SENIOR AI ENGINEER, AI SYSTEMS

Posted 8 Hours Ago
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Stockholm, SWE
In-Office
Senior level
Artificial Intelligence • eCommerce • Machine Learning • Software
The Role
Design and build production-grade agentic AI systems: multi-agent pipelines, LLM orchestration, tool-use and function-calling infrastructure, task decomposition, reliability and recovery layers, and evaluation infrastructure that connects AI reasoning to real-world APIs and measures multi-step execution reliability.
Summary Generated by Built In

Who We Are

We are a well-funded, early-stage technology company on a mission to fundamentally redefine the way the world searches, discovers, and transacts, built on a philosophy that puts the user first at every step.

 

The user is not simply a means of transaction. They are a valued participant whose data works for them, not against them, enriching their world and their own experience within it, with them retaining full control.

 

Our mission is underpinned by proprietary, patent-pending technology built on a novel engine and system.

The Problem You Will Be Solving

The internet was built to inform the many, not to serve the individual. Platforms optimize for engagement, extraction, and consumption at global scale. AI has made this model even more efficient, with the user still largely remaining the input, not the full beneficiary.

 

The problem is not information. The world has never had more. The problem is that people give away a lifetime of data without receiving the personalized experience it should enable.

 

People should not have to search. They should simply find.

Who You Are

Highly talented and motivated to build products with people, for people

You thrive in zero-to-one environments and find genuine satisfaction in creating from scratch

A fast-paced thinker with a relentless desire to learn, improve, and raise the standard around you

Able to inspire, elevate, and collaborate; you make the people around you better

A great communicator; you express complex ideas with clarity, precision, and confidence across all levels of the organization

Able to transform ideas into working systems and technical milestones with light speed and precision

Highly ambitious and action-driven; you thrive under pressure and find genuine energy in working at the edge of what is considered possible

Capable of designing and building production-grade systems in a fourth of the time most experienced and “sane” professionals would consider possible

What You Will Do

Design and build multi-agent pipelines and AI systems that decompose complex operational tasks into sequences of discrete actions across multiple downstream services

Build LLM orchestration frameworks that govern agentic execution including prompt construction, tool selection, output validation, context management, and structured logging

Build tool-use and function-calling infrastructure that connects AI reasoning to real-world APIs, external services, and operational systems

Design task understanding and decomposition systems that translate inputs into executable plans with appropriate confidence bounds

Build reliability and recovery layers that ensure safe agentic execution through graceful degradation paths, error recovery, and human escalation triggers

Build evaluation infrastructure for agentic systems that measures task completion, failure mode distribution, and system reliability across multi-step execution chains

Minimum Qualifications

Demonstrated experience building agentic AI systems that operate reliably in production; the distinction between this and a working demonstration is the primary thing we assess

Deep working knowledge of LLM orchestration; including a clear understanding of where current frameworks succeed and where they introduce reliability risks in production conditions

First-principles understanding of agentic failure modes; hallucination at tool boundaries, context degradation across long chains, non-determinism in consequential actions, and demonstrated practice of building defensively against each

Fast, disciplined engineering in a domain that changes rapidly

Candidates with exceptional research backgrounds in LLM reliability, AI planning, or multi-agent systems will be considered alongside those with direct production experience

Preferred Qualifications

MSc or PhD in Computer Science or Artificial Intelligence from KTH, Chalmers, or an institution of equivalent standing; PhD candidates working on LLM reliability, planning, or multi-agent coordination are actively sought

Open source contributions or published work in agentic AI, LLM reliability, or related areas

Demonstrated ability to ship production-grade agentic systems faster than peers would consider realistic

2–5 years of experience; demonstrated capability outweighs tenure in a field this new

What We Offer

Expect the most talented, rigorous, and driven colleagues you have worked with; people who lift each other up and hold each other to the highest standard. This company is driven by ideas and innovation, regardless of age, position, or background. The best ideas must win and the people behind them recognized and rewarded.

 

A home for exceptional people and geniuses within their domain; those who have always known what they are capable of and have been waiting for the environment to prove it to the world, whilst first being seen and supported by their coworkers.

 

Compensation includes an attractive salary and meaningful equity ownership for an early-stage startup.

Equal Opportunity

We are an equal opportunity employer committed to building an inclusive, high-performance culture where everyone can do their best work and reach their full potential. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, or any other characteristic protected by applicable law.

Application

To apply, send your CV/resume, GitHub profile, LinkedIn profile, and a brief note on how and why you would like to contribute to our mission. Upon initial acceptance, an in-person interview will follow shortly in Stockholm, Sweden.

 

Please note that all applications and interviews are conducted in English. Fluency in written and spoken English is a requirement for all roles.

 

All applications are treated with strict confidentiality.

Skills Required

  • Demonstrated experience building agentic AI systems that operate reliably in production
  • Deep working knowledge of LLM orchestration frameworks and their production reliability trade-offs
  • First-principles understanding of agentic failure modes and defensive engineering practices
  • Fast, disciplined software engineering in rapidly changing AI domains
  • Fluency in written and spoken English
  • Research background in LLM reliability, AI planning, or multi-agent systems
  • MSc or PhD in Computer Science or Artificial Intelligence (top-tier institution preferred)
  • Open source contributions or published work in agentic AI or LLM reliability
  • Demonstrated ability to ship production-grade agentic systems rapidly
  • 2-5 years of relevant experience (demonstrated capability may outweigh tenure)
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The Company
Year Founded: 2026

What We Do

Q Innovations is a Stockholm-based, well-funded early-stage technology company developing proprietary, patent-pending technology to redefine how people search, discover, and transact. Its user-first approach treats people as active participants, allowing their data to work for them while retaining control. The company is building AI-driven personalization and a novel engine and system to improve digital discovery and transaction experiences.

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