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About the role
4+ years in ML or LLM systems engineering Deep production experience with Anthropic Claude or OpenAI APIs Prompt engineering as a discipline: versioned prompts, A/B comparisons, eval harnesses RAG patterns: embeddings, vector search, retrieval ranking, citation enforcement Structured-output enforcement (JSON schema / Zod on LLM responses) Hands on experience using Python or TypeScript Eval frameworks: promptfoo, ragas, deepeval, LangSmith, or custom Cost optimization for LLM APIs (caching, prompt distillation, batch jobs Owns deep LLM systems work production-maturity Claude integration inside the Hub (eval harnesses, drift detection, sanity bounds, cost guardrails) Partners with the upstream Industry Strategy team on productizing the synthetic-PM / RAG pipeline that authors the 160-use-case FDE catalog (scheduled runs, deterministic outputs, drift monitoring, change-review flow). We are seeking a Senior Software Engineer to design, develop, and deliver high-quality software solutions across our cloud product portfolio. As a critical member of our agile engineering team, you will drive technical excellence, mentor junior engineers, and contribute to the evolution of Infor s next-generation applications. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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