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 integration
RAG architectures and vector databases
Cloud model provider integration
AI evaluation and observability
Software engineering best practices
Nice-to-have
Media and Broadcast domain experience
Collaboration across teams
Prototyping and validation support
Key Requirements
5+ years of software engineering experience
Hands-on experience with agent frameworks
Understanding of RAG implementations
Working knowledge of MCP or equivalent
Experience with major cloud AI services
Proficiency in Python or TypeScript/Node.js
Familiarity with REST APIs, Docker, cloud deployment