DontApply.Club
Login Register

AI Software Engineer

Sana Commerce — Netherlands · Posted ~2 hours ago

Full-time

Skills

AI engineering LLM frameworks RAG AI agents Dynamic workflows AI evaluation LLMOps AI observability Deployment Monitoring LangChain AWS Bedrock Microsoft Foundry

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

Join a cross-functional engineering team building AI-powered features that operate on real-world commerce data. You will design and develop RAG systems, AI agents, and dynamic workflows using modern LLM frameworks and toolchains. The role spans context and tool design, evaluation, deployment, observability, and continuous improvement, with a strong emphasis on measurable quality, failure recovery, and reliable production AI.

Highlights

Build AI-powered features that operate on real commerce data and contribute across the full AI engineering lifecycle. The role covers RAG, AI agents, evaluation systems, recovery workflows, LLMOps, observability, deployment, and continuous improvement in a cross-functional environment.

Description

Job DescriptionWhat you'll be doing Design, develop, and deliver AI-powered features in Sana Commerce – agents that act on real commerce data (catalog, pricing, inventory, orders)Work with modern LLM frameworks and toolchains (e.g. any of Lang*, AWS Bedrock, MS Foundry, Cloudfare Agents, etc…)[VL1.1] to build RAG systems, AI Agents, and dynamic workflows – while understanding the raw agentic loop underneath themWork in a cross-functional team (Engineering, Product, Design) to integrate AI seamlessly into a distributed productApply solid AI engineering principles end to end, from context and tool design through evaluation, deployment and continuous improvementBuild the eval and feedback loops that gate releases: curated datasets, metrics and thresholds that block a regression the way a failing test doesDesign for failure by building the recovery path before the happy pathContribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelinesStay on top of emerging AI tools and frameworks, helping shape the vision and roadmap of Sana Commerce