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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement end-to-end AI agents and workflows utilizing large language models in production environments.
Develop AI architecture patterns such as RAG, text-to-SQL, and multi-agent systems, and deploy solutions on cloud platforms like Azure OpenAI or AWS Bedrock.
Manage observability, monitoring, and automation of AI model deployment using CI/CD pipelines to optimize performance, reliability, and cost.
Minimum Requirements
Strong proficiency in Python programming for AI/ML development.
Hands-on experience with AI frameworks like LangChain, LangGraph, or similar.
Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience building and deploying production-grade AI solutions involving LLMs and agentic workflows in cloud environments.
Demonstrated knowledge of prompt engineering and advanced AI agent techniques.
Comfortable working in Agile/Scrum teams with strong software development best practices, including Git version control.