AI Engineer

• Own the technical design and architecture of GenAI agent workflows within the Business Pod
• Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools
• Lead code and design reviews, ensuring alignment with architectural standards and platform best practices
• Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns
• Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI
• Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution
• Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues
• Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic
• Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques
• Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling
• Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback
• Contribute to the automation of testing, deployment, and validation pipelines for AI agents
• Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer

AI Engineer

AI Engineer

AI Engineer – RAG, Agents

Senior AI Engineer – RAG, LLMs