Senior Product Engineer (LLM / Multi-Agent Systems)

About 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 2. 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 3. 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) 4. 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

Requirements

• 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.

Benefits

Additional Information

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.

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