GenAI / Agentic AI Engineer building AI solutions at TD using Azure OpenAI and Python. Collaborating with product teams to implement reliable GenAI capabilities.
Responsibilities
Build, harden, and operate AI solutions built using Azure OpenAI and Python
Implement RAG pipelines, prompt chains, evaluation tests, and secure service integrations to build end-to-end Gen AI solutions
Collaborate with product, architects, and risk partners to ship reliable, responsible GenAI and Agentic AI capabilities
Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements
Provides technical expertise with a focus on efficiency, reliability, scalability, and security
Requirements
Bachelor's or Graduate degree
7+ years relevant experience
2+ years of experience developing and deploying AI-enabled applications, such as LLMs, RAG, GraphRAG and agentic workflows
7+ years of direct experience with Python and other applicable programming languages
Hands-on with Azure OpenAI (completions/chat), embeddings, vector search (Azure AI Search or similar), and RAG basics
Comfort with Git, CI/CD, and monitoring
Experience with LangChain, LangGraph, AKS
Familiarity with enterprise auth (OAuth2/PingFed), APIM, and secret management (Key Vault)
Understanding of responsible AI guardrails
Experience in building backend services and APIs that orchestrate LLM prompts, retrieval, and post-processing with Azure OpenAI and Azure AI Search
Benefits
Base salary and variable compensation/incentive awards
Health and well-being benefits
Savings and retirement programs
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
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