Applied AI Engineer
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Summary
Designs, builds, and deploys enterprise-grade AI solutions on Microsoft Azure — generative AI, LLM applications, and secure agentic/RAG systems — using Python and ML frameworks, with MLOps/LLMOps practices and integrations to enterprise APIs and databases. The role is placed by staffing firm TheStaffed for their client, on-site in Broomfield, Colorado.
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