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AI Engineer

đŸ”„ 9 minutes ago

đŸ‡ȘđŸ‡ș Europe – Remote

⏰ Full Time

🟱 Junior

🟡 Mid-level

đŸ€– AI Engineer

đŸš«đŸ‘šâ€đŸŽ“ No degree required

Where this job comes from

Posted on TextYess's careers page, not through a job board

First seen by Remote Rocketship 9 minutes ago

Logo of TextYess

TextYess

11 - 50 employees

Founded 2023

☁ SaaS

đŸ›ïž eCommerce

đŸ€– Artificial Intelligence

SaaS ‱ eCommerce ‱ Artificial Intelligence

TextYess is an autonomous CRM platform for ecommerce brands. It provides a SaaS product that uses AI agents to run customer relationship workflows across email, WhatsApp and a brand's website, automating segmentation, copywriting, design, scheduling and campaign optimization while following brand guardrails and strategy. The company positions itself to increase CRM-driven revenue and reduce manual work for marketing teams — it has raised €4M to build the product.

📋 Description

‱ Build the agentic runtime for proactive AI agents ‱ Develop context-building, tool/retrieval orchestration, scoring, and guardrail components ‱ Own production components from day one ‱ Improve grounding and product-availability accuracy through retrieval, prompting, and evaluation ‱ Combine exact-match and semantic search in a single ranking system ‱ Improve multilingual response quality across Italian, English, and other languages ‱ Profile requests and optimize latency and cost ‱ Test prompt and model changes and measure improvements ‱ Improve evaluation systems using Langfuse traces and a golden-dataset harness ‱ Rank, score, and suppress proactive insights so agents interrupt customers only when appropriate ‱ Participate in screening, technical case study, founder and team interviews, reference checks, and hiring decisions

🎯 Requirements

‱ 2+ years shipping software professionally ‱ At least one production LLM feature used by real users, such as a chatbot, RAG system, or agent ‱ Knowledge of RAG, including embeddings, vector search, chunking, and reranking ‱ Ability to analyze production traces and identify retrieval, prompt, or tool-selection issues ‱ Experience with an LLM observability or evaluation tool such as Langfuse, LangSmith, Braintrust, Arize, or Humanloop ‱ Strong Python and backend fundamentals ‱ Ability to measure latency, cost, and quality ‱ Nice to have: experience with Elastic, Algolia, Qdrant, Weaviate, fine-tuning, graph search, and e-commerce operations ‱ Ability to work from a European country without visa sponsorship

đŸ–ïž Benefits

‱ Real ownership from day one ‱ Opportunity to work with top-notch international talent ‱ Growth opportunities with roles and responsibilities scaling based on demonstrated capabilities ‱ Close-knit, supportive team environment ‱ Equal opportunity employer

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