Participate in AI solution architecture discussions and contribute hands-on to technical design and implementation
Job Summary
Participate in AI solution architecture discussions and contribute hands-on to technical design and implementation.
Develop and deploy AI agents and LLM-integrated applications under minimal supervision, utilizing structured outputs and function/tool calling patterns.
Adhere to company standards for AI security, ethics, and responsible use, with a focus on mitigating prompt injection and PII leakage.
Matching Summary
Participate in AI solution architecture discussions and contribute hands-on to technical design and implementation.
Skills & Requirements
Must-have
AI solution architecture
AI agents and LLM-integrated applications
RAG architectures and vector databases
Cloud model provider integration
Software engineering best practices
Python and/or TypeScript/Node.js
Nice-to-have
Applied AI engineering expertise
Media and Broadcast domain experience
Cross-functional team collaboration
Engineering-first mindset
Key Requirements
5+ years of experience in software engineering
Hands-on experience with agent frameworks
Understanding of RAG implementations
Working knowledge of MCP or equivalent
Experience with major cloud AI services
Familiarity with REST APIs, Docker, cloud deployment