeed on both engineering quality and stakeholder communication. Building the right thing matters as much as building the thing right.

This role is for engineers who lead from the front: still shipping, still reviewing code, still fluent in current tooling, while carrying the client relationship.

What You\'ll Do
  • 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
Qualifications
  • 7+ years of production software engineering, including substantial LLM-focused work
  • A track record of leading client-facing delivery, with projects that shipped and ran reliably
  • 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
Why Join Us

You'll own meaningful engagements with real authority over how they're delivered, alongside practitioners who build the same systems daily. Competitive compensation and benefits.

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