The role involves building and deploying AI agents and LLM-integrated applications under minimal supervision to solve moderately complex to complex business challenges
Job Summary
The role involves building and deploying AI agents and LLM-integrated applications under minimal supervision to solve moderately complex to complex business challenges.
Candidates will design RAG architectures and integrate with major cloud model providers like AWS Bedrock and Azure OpenAI while ensuring AI security and ethical standards.
This position requires a strong engineering-first mindset with the ability to collaborate cross-functionally to integrate AI components into production systems.
Matching Summary
The role involves building and deploying AI agents and LLM-integrated applications under minimal supervision to solve moderately complex to complex business challenges.
Skills & Requirements
Must-have
Python or TypeScript backend development
LangChain LangGraph AutoGen CrewAI experience
RAG architecture and vector database management
AWS Bedrock Azure OpenAI integration
MCP server configuration and tool integrations
Nice-to-have
Experience in Media and Broadcast domain
Strong analytical and problem-solving skills
Knowledge of prompt injection mitigation
Experience with Docker containerization
Background in software engineering best practices
Key Requirements
BS/BA in Computer Science or equivalent experience
5+ years of software engineering experience
Applied AI or agent development experience preferred