Senior Applied AI Engineer — Remote Platform & RAG

Page Mechanical Group, Inc.; Northern (KY); Hybrid; USD 110,000 - 180,000; Full time

Job summary

Gigapower LLC is seeking an Applied AI Engineer to join its AI organization.

You will build and operate the shared AI platform, reusable services, and cross-functional capabilities that power innovation across the enterprise, focusing on the application layer of AI, including retrieval-augmented generation (RAG), agents, orchestration frameworks, retrieval infrastructure, and internal tooling that enables scalable, secure, and cost-effective adoption of AI solutions across the enterprise.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related discipline.
• 3–5 years of software engineering experience, including hands-on building LLM-based applications.
• Strong proficiency in Python.
• Experience building and maintaining RAG systems, including embeddings, vector databases, retrieval architectures.
• Experience designing and deploying AI agents, orchestration frameworks, and production-grade AI applications.
• Experience deploying and operating services in cloud environments, preferably Microsoft Azure.
• Strong understanding of performance, scalability, reliability, and cost considerations for token-based AI systems.
• Working knowledge of SQL and geospatial datasets.

Responsibilities

• Build and operate Gigapower’s shared AI platform, including internal AI gateways, retrieval infrastructure, and reusable AI services.
• Design, develop, deploy, and support end-to-end LLM applications utilizing orchestration frameworks, agents, prompt engineering, retrieval systems, and evaluation methodologies.
• Build and maintain scalable RAG solutions leveraging structured, unstructured, and geospatial data sources.
• Develop reusable components, APIs, frameworks, and tooling that accelerate AI adoption across multiple teams and business functions.
• Deploy and operate AI workloads within Azure cloud environments utilizing containerized architectures and modern deployment practices.
• Partner with Embedded AI Engineers on complex, cross-functional initiatives that span multiple business domains.
• Monitor solution quality, adoption, cost efficiency, reliability, and business impact, continuously refining capabilities as needed.
• Implement best practices for AI governance, observability, evaluation, and operational excellence.
• Optimize AI systems for cost, performance, scalability, and maintainability.
• Utilize AI-powered tools to improve personal productivity and accelerate software development and innovation.

Skills

Python

LLM apps

Problem solving

Communication

Data analysis

Education

Bachelor's degree (CS/Engineering/DS)

Tools

Embeddings

Vector databases

Retrieval architectures

Azure cloud

Containerization

CI/CD

Job description

Gigapower LLC is seeking an Applied AI Engineer to join its AI organization.

You will build and operate the shared AI platform, reusable services, and cross-functional capabilities that power innovation across the enterprise, focusing on the application layer of AI, including retrieval-augmented generation (RAG), agents, orchestration frameworks, retrieval infrastructure, and internal tooling that enables scalable, secure, and cost-effective adoption of AI solutions across the enterprise.