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Llm Backend Engineer Jobs in Colorado (NOW HIRING)

Ombud

Senior Full Stack AI Engineer

Denver, CO · Hybrid

LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense ... Full-stack feature delivery across Python (primary backend), Node.js (legacy services), React ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · Hybrid

LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense ... Full-stack feature delivery across Python (primary backend), Node.js (legacy services), React ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · On-site

LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense ... Full-stack feature delivery across Python (primary backend), Node.js (legacy services), React ...

Litera

Senior Software Engineer

Denver, CO · On-site

$130K - $175K/yr

NET backend, TypeScript/React frontend, and cloud-based services. * Design scalable APIs, services ... Experience building AI-powered products, LLM-based workflows, RAG systems, agents, or integrations ...

Worky

Senior Software Engineer, Full-Stack

Broomfield, CO · On-site

$150 - $200/hr

Our stack is Ruby on Rails on the backend and Vue.js on the frontend -- and we value engineers who ... Experience integrating LLM APIs (e.g., Anthropic, OpenAI) or building AI-powered product features.

Litera Group

Software Engineer

Denver, CO · On-site

$125 - $150/hr

Implement LLM safety, observability, and policy compliance (e.g., logging, red-teaming, PII ... Strong knowledge of backend development, APIs, and service-oriented architecture* Proven prompt ...

Autodesk

Search Intelligence Manager

Denver, CO

You'll work with backend data systems, BI tools, Streamlit dashboards, Google Search Console ... Partner with analytics, data engineering, search, content, marketing, and technical teams to define ...

Capital Rx

Senior Machine Learning Engineer II

Denver, CO · On-site

$107K - $147K/yr

... LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing ... Develop and maintain backend services using Python, focusing on AI-driven applications. * Design ...

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Llm Backend Engineer information

What is an LLM backend engineer?

LLM Backend Engineers are software engineers who specialize in designing, building, and optimizing the backend infrastructure that supports large language models (LLMs) like GPT-4. They focus on integrating LLMs into products and services, ensuring scalable APIs, managing data pipelines, and optimizing inference performance. Their work often involves deploying models in cloud environments, monitoring system reliability, and collaborating with AI researchers to bring advancements into production. LLM Backend Engineers play a critical role in making AI-powered applications robust, efficient, and accessible to end users.

What are the key skills and qualifications needed to thrive as an LLM backend engineer?

To thrive as an LLM Backend Engineer, you need a solid foundation in software engineering, backend architecture, and experience working with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python or Java, cloud platforms (AWS, GCP, Azure), and machine learning frameworks such as TensorFlow or PyTorch is essential, along with familiarity with APIs and containerization tools like Docker or Kubernetes. Strong problem-solving, collaboration, and communication skills distinguish top performers in this role. These skills ensure robust, scalable, and efficient deployment of LLM-powered applications while enabling effective teamwork and innovation.

What are some common challenges faced by LLM backend engineers when deploying large language models in production?

LLM Backend Engineers often encounter challenges such as optimizing inference latency, managing high resource consumption, and ensuring scalability for production workloads. Balancing model performance with cost efficiency requires careful selection of hardware, batching strategies, and model quantization techniques. Additionally, they must address security and privacy concerns associated with handling sensitive data processed by the models. Collaboration with data scientists and DevOps teams is essential to streamline model updates and monitor system health.

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Llm Backend Engineer jobs near you

Staff Software Engineer, Design Services

Havenly, Inc.

Denver, CO • On-site

$200 - $250/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Staff Software Engineer, Design Services
  • Architecture for our AI design experiences, from generating and editing room designs to product recommendations, including how we evaluate output quality and keep a human accountable for what ships.
  • The hardest, least-defined initiatives across the 3D and Studio stack, the AI agent platform, the TypeScript graph layer, and the services behind them.
  • The path off our older PHP monolith toward the graph and modern services, without stalling product work.
What success looks like
  • In 90 days: you've gone deep on the platform, shipped real improvements, and taken ownership of one ambiguous, high-impact area.
  • In a year: you've defined and delivered the architecture for a major AI design capability, raised the quality bar across the team, and mentored engineers into bigger scope.
How we work with AI

AI is core to both what we build and how we build it, and we're investing heavily in it, beyond using AI to write code faster.

  • Alongside our agent platform and LLM tooling, we're building an internal harness so agents can take on real engineering work, like error resolution, bug fixes, and feature enhancements, around the clock.
  • The team ships with Claude Code, Codex, and Cursor.
  • We want someone who can help architect this, has built or shipped AI-backed product features, can design eval sets and quality baselines, and can reason about model, data, and latency tradeoffs.
Must-haves
  • You've operated at a staff level and owned architecture and execution for complex systems across more than one team or product area.
  • Strong full-stack fundamentals across web, services, data, and infrastructure.
  • You've built or shipped AI-backed product features and can evaluate their quality honestly.
  • You set technical direction through influence and clear writing, and you stay accountable for systems in production.
Nice to have
  • 3D, graphics, rendering, or computer-vision experience.
  • Experience modernizing a monolith toward services or a graph.
Technologies we use
  • AI: Claude Code, Codex, Cursor, an internal agent platform, and LLM tooling.
  • Web and mobile: React/TypeScript customer and designer apps, plus a native iOS app in Swift.
  • Backend: PHP, Node/TypeScript, a TypeScript GraphQL layer, Python.
  • 3D and Studio: Python rendering pipelines, our in-house 3D toolchain (Lunes), floorplan and visualization systems.
  • Infrastructure: AWS, Terraform, Docker.
  • Location: open to remote candidates in select US locations, with a preference for Denver.
  • Compensation: $185,000 to $220,000, depending on experience. This role is also eligible for company equity.
  • Benefits: generous PTO, volunteer days off, medical, dental, vision, and disability coverage, a 401(k) with company match, free design services, furniture discounts, and merchandise credits.
  • Havenly is an Equal Opportunity Employer. Applicants must be currently authorized to work in the United States on a full-time basis.
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