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Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph)
Basic Knowledge of model context protocols, RAG architectures, and embedding techniques
Experience with model evaluation frameworks and metrics for LLM performance
Proficiency in frontend development with React.js for AI applications
Experience with UI/UX design patterns specific to AI interfaces
Experience with vector databases and efficient retrieval methods
Knowledge of prompt engineering techniques and best practices
Experience with containerization and microservices architecture
Strong understanding of semantic search and document retrieval systems
Working knowledge of both structured and unstructured data processing
Experience with version control using GitHub and CI/CD pipelines
Experience working with globally distributed teams in Agile scrums
Experience with Google ADK & A2A (preferred but not mandatory) AutoGen, and OpenAI APIs
Experience with GCP Vertex AI & Azure AI Foundry preferred.
Experience with LLM inferencing (eg.vLLM) preferred
Strong verbal and written communication skills
Job Expectations
Understanding of enterprise use cases for Generative AI
Knowledge of responsible AI practices and ethical considerations
Ability to optimize AI solutions for performance and cost
Well versed in MLOps concepts for LLM applications
Staying current with rapidly evolving Gen AI technologies and best practices
Experience implementing security best practices for AI applications
Job ID: 142728405