Senior AI Engineer

Senior AI Engineer - Orlando, FL (hybrid)

Job Description

• Evaluate AI Solutions:
  Analyze and benchmark AI platforms, LLMs, and agent frameworks for enterprise use.
• Build Agentic Models:
  Design and develop AI agents capable of reasoning, planning, and executing multi‑step tasks.
• Engineer LLM Applications:
  Develop fine‑tuned and optimized large language model applications with retrieval‑augmented generation (RAG) pipelines.
• Integrate with Enterprise Platforms:
  Embed AI capabilities into OMS, CRM, loyalty, and digital platforms, ensuring seamless user and operational experiences.
• Establish AI Engineering Practices:
  Define standards for AI model deployment, observability, safety, and compliance.
• Collaborate Across Teams:
  Partner with Product, Digital Engineering, and Data Science to co‑create AI‑powered features and workflows.
• Governance & Security:
  Implement guardrails, privacy protections, and compliance controls for AI‑enabled applications.
• Lead & Mentor:
  Guide a team of AI engineers and contribute to the enterprise AI strategy while remaining hands‑on in technical delivery.

• Bachelor’s degree in Computer Science, Engineering, or related field;
  Master’s or PhD preferred.
• 8 years of professional experience in software engineering, AI/ML, or data platforms.

• Proven expertise in building and deploying LLM‑powered applications and agentic AI models.
• Hands‑on experience with RAG pipelines, embeddings, and vector search in production.
• Strong understanding of cloud‑native AI services (Azure preferred).
• Experience guiding teams, delivering complex AI projects, and driving innovation.
• Experience with multimodal AI (vision, speech, structured data).
• Background in AI governance, responsible AI, or applied ethics.
• Publications, patents, or open‑source contributions in AI/ML.
• Familiarity with aviation, logistics, or operational technology domains.
• Background in regulated industries (aviation, logistics, finance, or hospitality).

• AI/ML Frameworks:
  Lang Chain, Llama Index, Semantic Kernel, Hugging Face.
• LLMs:
  OpenAI GPT, Anthropic Claude, LLaMA, Falcon, or similar.
• Vector Databases:
  Pinecone, Weaviate, Redis Vector, or Azure Cognitive Search.
• Programming
  
  Languages:
  
  Python (preferred), Type Script/Node.js for integrations.
• Cloud Platforms:
  Azure AI/ML services, Azure OpenAI, AWS Bedrock, or GCP Vertex AI.
• MLOps: MLflow, Azure Machine Learning, or equivalent model lifecycle tools.
• Observability:
  Langfuse, Weights & Biases, Application Insights for model monitoring.
• Security: OAuth 2.0, RBAC, data privacy, compliance frameworks (GDPR, PCI)