AI Engineer Job in Denver, CO, W2, Immediate Interviews

Hybrid in Denver, CO, US • Posted 30+ days ago • Updated 5 days ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Cloud Computing
  • Generative Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Open Source
  • Python
  • Prompt Engineering
  • Streaming
  • Semantics
  • Amazon Web Services
  • Java
  • Unstructured Data
  • Terraform
  • Video
  • machine learning
  • AI/ML
  • ML
  • JavaScript
  • Flask
  • Regulatory Compliance
  • Docker
  • Cloud Security
  • Software Development
  • Optimization
  • Performance Tuning
  • Scalability
  • React.js

Summary

AI Engineer Job in Denver, CO – W2 – Immediate Interviews

General Information:
Title: AI Engineer 
Work location: Denver, CO
Work location: Day one – Onsite Job
Priority: High
Visa: Open
Interviews: 2 video calls
Pay-terms: W2 only
Rate: $40/hr - Slightly negotiable.

Job Summary
We are seeking a highly skilled AI Engineer with strong expertise in Python, AWS Bedrock, and Large Language Models (LLMs) to design, develop, and deploy intelligent AI-powered applications. The ideal candidate will work on building scalable AI solutions using foundation models, prompt engineering, retrieval-augmented generation (RAG), and cloud-native architectures on AWS.

KEYWORDS: AI Engineer with Python, AWS bedrock, Java, LLM, Generative AI, Open AI
 
Generative AI, Open AI
Key Responsibilities
Design, build, and optimize LLM-based applications using AWS Bedrock (Claude, Titan, Llama, etc.), Implement prompt engineering, prompt templates, and prompt optimization strategies
Fine-tune, evaluate, and benchmark LLM outputs for accuracy, relevance, and safety
Develop robust backend services using Python (FastAPI / Flask)
Build APIs to expose AI/LLM functionalities to frontend and external systems
Implement asynchronous processing and streaming responses for LLM applications
Write clean, maintainable, and well-tested Python code
Architect and deploy AI services on AWS, leveraging: AWS Bedrock
Implement document ingestion, chunking, embedding generation, and semantic search
Integrate structured and unstructured data sources into LLM workflows
Implement model monitoring, logging, and observability for LLM applications
Track hallucinations, response quality, latency, and usage metrics
Collaborate with cross-functional teams to translate business needs into AI solutions
Stay up-to-date with the latest advancements in LLMs, GenAI, and AWS AI services
Contribute to architectural decisions and AI best practices

Required Skills & Qualifications
Strong proficiency in Python
Hands-on experience with AWS Bedrock
Solid understanding of Large Language Models (LLMs) and Generative AI
Understanding of cloud security, scalability, and performance optimization
4+ years of software development experience (AI/ML preferred)
3+ year of hands-on experience working with LLMs or GenAI solutions
Experience deploying production-grade AI systems, Experience with Generative AI, Open AI

Nice to Have (Preferred Skills)
Experience with OpenAI, Anthropic, or open-source LLMs
Knowledge of Docker, Terraform, or Infrastructure as Code
Experience with frontend integration (React, Next.js)
Familiarity with AI safety, guardrails, and compliance standards


Best Regards,
Neeth Ch
Business Communications - PeopleNTech LLC
2800 Eisenhower Ave., Suite 260, Alexandria, VA 22314
+1    
  

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10302987
  • Position Id: 8865306
  • Posted 30+ days ago
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