Lead Forward Deployed Engineer

Elios AI

Seattle (WA)

Hybrid

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

Elios AI in Seattle seeks an engineering leader to drive production AI engagements from scoping to deployment. You will stay hands-on with architecture and code while guiding a small team and serving as the technical voice clients trust.

This role emphasizes delivering high-quality engineering, clear communication with stakeholders, and maintaining velocity with current tooling while keeping client relationships at the forefront.

Qualifications

  • 7+ years of production software engineering with AI experience.
  • Proven track record leading client-facing delivery.
  • Deep experience with production AI patterns: retrieval, hallucination mitigation, latency and cost.
  • Full-stack capability across Python, TypeScript, React, and modern backends.
  • Ability to lead a team while remaining hands-on technically.

Responsibilities

  • Lead delivery of production AI engagements end to end 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 agentic coding tools (Claude Code, Cursor, Codex) with intent.

Skills

LLM work
Client delivery
Python
TypeScript
React
Production AI
Leadership

Tools

Claude Code
Cursor
Codex

Job description

Location: Seattle, WA | 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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