Senior Engineer, AI Platforms

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.
• 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: Lang Chain, Llama Index, 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);
  Type Script/Node.js for integrations.
• Security & Compliance: Familiarity with OAuth 2.0, RBAC, and data privacy principles.
• Security: OAuth 2.0, RBAC, data privacy, compliance frameworks (GDPR, PCI).