About Combient Group

Our client, Combient Group, brings together leading large companies in the Nordics on their digitalization journey. The organization is built on the conviction that cross-industry collaboration enables companies to move smarter and faster.

The Combient network includes 36 large enterprises, representing approximately 1.4 million employees and €270 billion in combined revenue.

At a time when AI technologies are rapidly reshaping how businesses operate, many of the underlying assumptions of modern enterprise are being fundamentally reconsidered. In response, AI @ Combient has been established as an ecosystem of initiatives and services designed to help companies navigate this shift — through learning programs, strategic advisory, and deep engagement with technological development.

Within this ecosystem, the Combient AI Center is a newly established applied research arm. The center combines hands-on engineering expertise with informed judgment to translate AI advancements into practical, enterprise-ready capabilities.

The 2026/2027 roadmap includes three major streams of work in collaboration with the network companies:

  • A controlled experimental study focused on engineering–agent collaboration

  • Fast prototyping cycles evaluating emerging ideas in generative and agentic systems

  • AI product engineering initiatives addressing challenges surfaced from the company network

The AI Center works by building real systems, testing them in live organizational settings, and scaling validated pilots into sustained operating capabilities across the network.

The Role

On behalf of Combient AI Center, we are now recruiting a Software Platform Engineer to join as a founding team member.

As the center is newly established, core infrastructure is being built from the ground up. This is a unique opportunity to design, build, and take ownership of foundational platform capabilities end-to-end.

You will collaborate closely with AI Engineers, applied scientists, and research partners to establish the platform foundations required for applied AI in enterprise environments. The focus areas include observability, evaluation, reliability, and developer experience — enabling teams to scale AI solutions with confidence.

You will own significant parts of the software stack, including architecture, core services, integrations, observability, and operations. The role also offers the opportunity to shape new platform and product capabilities from inception.

Typical Tech Stack

  • Languages: Python, plus TypeScript and/or Go

  • Services: REST/GraphQL APIs, event-driven systems, background workers

  • Data & Observability: Structured logging, tracing, dashboards, data warehouses/lakes

  • AI Components: Ingestion, indexing/search, retrieval systems, evaluation harnesses, experiment tracking

  • Infrastructure: Docker, CI/CD pipelines, Terraform, cloud services

Key Responsibilities

  • Build instrumentation linking AI usage to engineering outcomes (quality, rework, maintainability, review behavior)

  • Develop experiment and evaluation infrastructure (dataset versioning, run tracking, metrics pipelines, regression testing)

  • Build and operate shared AI platform services (ingestion, retrieval, model/agent configuration, runtime components)

  • Implement traceability and provenance capabilities (source linking, evidence trails, versioned artifacts, audit-friendly records)

  • Integrate platform services into developer workflows (code review, ticketing systems, knowledge tools)

  • Define rollout and safety patterns (feature flags, staged rollouts, fallback behavior)

  • Design for enterprise-grade constraints (access control, tenant boundaries, secrets management, audit logs, retention policies)

  • Enable large-scale AI experimentation and product builds across participating companies

  • Translate platform solutions into reusable templates and reference architectures for broader network adoption

What We’re Looking For

  • Strong software engineering fundamentals with production experience

  • Experience in platform engineering (APIs, distributed systems, data pipelines, event-driven architectures, or internal tooling)

  • Cloud and deployment experience (CI/CD, containers, infrastructure-as-code)

  • Comfort working in ambiguous and evolving environments

  • A strong reliability and systems mindset

  • Curiosity about AI system behavior and building robust guardrails

Meritorious Experience

  • Developer tooling (GitHub/GitLab, CI systems, IDE workflows)

  • Search, indexing, or retrieval systems

  • Knowledge graphs or entity resolution

  • Temporal data modeling

  • Regulated or privacy-sensitive environments

  • Multi-tenant architectures and permission models

Ways of Working

The AI Center emphasizes:

  • Respectful debate and evidence-based decision-making

  • Explicit trade-offs and time-boxed discussions

  • Strong alignment and shared ownership once decisions are made

Why This Opportunity

  • Take ownership of meaningful parts of the software stack

  • Build platform and product capabilities from the ground up

  • Shape infrastructure for large-scale AI experimentation and product development

  • Influence engineering practices across one of Europe’s largest collaborative enterprise networks

Practical Information

  • Location: Stockholm, Sweden

  • Close collaboration with AI, product, and research teams

  • High degree of autonomy and influence on technical direction

Next Position, integritetspolicy

På Next Position värnar vi om din personliga integritet och eftersträvar alltid en hög nivå av dataskydd. Individens personliga integritet och säkerheten för dennes personuppgifter är viktig för Next Position som ansvarar för att se till att alla personuppgifter behandlas på ett korrekt sätt och i enlighet med dataskyddsförordningen (GDPR). Denna integritetspolicy ("Integritetspolicyn") är en samtyckeshandling och beskriver Next Positions behandling av personuppgifter. Vi ber dig därför att noggrant läsa igenom integritetspolicyn innan du delar dina personuppgifter till/med oss.

När du skickar din ansökan för denna rollen ger du oss ett begränsat samtycke vilket medför att uppgifterna du lämnar i denna ansökan då endast används för att matcha dig mot aktuell tjänsten enligt följande villkor. Efter slutförd rekryteringsprocess kommer dina uppgifter att raderas alternativt ges du möjlighet att ge fullständigt samtycke vilket medför att uppgifterna du lämnar i denna ansökan används för att matcha dig mot detta och andra uppdrag enligt följande villkor.