AI Infrastructure & Platform Engineer
On-siteDelray Beach, Florida, United States
Delray Beach, Florida, United StatesOn-siteFull TimeSmall
Full TimeSmall
Job Summary
Design and build the internal AI platform, developing AI-powered workflows and integrations while evaluating when to leverage third-party technologies versus internal development. Manage secure, reliable production deployments of LLMs and generative AI systems, maintaining APIs and integrations across cloud platforms and data sources. Serve as an internal advocate for AI adoption by explaining technical concepts to both technical and non-technical audiences. Work with external technology partners to expand organizational AI capabilities and champion new technologies across the company.
Required Qualifications
- 5+ years of professional experience in software development, cloud infrastructure, platform engineering, MLOps, DevOps, or a related technical field.
- Strong software development fundamentals with experience building, deploying, and supporting production applications or services.
- Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
- Experience with modern software deployment practices, including CI/CD and development, staging, and production environments.
- Experience developing and maintaining APIs and integrations between applications, cloud platforms, data sources, and third-party services.
- Hands-on familiarity with modern AI technologies, LLMs, generative AI, and production AI/ML systems.
- Understanding of application, infrastructure, and data security best practices.
- Strong written and verbal English communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Resourceful, collaborative, and comfortable working independently in an evolving technical environment.
- Ability to champion new technologies and work effectively across the organization to support AI adoption.
Desired Qualifications
- Experience with AI agents, RAG, vector databases, AI orchestration frameworks, or LLM-powered workflows.
- Experience with cloud-native and infrastructure technologies such as Docker, Kubernetes, Terraform, or similar tools.
- Familiarity with Model Context Protocol (MCP) or similar AI integration standards.
- Experience with technologies such as Anthropic Claude, OpenAI, Google Gemini, Hugging Face, LangChain, LangGraph, or comparable AI platforms and frameworks.
- Experience customizing, fine-tuning, or deploying private or domain-specific language models.
- Experience working with sensitive financial, trading, or other regulated data.
- Familiarity with SOC 2 or similar security, compliance, and data governance frameworks.
- Full-stack development experience is a plus.
- Relevant cloud or AI certifications are a plus.
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