Artificial Intelligence Engineer
GAC Solutions Inc.
Lutz, FL, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Java (Programming Language)
.NET Framework
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
C Sharp (Programming Language)
Cloud Engineering
Python (Programming Language)
Node.Js
NoSQL
+23 more
Platform as a Service (PAAS)
OpenAI
Tensorflow
Microsoft Copilot
Azure Machine Learning
Software Engineering
SQL Databases
Systems Integration
Pytorch
LangChain
ReactJS
Retrieval-Augmented Generation
Open-source Models
Large Language Models
Multi-Agent Systems
Prompt Engineering
Model Validation
Generative AI
Agentic-AI
AI Platforms
AngularJS
Virtual Agents
Microservices
Requirements
- Experience building, delivering, or supporting AI-enabled solutions using Large Language Models (LLMs), Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), vector databases, AI orchestration frameworks, or related AI technologies in enterprise environments.
- Understanding of Responsible AI principles, including AI governance, security, privacy, transparency, human oversight, and model evaluation best practices.
- Demonstrated ability to effectively leverage AI tools and assistants to improve individual productivity, accelerate delivery, enhance decision-making, automate routine tasks, and improve quality across day-to-day work activities.
- Strong AI literacy, including the ability to evaluate AI-generated outputs, apply critical thinking and human judgment, and identify appropriate use cases for AI-driven solutions.
- Preferred: Hands-on experience with Python and/or .NET technologies for developing, integrating, and operationalizing AI-enabled applications and services.
-
Continuous learner with a passion for staying current on emerging AI technologies, practices, and industry trends. *Preferred Skills (Recommended for All Engineering-Focused Applied AI Roles)
- Experience with Python, .NET, cloud-native application development, APIs, microservices, and modern software engineering practices.
- Experience with Azure OpenAI, Azure AI Foundry, Microsoft Copilot technologies, AI orchestration frameworks, vector databases, and enterprise AI platforms.
- Experience developing, integrating, deploying, or operating AI-enabled applications in Azure cloud environments.
- 6+ years of full-stack software engineering experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit and integration testing frameworks.
- 3+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
- 3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability)
- Prior experience in establishing engineering standards, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards.
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
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Prepare application
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