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Llm Agent Jobs in Colorado (NOW HIRING)

AppFolio

CO

$107K - $147K/yr

This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure. You will ...

AppFolio

CO · On-site

$107K - $147K/yr

This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure. You will ...

Pyramid Consulting, Inc

AI/LLM Engineers

Denver, CO · On-site

Job Summary : Pyramid Consulting, Inc. is seeking talented AI/LLM Engineers for a long-term ... with LLMs -- prompt engineering, agent frameworks, tool-use patterns, or RAG systems. • ...

TIFIN

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$200K - $275K/yr

Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning * Deep proficiency in Python, with experience in distributed systems, cloud infrastructure (AWS/GCP ...

Themesoft Inc

Remote_QA tester-AI Agentic

Denver, CO · On-site

$100 - $125/hr

Test agent orchestration, tool calling, and workflow execution. * Evaluate LLM responses for accuracy, relevance, and consistency. * Test prompt engineering effectiveness and response quality.

TIFIN

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$128K - $168K/yr

Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning * Deep proficiency in Python, with experience in distributed systems, cloud infrastructure (AWS/GCP ...

Axos Bank

API Platform Owner

Centennial, CO · On-site

$150K - $170K/yr

Define LLM API design standards covering provider abstraction (Vertex AI, Anthropic, OpenAI ... Design scalable microservices and AI-agent integration architectures, including agent-to-tool and ...

TIFIN

Staff AI Engineer

Boulder, CO · On-site

... AI and LLM applications into production, 6+ years of ML experience. • Demonstrated experience designing and deploying multi-agent systems of various architecture. • Strong experience with ...

Mind Ware Inc

Lead GenAI / AI-ML SME

Centennial, CO · On-site

$105K - $138K/yr

Design and build LLM-powered agents and multi-agent workflows for anomaly detection, triage, root-cause investigation, and operational insight generation * Develop RAG capabilities that connect ...

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Llm Agent information

What is the difference between Llm Agent vs Data Scientist?

AspectLlm AgentData Scientist
Required CredentialsTypically a background in AI, machine learning, or related fields; often requires knowledge of NLP and AI frameworksUsually a degree in data science, statistics, or computer science; certifications in data analysis or machine learning are common
Work EnvironmentPrimarily in AI development teams, tech companies, or research labs; focuses on designing and deploying AI agentsIn diverse settings including tech firms, finance, healthcare; analyzes data to inform business decisions
Employer & Industry UsageUsed by AI-focused companies, startups, and research institutionsEmployed across industries like finance, healthcare, marketing, and tech

While both roles involve working with data and advanced technologies, Llm Agents specialize in developing AI agents that utilize large language models, whereas Data Scientists focus on analyzing data to extract insights. The roles often overlap in skills but differ in their primary focus and application.

What are popular job titles related to Llm Agent jobs in Colorado?

For Llm Agent jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Llm Agent jobs in Colorado look for?

The top searched job categories for Llm Agent jobs in Colorado are:

What cities in Colorado are hiring for Llm Agent jobs?

Cities in Colorado with the most Llm Agent job openings:

Llm Agent jobs near you

Sr. Machine Learning Engineer

AppFolio

CO

$107K - $147K/yr

Full-time

Re-posted 3 days ago

Key responsibilities

  • Design and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.

  • Make trade-offs between reasoning depth and latency across various LLM models and routing strategies.

  • Lead a small team of ML and platform engineers, and collaborate with Product and Voice channel teams to define KPIs and evaluate agent quality.

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 247 rated software companies

Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.
Qualifications
  • You have shipped production AI agents serving real users in voice and/or text channels.
  • You think in pipelines and systems, not just models.
  • You move fast, deliver impact, and maintain sound engineering judgment.
  • You are humble, collaborative, and low-ego, and you elevate those around you.
  • You value work-life balance as a foundation for sustained high performance.
Must Have
  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Nice to Have
  • Experience fine-tuning Small Language Models for domain-specific voice applications.
  • Familiarity with RAG over structured business data and tool-using agents over API surfaces.
  • Prior experience in regulated or customer-facing industries with strict reliability requirements.
  • Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.
Location
Find out more about our locations by visiting our site. 
All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process.
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: 167,200 - 209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.

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