Job Description
Design, build, and scale production‑grade AI systems, including autonomous AI agents, for Lab37’s innovation and enterprise AI platforms.
Work on Agentic AI, GenAI, Knowledge Graph–driven systems, and data intelligence layers, leveraging Microsoft Foundry as the core AI platform, across customer, operations, and commercial airline use cases.
Contribute end‑to‑end—from problem discovery and prototype to enterprise‑scale production deployment.
Key Responsibilities
Design and implement autonomous AI systems including decision agents, workflow agents, and self‑orchestrating AI components.
Build and manage knowledge graphs and data intelligence layers to enable contextual reasoning, semantic search, and intelligent decision‑making.
Develop and deploy AI solutions using Microsoft Foundry for model lifecycle management, orchestration, and enterprise integration.
Develop Agentic AI solutions that leverage structured and unstructured data for real‑time insights.
Design and implement AI/ML and GenAI solutions aligned with Lab37’s roadmap and airline business priorities.
Build robust APIs and backend services for AI models using Python and FastAPI.
Integrate AI solutions with enterprise systems, internal platforms, and cloud services.
Ensure scalability, reliability, security, governance, and cost efficiency of AI services.
Collaborate with product, data, and platform teams to move ideas from POC → MVP → Production.
Requirements & Experience
Programming: Strong proficiency in Python.
AI / ML: Hands‑on experience with autonomous AI, Agentic AI systems, LLMs, and GenAI.
Microsoft AI Ecosystem: Strong hands‑on experience across the Microsoft AI ecosystem, including Microsoft Foundry, Azure AI Services, Azure OpenAI, and Azure ML.
Knowledge Graphs & Data Intelligence: Experience working with knowledge graphs, embeddings, semantic layers, and data intelligence platforms.
Frameworks & Tools: FastAPI, LangChain or equivalent GenAI frameworks.
Cloud: Practical experience with Microsoft Azure (Azure ML, Azure AI services preferred).
APIs & Integration: REST APIs, event‑driven or microservices‑based architectures.
Qualifications
Bachelor’s in Engineering or Mathematics with strong AI/ML experience.