Production AI Engineer: LLM Systems & RAG Pipelines

Elios AI; Denver (CO); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Job summary

Elios AI in Denver is seeking a hands-on software engineer to build production AI systems for enterprise clients. You’ll ship LLM-powered features, implement RAG pipelines, and work directly with clients to translate technical decisions into business outcomes.

This role emphasizes ownership from scoping to deployment; you’ll stay current with evolving tooling and models, using modern stacks across Python, TypeScript, React, and backend frameworks with a strong focus on measurable outcomes.

Qualifications

• 5+ years of production software engineering with hands-on LLM work.
• Experience shipping AI systems used by real users with measurable outcomes.
• Full-stack capability across Python, TypeScript, React and modern backend frameworks.
• 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, including RAG pipelines, agent workflows, and model integrations
• Instrument what you build with evals, observability, latency optimization, and cost management
• Work directly with client stakeholders, translating technical decisions for non-technical audiences
• Own your workstream from scoping through deployment
• Use agentic coding tools daily to amplify your output while reviewing and owning every line that ships
• Stay current with frameworks, protocols, and models as the tooling landscape moves

Skills

LLM-focused engineering

Python

TypeScript

React

Backend frameworks

Client-facing delivery

Hands-on development

Job description

Elios AI in Denver is seeking a hands-on software engineer to build production AI systems for enterprise clients. You’ll ship LLM-powered features, implement RAG pipelines, and work directly with clients to translate technical decisions into business outcomes.

This role emphasizes ownership from scoping to deployment; you’ll stay current with evolving tooling and models, using modern stacks across Python, TypeScript, React, and backend frameworks with a strong focus on measurable outcomes.