Want to build production-grade AI systems where agentic workflows aren't just an afterthought, but the core product experience?

Are you looking for a role where you can bridge full-stack engineering craft with cutting-edge LLM orchestration, long-term memory, and low-latency streaming?

Great, then please read on as we have a role for you.

The role is based in Europe.

Our client's mission is to fundamentally change the productivity landscape around email, calendars, notes, and task management by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.

As a Full Stack Engineer – AI Systems, you will own the product layer that turns these capabilities into usable, production-grade workflows. You will shape how intelligent agents operate, fail, recover, and deliver consistent value to users. This is a core engineering role where interactive AI capabilities are central to the product ecosystem, demanding exceptional system performance, rock-solid reliability, and high user trust.

Key Responsibilities

• Build end-to-end product features across the frontend, backend, and AI integrations.

• Design multi-step agent workflows that handle planning, tool use, failure, and recovery across sessions.

• Integrate LLMs, memory architectures, and external APIs into systems that behave reliably under real-world conditions.

• Architect user experience patterns designed for real-time interactions, including streaming states, partial results, and tight latency constraints.

• Improve system reliability, observability, monitoring, and fallback mechanisms for LLM and tool failures.

• Collect user signals and telemetry to support continuous model evaluation, hallucination reduction, and product iteration.

• Partner with ML and backend engineering teams to define system architectures and establish scalable integration patterns.

To be a good fit for the Full Stack Engineer role, you will have:

• Strong professional full-stack development experience using modern frameworks (Next.js, Python, Node.js).

• Practical experience building AI-driven applications, RAG systems, or working directly with LLM APIs (OpenAI, Anthropic, open-source models).

• Solid understanding of system design, API architecture, and database systems (SQL & NoSQL).

• Demonstrated ability to design robust user experiences around network latency, graceful degradation, and non-deterministic model responses.

• Experience with containerization, deployment pipelines, and cloud orchestration (Docker, Kubernetes).

• Ability to handle ambiguity, exercise independent judgment, and take features from idea to production with high ownership.

• Strong product intuition focused on client-side reliability and proactive, user-centric UX.

Reasons to join:

• Small, high-talent-density team building a greenfield AI productivity product from scratch.

• High-caliber engineers from top tech companies with a very high technical bar.

• Fully remote, global team with strong ownership and high-impact visibility.

• Very strong reward culture, including significant equity and compensation flexibility.

Sounds interesting? Send us your CV by applying to this page.

The provision of personal data by you is fully voluntary and the basis for their processing is your consent. We have prepared some necessary information, you can find in document: "Information regarding the processing of your personal data". There you will find how your Personal Data is being processed and what your rights are in connection to this.

The personal data will be processed by Sowelo Consulting spółka z ograniczoną odpowiedzialnością with its registered seat in Cracow (LLC) registered in National Court Register (KRS) under no. 0000671136, our Employees and Subcontractors (jointly referred to as the Company).

Sowelo Consulting sp. z o.o. (LLC) is entered in the register of employment agencies under the number: 35288

Our candidate selection process relies entirely on human judgment. We explicitly avoid using automated screening algorithms or AI-driven scoring systems for any part of the assessment. Every single profile is reviewed personally by our experienced recruiters, ensuring a thorough and unbiased consideration of your fit.

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