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Applied AI Engineer

Broomfield, CO, US • Posted 1 day ago • Updated 6 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

PyTorch
TensorFlow
scikit-learn
Evaluation
Optimization
Prompt Engineering
Workflow
Database
Messaging
Cloud Computing
Software Engineering
Data Science
Python
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Vector Databases
API Management
Microsoft Azure
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Microservices
SQL
Database Design
PostgreSQL
Fluency
English
Technical Communication
Collaboration
Artificial Intelligence

PyTorch
TensorFlow
scikit-learn
Evaluation
Optimization
Prompt Engineering
Workflow
Database
Messaging
Cloud Computing
Software Engineering
Data Science
Python
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Vector Databases
API Management
Microsoft Azure
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Microservices
SQL
Database Design
PostgreSQL
Fluency
English
Technical Communication
Collaboration
Artificial Intelligence

Summary

Our client is seeking an Applied AI Engineer with 7-10 years of experience to design, build, and deploy enterprise-grade AI solutions, including generative AI and LLM-based applications, within a Microsoft Azure environment.

Responsibilities & Qualifications

Design, build, evaluate, and deploy AI-enabled solutions for business-critical applications using Python, PyTorch, TensorFlow, and scikit-learn
Develop and deploy machine learning models with strong emphasis on model evaluation for accuracy, reliability, hallucination mitigation, latency, and cost optimization
Build generative AI and LLM-based applications, including AI agents and Retrieval-Augmented Generation (RAG) systems with prompt engineering expertise
Design secure agentic AI solutions that interact safely with enterprise systems, incorporating guardrails, validation, retries, approval workflows, and human oversight
Integrate AI solutions with enterprise APIs, databases (PostgreSQL), and Azure messaging systems (Service Bus, Event Hubs)
Collaborate with cloud and platform engineering teams to productionize AI solutions, implementing MLOps and LLMOps best practices
Translate operational problems into practical, enterprise-integrated AI solutions aligned with business objectives

Requirements

7-10 years of software engineering or data science experience with demonstrated expertise in Python and machine learning frameworks
Strong proficiency in generative AI, LLM applications, embeddings, vector databases, and agentic AI solutions
Hands-on experience with Microsoft Azure services: Azure OpenAI, Azure AI Services, Azure API Management, Azure Service Bus, Event Hubs, PostgreSQL, Entra ID, Key Vault, Monitor, and Application Insights
Advanced knowledge of machine learning operations (MLOps, LLMOps), CI/CD pipelines, REST APIs, and microservices architecture
Expert-level SQL and database design with PostgreSQL experience
Fluent English proficiency for technical communication and cross-team collaboration
Portfolio or proven track record demonstrating end-to-end AI solution delivery in enterprise environments

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: 91166607
Position Id: 7ab9300979d60a217226d79dfe3ccd26
Posted 1 day ago

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