
11 - 50 employees
Founded 2023
âïž SaaS
đïž eCommerce
đ€ Artificial Intelligence
SaaS âą eCommerce âą 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 â it has raised âŹ4M to build the product.
đ„ 9 minutes ago
đȘđș Europe â Remote
â° Full Time
đą Junior
đĄ Mid-level
đ€ AI Engineer
đ«đšâđ No degree required
đ» Ghost score 15%
Where this job comes from
Posted on TextYess's careers page, not through a job board
First seen by Remote Rocketship 9 minutes ago

11 - 50 employees
Founded 2023
âïž SaaS
đïž eCommerce
đ€ Artificial Intelligence
SaaS âą eCommerce âą 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 â it has raised âŹ4M to build the product.
âą Build the agentic runtime for proactive AI agents âą Develop context-building, tool/retrieval orchestration, scoring, and guardrail components âą Own production components from day one âą Improve grounding and product-availability accuracy through retrieval, prompting, and evaluation âą Combine exact-match and semantic search in a single ranking system âą Improve multilingual response quality across Italian, English, and other languages âą Profile requests and optimize latency and cost âą Test prompt and model changes and measure improvements âą Improve evaluation systems using Langfuse traces and a golden-dataset harness âą Rank, score, and suppress proactive insights so agents interrupt customers only when appropriate âą Participate in screening, technical case study, founder and team interviews, reference checks, and hiring decisions
âą 2+ years shipping software professionally âą At least one production LLM feature used by real users, such as a chatbot, RAG system, or agent âą Knowledge of RAG, including embeddings, vector search, chunking, and reranking âą Ability to analyze production traces and identify retrieval, prompt, or tool-selection issues âą Experience with an LLM observability or evaluation tool such as Langfuse, LangSmith, Braintrust, Arize, or Humanloop âą Strong Python and backend fundamentals âą Ability to measure latency, cost, and quality âą Nice to have: experience with Elastic, Algolia, Qdrant, Weaviate, fine-tuning, graph search, and e-commerce operations âą Ability to work from a European country without visa sponsorship
âą Real ownership from day one âą Opportunity to work with top-notch international talent âą Growth opportunities with roles and responsibilities scaling based on demonstrated capabilities âą Close-knit, supportive team environment âą Equal opportunity employer
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