Senior AI Engineer

SWITS DIGITAL Private Limited • Contract • Orlando, FL, US • 1m ago

Title: Senior AI Engineer

Location: 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.

Responsibilities

Minimum Education and/or Experience:

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.

Additional Knowledge And Skills

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).

Tech Stack & Skill Requirements

AI/ML Frameworks: LangChain, LlamaIndex, 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), TypeScript/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)