Lead Forward Deployed Engineer

Elios AI; Boston (MA); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Elios AI in Boston leads production AI engagements, owning delivery from scoping conversations through deployment. You stay hands-on with the architecture and code while guiding a small team of engineers and serving as the technical voice clients trust.

Our client organizations scale AI programs enterprise-wide, requiring high engineering quality and clear stakeholder communication. This role emphasizes leading from the front—shipping, reviewing code, and maintaining current tooling expertise

Qualifications

• 7+ years of production software engineering with AI focus
• Proven track record delivering client-facing AI projects
• Experience with retrieval metrics, hallucination mitigation, latency and cost optimization
• Full-stack capability across Python, TypeScript, React and modern backend frameworks

Responsibilities

• Lead end-to-end delivery of production AI engagements from scoping to deployment
• Architect LLM-powered systems: multi-agent platforms, hybrid RAG pipelines, and cost-aware integrations
• Present technical recommendations to stakeholders and deliver on them
• Guide and review the work of other engineers while staying hands-on with code
• Establish evals, observability, and quality bars for production deployments
• Direct agentic coding tools (Claude Code, Cursor, Codex) with ownership of what ships

Skills

LLM-focused engineering

Client-facing delivery

Python

TypeScript

React

Leadership

Tools

Claude Code

Cursor

Codex

Job description

Location: Boston, MA | 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.