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Applied AI Engineer
RIT Solutions
2 hours ago
Full-time
On-site
Broomfield, Colorado, United States
Applied AI Engineer
Location: Broomfield, CO Work Arrangement: 3 days Hybrid - locals only Duration: 6-Month Contract Experience Range: 7-10 years 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
Location: Broomfield, CO Work Arrangement: 3 days Hybrid - locals only Duration: 6-Month Contract Experience Range: 7-10 years 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