AI Software Engineer
$103,500–$172,500 year
HybridLake Forest, California, United States
Lake Forest, California, United StatesHybridFull Time$103,500–$172,500 yearConstruction SoftwareLarge
Full TimeLargeConstruction Software
Job Summary
Design, develop, and scale secure, cloud-native AI platform services and public APIs on Microsoft Azure for internal and external consumption. Collaborate with cross-functional teams to build end-to-end solutions covering AI model deployment, training, tooling, and orchestration while embedding robust security controls and data privacy practices. Leverage prompt engineering and agentic frameworks to drive rapid prototyping and continuous improvement within a Scrum team.
Required Qualifications
- Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability
- Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling
- Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A)
- Fluent in developing code using AI Tools such as GitHub Copilot
- Must be able to use prompt engineering to carry out multiple development tasks
- Familiar with AI orchestration and agentic frameworks
- Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow
- Experience with tools for automated testing and evaluation of AI outputs
- Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions
- Must be able to lift 50 lbs
Desired Qualifications
- Extensive experience in software engineering, preferably in platform or cloud-native service development (using Microsoft and .NET technologies a bonus)
- Strong expertise in RESTful API design, versioning, testing, and lifecycle management
- Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning)
- Proficient in securing APIs, managing authentication/authorization and data privacy practices
- Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management) preferred; experience with other cloud platform (AWS, GCP) is also valued
- Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development
- Experience working in Agile teams and collaborating across global R&D locations
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