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Python Llm Jobs in Littleton, CO (NOW HIRING)

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 ... Python, or similar). • Active AWS certification and demonstrated knowledge of AWS services. • ...

Litera

LLM Ops Engineer

Denver, CO · Hybrid

$105K - $130K/yr

As an LLM Ops Engineer, you will create the secure, scalable, and reliable foundation that allows ... Strong Python programming skills with experience developing and supporting scalable systems.

Litera

LLM Ops Engineer

Denver, CO · On-site

$105K - $130K/yr

As an LLM Ops Engineer, you will create the secure, scalable, and reliable foundation that allows ... Strong Python programming skills with experience developing and supporting scalable systems.

InterSources Inc

Lead Data Insight Analyst

Denver, CO · On-site

... applying LLM capabilities. • Ensure rapid turnaround on deliverables -- Execute assignments ... Python basics | Secondary: R or scripting) • Maintain strong task ownership -- Track and complete ...

Palnar

ONLY W2 | AI Engineer@ Denver, Co

Denver, CO · On-site

Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...

Programmers.io

AI Engineer

Denver, CO · On-site

Key Requirements: * AI/ML development * Python and AI frameworks * LLM integration and prompting * APIs and pipelines * Collaboration skills Responsibilities: * Develop AI systems * Integrate ...

Themesoft, Inc.

Remote_QA tester-AI Agentic

Denver, CO · On-site

Denver, CO Skills: QA/Test Engineering experience Must have- Experience testing Generative AI, LLM ... Proficiency in Python. • Understanding of AI evaluation metrics and testing methodologies ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python llm in Littleton, CO is $58.72, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.68 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Littleton, CO? For Python Llm jobs in Littleton, CO, the most frequently searched job titles are:
What cities near Littleton, CO are hiring for Python Llm jobs? Cities near Littleton, CO with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Littleton, CO as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 7% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $122,136 per year, or $58.7 per hour.

Technology Lead | OpenSystem | Python - OpenSystem

Spruce Infotech

Englewood, CO • On-site

$138K - $169K/yr

Full-time

Posted 16 hours ago

Posted today

Job description

Job title: AI Engineer (CAN submit Visa dependent profiles)
Work Location: Denver(CO)
Vendor Rate: XXX USD
Minimum years of experience: 8 TO 10
Would you require the candidates to meet you for in person interview? NO
Is Skype/WebEx interview,OK? OK
Is this onsite/remote position: ONSITE
If onsite, will you be considering relocation candidates: Yes
Does this position require Visa independent candidates only? No
Job Description:
Role Overview
We are looking for a Senior AI / GenAI Engineer with strong experience in production-grade ML systems, Generative AI (LLMs, RAG, Agents), and enterprise automation. The ideal candidate will have hands-on expertise in deploying scalable AI systems, ensuring reliability, monitoring, and governance, and working across domains such as healthcare or enterprise IT operations.
Key Responsibilities
1. GenAI & LLM Engineering
Design and implement RAG pipelines using vector stores (Pinecone, FAISS, etc.)
Build and deploy LLM-based applications using OpenAI, Claude, LLaMA, or similar
Develop multi-agent systems (LangChain, LangGraph, CrewAI, Autogen)
Optimize prompts, retrieval strategies, and model performance for production use
2. ML Engineering & Data Science
Build and deploy ML models across:
Classification, Regression, NLP, Time-series, and Anomaly Detection
Perform EDA, feature engineering, and experiment design
Implement A/B testing frameworks and performance evaluation pipelines
3. MLOps & Productionization
Implement end-to-end ML lifecycle:
Model training, testing, deployment, monitoring, and rollback
Use tools like MLflow, CI/CD pipelines (GitHub Actions/Azure DevOps)
Ensure model versioning, reproducibility, and governance
Manage online & batch inference systems
4. Observability & Reliability
Build monitoring systems for:
Model drift
Performance degradation
Hallucination detection in LLMs
Define incident response and rollback strategies
Maintain dashboards and alerting frameworks
5. AI Safety & Compliance
Implement AI guardrails:
PII/PHI detection
Content filtering
Prompt injection defense
Ensure compliance with regulatory standards (e.g., HIPAA)
6. Cloud & Infrastructure
Deploy solutions on AWS, GCP, or Azure
AWS Bedrock, SageMaker
GCP Vertex AI
Azure OpenAI / AI Foundry
Build scalable infra using Docker, Kubernetes, Terraform
7. Enterprise Automation (RPA Integration)
Design and support RPA workflows using Automation Anywhere / UiPath
Integrate AI/ML models into automation pipelines
Manage bot lifecycle, orchestration, and governance
8. Collaboration & Leadership
Work with product, data, and engineering teams to deliver scalable solutions
Mentor junior engineers and review technical designs
Create documentation (PDDs, SDDs, architecture designs)
Required Skills
Core Technical Skills
Strong Python development (FastAPI, ML libraries)
ML frameworks: PyTorch / TensorFlow / Scikit-learn
GenAI stack: OpenAI, Claude, LLaMA, Hugging Face
RAG systems and vector databases (Pinecone, FAISS, etc.)
MLOps & Systems
MLflow, model registry, CI/CD pipelines
Experiment tracking and automated testing
Deployment patterns (batch + real-time inference)
Data & APIs
SQL, REST/SOAP APIs
Experience with enterprise systems (SAP, Salesforce, etc. is a plus)
Nice to Have
Healthcare domain experience (HIPAA compliance, clinical or claims data)
Experience with agentic workflows & human-in-the-loop systems
Hands-on experience in cost optimization for LLM workloads
RPA certifications (Automation Anywhere / UiPath)
Project Code: SDIT Nebula Dev amp Support

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