Senior Product Engineer (LLM / Multi-Agent Systems)

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.

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.

• add new use cases and data sources (weekly / bi-weekly)

• extend how the system reasons across domains

• improve answer quality and structure

• improve multi-step workflows (agents, tools, routing)

• design how different parts of the system interact

• make behavior more predictable and debuggable

• 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)

• dive into an existing system that’s partially a “black box”

• map how it works end-to-end

• refactor where needed (without full rewrites)

• 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.

• Python

• LLM frameworks (Pydantic AI, LangChain, LangGraph, OpenAI SDK, or similar)

• APIs and data pipelines

• graph databases (Neo4j or similar)

• FastAPI or backend frameworks

• experience with multi-step LLM workflows (agents, tool use, orchestration)

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

• ownership mindset

• ability to move fast and iterate

• ability to understand and improve existing systems

• strong engineering fundamentals

Small, product-focused team (currently 4 people):

• Product / project lead

• Data & backend engineer (data pipelines, infra)

• DevOps

• You — owning the AI layer

• full-time (no part-time)

• remote

• overlap with Portugal working hours for collaboration

Priority:

1. Portugal (RU/UA speakers preferred)

2. Portugal (English-speaking)

3. Europe (English / RU / UA)

Flexible for the right person.

• B2B contract (Dubai entity)

• compensation discussed individually

• 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

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.