AI Workflow Engineer (Internal facing)
Role responsibilities
Build and deploy internal AI tools and automations across various business functions to drive measurable KPI improvements. Architect the company's AI platform layer, including evaluation frameworks, retrieval stacks, and model gateways, while managing autonomous coding agents.
Requirements
Requires over 8 years of software engineering experience with at least 4 years focused on shipping AI-powered production tools. Must be highly proficient in agentic coding workflows and have experience embedding with non-engineering teams to solve business problems.
Key skills
AI Workflow Engineering, Software Engineering, LLM APIs, RAG, Prompt Design, Agentic Tooling, Multi-agent Workflows, Claude Code, Devin, AI Governance, AI FinOps, Vector Infrastructure, Function Calling, Prompt Caching, Software Architecture, Python
Keywords
AI-native, R&D, LLM, Anthropic, OpenAI, Claude Code, Devin, Aider, RAG, Function Calling, Prompt Engineering, AI Agents, MCP Servers, Vector Infrastructure, AI FinOps, SaaS, Software Development, AI Governance, Data Handling, Prompt-injection Defense