Senior Product Engineer (LLM / Multi-Agent Systems)

Senior Product Engineer (LLM / Multi-Agent Systems) Remote (EU) · Full-time · Core product role

About the product

We’re building DOGER — a production system that connects real-world public data (real estate, weather, statistics, fire events, tenders) into a unified graph and answers cross-domain questions.

Think

• “Is this property a good investment based on tourism trends, fire risk, and pricing?”
• “Are there anomalies in public tenders after major events?”

• The system is already live and growing fast.
• New data sources and use cases are added every 1–2 weeks.

The role

You’ll own the AI layer of the product .

Everything between

• 👉 “user asks a question”
• 👉 “system returns a structured, reliable answer”
• This includes how data is retrieved, combined, reasoned over, and turned into outputs.
• You won’t be starting from scratch — but you will take ownership and evolve a working system .
• What you’ll work on (next 3–6 months)

1. Expand system capabilities

• add new use cases and data sources (weekly / bi-weekly)
• extend how the system reasons across domains
• improve answer quality and structure

1. Orchestration and system logic

• improve multi-step workflows (agents, tools, routing)
• design how different parts of the system interact
• make behavior more predictable and debuggable

1. External access layer

• enable external systems to query the platform
• build APIs and access patterns for data and reasoning
• prepare for monetization (e.g. per-query access, integrations)

1. Understand and improve the current system

• dive into an existing system that’s partially a “black box”
• map how it works end-to-end
• refactor where needed (without full rewrites)

What already exists

• production LLM-powered system
• graph-based data layer (Neo4j)
• partially automated agent / workflow creation (~80%)
• multiple real-world data sources connected
• ability to add new data sources in 1–2 days
• working UI and real use cases

• This is not a prototype — it’s a system already delivering value.
• Tech stack

Core

• Python
• LLM frameworks (Pydantic AI, LangChain, LangGraph, OpenAI SDK, or similar)
• APIs and data pipelines

Nice to have

• graph databases (Neo4j or similar)
• FastAPI or backend frameworks
• experience with multi-step LLM workflows (agents, tool use, orchestration)

Who we’re looking for

You’re likely a strong fit if you

• have built LLM-powered systems in production (not just demos)
• understand how to structure AI systems (RAG, tools, workflows, APIs)
• can debug and improve non-deterministic behavior
• are comfortable working with messy, evolving systems
• have worked in startups or high-ownership environments

What matters most

• ownership mindset
• ability to move fast and iterate
• ability to understand and improve existing systems
• strong engineering fundamentals

Team

Small, product-focused team (currently 4 people)

• Product / project lead
• Data & backend engineer (data pipelines, infra)
• DevOps
• You — owning the AI layer

Working format

• full-time (no part-time)
• remote
• overlap with Portugal working hours for collaboration

Location

Priority

• Portugal (RU/UA speakers preferred)
• Portugal (English-speaking)
• Europe (English / RU / UA)

Flexible for the right person.

Contract

• B2B contract (Dubai entity)
• compensation discussed individually

Why this role

• real product, not a prototype
• direct impact on what gets built and shipped
• ownership of a core system, not a small feature
• fast iteration, minimal process overhead

Important to know

This is a high-ownership role

• you’ll be the main person responsible for the AI system
• things move fast
• not everything is perfectly structured yet

• If you enjoy building, improving, and owning systems — this will fit.
• If you prefer clearly defined boundaries — probably not.