The Problem

Sales 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 built a 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. LLM orchestration, entity extraction, relevance scoring, semantic deduplication, and explainability. The kind of system where 85% accuracy isn't good enough.

What You'll Own

You'll own our AI pipeline – the core intelligence layer that makes ZYNT valuable.

In your first month:

Deep-dive into our multi-stage AI pipeline with the CPTO
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 just individual signals – patterns across markets, sentiment shifts, and the "why" behind what matters. You'll work with our R&D consultant to build 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, Cloud (AWS/GCP)

Who You Are

Must have:

4-8 years backend engineering experience
2+ years owning production AI/ML systems
TypeScript and/or Python fluency
Experience with LLMs, embeddings, or NLP in production
PostgreSQL proficiency
Fluent Polish and English (C1+)

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

Why Join Now

You'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

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

Apply

Send us your LinkedIn or CV, a brief note on a production AI/ML system you owned – what worked, what broke, what you learned – and your availability.

Reach out at contact@getzynt.com

Senior Backend/AI Engineer