WITS Experiential · 15 hours ago
AI Developer
WITS America, Corp. is seeking a highly skilled and innovative AI Developer to join their Core AI service team. The ideal candidate will be responsible for designing, developing, and scaling AI enabling platform services and public APIs, collaborating with cross-functional teams to deliver end-to-end solutions.
Digital EntertainmentMedia and Entertainment
Responsibilities
Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability
Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers
Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs
Embed robust security controls to protect sensitive data and ensure secure access to Al services
Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence
Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation
Work with multiple teams to create Al solutions, which include Al model deployment, training, and Al tooling development
Qualification
Required
10+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies
Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management)
Strong expertise in RESTful API design, versioning, testing, and lifecycle management
Proficient in securing APIs, managing authentication/authorization and data privacy practices
Excellent problem-solving skills, with the ability to analyze complex technical challenges and propose scalable solutions
Experience working in Agile teams and collaborating across global R&D locations
Demonstrated ability to mentor junior team members, fostering a culture of continuous learning and innovation
Demonstrated experience with AI frameworks, tools and Python
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)
Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning)
Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development
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, including tools like AI Foundry and/or Semantic Kernel
Experience with tools for automated testing and evaluation of AI outputs is a plus
Experience in Python and AI frameworks/tools such as PyTorch and TensorFlow
Preferred
Relocate before starting work (Preferred)
Benefits
Dental insurance
Health insurance
Paid time off
Retirement plan