Senior AI Production Engineer — Client-Facing, LLM & RAG

Elios AI

Dallas (TX)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Competitive compensation

Job summary

Elios AI in Dallas, TX is seeking an experienced software engineer to build production AI systems for enterprise clients. You’ll own hands-on work with RAG pipelines, LLM integrations, observability, and cost controls, delivering reliable features that real users depend on.

The role requires 5+ years in production software engineering, full-stack capability across Python, TypeScript, React, and modern backends, plus strong client-facing delivery experience.

Qualifications

  • 5+ years of production software engineering with hands-on LLM work.
  • Experience shipping AI systems used by real clients with measurable outcomes.
  • Full-stack skills across Python, TypeScript, React, and modern backends.
  • Client-facing or consulting delivery experience with shipped projects.
  • Hands-on builder mindset; not a delegator.

Responsibilities

  • Build and ship LLM-powered features into production, incl. RAG pipelines and model integrations.
  • Instrument features with evals, observability, latency optimization, and cost management.
  • Engage directly with client stakeholders and translate decisions for non-technical audiences.
  • Own your workstream from scoping through deployment.
  • Use agentic coding tools daily to amplify output while owning every shipped line.
  • Stay current with AI tooling, frameworks, protocols, and models.

Skills

LLM-focused engineering
Python
TypeScript
React
Client-facing delivery

Tools

Claude Code
Cursor
Codex

Job description

Elios AI in Dallas, TX is seeking an experienced software engineer to build production AI systems for enterprise clients. You’ll own hands-on work with RAG pipelines, LLM integrations, observability, and cost controls, delivering reliable features that real users depend on.

The role requires 5+ years in production software engineering, full-stack capability across Python, TypeScript, React, and modern backends, plus strong client-facing delivery experience.

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