Job Specifications
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)
About the Company
At SWITS Digital Private Limited, we are driven by innovation, integrity, and a commitment to empowering businesses through technology. As a fast-growing company, we specialize in designing and developing cutting-edge products and services tailored to meet the unique needs of our clients.
Who We Are
Innovators at Heart: We thrive on turning ideas into impactful solutions that drive tangible results.
Tech Visionaries: Our expertise spans web application development, AI-driven solutions, and digital transformation.
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