• Senior Engineer, AI Platforms

    Signature Aviation (Orlando, FL)


    At Signature Aviation, we are modernizing operations and customer experiences through technology and AI. We are seeking a Senior Engineer – AI Platforms to help design, build, and implement AI-driven solutions that support intelligent automation, predictive insights, and AI-enabled workflows. In this role, you will contribute to the development of LLM-based applications and AI integrations across enterprise platforms, partnering closely with architects, product teams, and data teams to deliver secure, scalable, and responsible AI solutions.

     

    + **Evaluate AI Technologies:** Support the assessment and proof-of-concept evaluation of AI platforms, LLMs, and agent frameworks for enterprise use.

    + **Develop AI Agents & Workflows:** Build and enhance AI agents capable of supporting multi-step reasoning, automation, and task execution under established architectural patterns.

    + **Engineer LLM Applications:** Design and implement LLM-based applications, including retrieval-augmented generation (RAG) pipelines, prompt engineering, and model optimization.

    + **Integrate with Enterprise Platforms:** Contribute to embedding AI capabilities into OMS, CRM, loyalty, and digital platforms in partnership with engineering and product teams.

    + **Apply AI Engineering Standards:** Follow established practices for AI model deployment, monitoring, safety, and compliance.

    + **Cross-Functional Collaboration:** Work closely with Product, Digital Engineering, and Data Science teams to deliver AI-powered features and enhancements.

    + **Responsible AI & Security:** Adhere to AI governance, privacy, and security controls when developing and deploying AI solutions.

    + **Mentorship & Knowledge Sharing:** Provide informal mentorship to junior engineers and share best practices, while remaining primarily focused on hands-on delivery.

    Minimum Education and/or Experience:

    + Bachelor’s degree in Computer Science, Engineering, or a related field.

    + **5+ years** of professional experience in software engineering, AI/ML, or data-driven platforms.

    Additional knowledge and skills:

    + Hands-on experience building and deploying LLM-powered applications in production or near-production environments.

    + Working knowledge of RAG pipelines, embeddings, and vector search technologies.

    + Experience developing cloud-based AI solutions (Azure preferred).

    + Strong software engineering fundamentals and ability to deliver production-quality code.

    + Familiarity with responsible AI concepts, data privacy, and secure system design.

    + Exposure to regulated or operationally complex environments is a plus.

    Tech Stack & Skill Requirements:

    + **AI/ML Frameworks:** LangChain, LlamaIndex, Semantic Kernel, Hugging Face (or similar).

    + **LLMs:** OpenAI GPT, Anthropic Claude, LLaMA, Falcon, or comparable models.

    + **Vector Databases:** Pinecone, Weaviate, Redis Vector, Azure Cognitive Search.

    + **Programming Languages:** Python (preferred); TypeScript/Node.js for integrations.

    + **Cloud Platforms:** Azure AI/ML services, Azure OpenAI, AWS Bedrock, or GCP Vertex AI.

    + **MLOps & Monitoring:** MLflow, Azure Machine Learning, Langfuse, or similar tools.

    + **Security & Compliance:** Familiarity with OAuth 2.0, RBAC, and data privacy principles.

    + **Security:** OAuth 2.0, RBAC, data privacy, compliance frameworks (GDPR, PCI).