Senior Backend/AI EngineerRemote (CET ±4h) | 20-25k PLN net/month B2BThe ProblemSales teams spend hours digging through news, LinkedIn, and databases looking for the right moment to reach out.A company just raised funding. A VP just changed jobs. A competitor just expanded into a new market. These signals exist - but finding them manually doesn’t scale.ZYNT surfaces buying signals automatically. We are building multi-stage AI pipeline that processes thousands of sources, extracts what matters, and delivers actionable intelligence to sales teams in real-time.The technical challenge: Making AI reliable and cost-effective at scale. Utilizing APIs, NLP and LLM orchestration. Entity extraction, relevance scoring, semantic deduplication, and explainability. The kind of system where 85% accuracy isn’t good enough.What You’ll OwnOur AI pipeline - the core intelligence layer that makes ZYNT valuable.In your first month: Deep-dive into our multi-stage AI pipeline Audit current scoring and classification - find the gaps Ship your first improvement to signal quality In your first quarter: Own signal quality end-to-end (scoring, classification, deduplication) Build semantic search across our growing signal database Improve entity extraction and relationship mapping Optimize LLM costs without sacrificing quality Where we’re heading:We want ZYNT to understand industries, not only individual signals - patterns across markets, sentiment shifts, and the “why” behind what matters. Building auto-learning capabilities that make the system smarter over time.The Stack Languages: TypeScript (primary), Python AI/ML: LLM APIs (OpenAI, Gemini), embeddings, vector search, NLP libraries Data: PostgreSQL, pgvector, Prisma Observability: Langfuse, structured logging Infrastructure: Background job orchestration, observability, Cloud Who You AreMust have: 4-8 years backend engineering experience 2+ years owning production AI/ML systems (building systems that work reliably at scale) TypeScript and/or Python fluency Experience with LLMs, embeddings, or NLP in production PostgreSQL proficiency Fluent Polish and English (C1+) - our customers and team speak both The attitude: You see a problem, propose a solution, and ship it “85% accuracy” bothers you - you want 95%+ You think about cost per API call without being asked You debug production issues when you spot them Nice to have: Startup or 0→1 experience Entity extraction, knowledge graphs, semantic search Prompt engineering and LLM optimization MLOps / model monitoring Multi-tenant SaaS background Red flags (not for you if): You prefer research over production systems You need detailed specs before starting “That’s not my area” is in your vocabulary Why Join NowYou’d be one of our first engineering hires. Early-stage, real ownership: Small team, big problems, no bureaucracy Shape everything: Architecture, processes, culture - it’s all being built Customers using the product daily: We’re past the “will anyone use this” phase Visible impact: Your work directly enables everything else How We Work Ship daily. We deploy to production constantly Founder-level ownership. You own outcomes, not tasks Direct customer access. You’ll hear what users need firsthand Outcomes, not hours. We care what you ship, not when you’re online The Details Compensation: 20-25k PLN net/month (B2B) Equity: Discussed during process Location: Remote, CET ±4 hours overlap required Office: Optional access to Warsaw space Start: January-February 2026 Interview Process Intro call - mutual fit check Technical conversation - your experience, our challenges Practical task - real problem, reasonable scope Founders conversation - culture, vision, your questions