Systems Engineer

• Build end-to-end product features across frontend, backend, and AI integrations
• Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
• Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions
• Design real-time AI interactions with streaming, partial results, and tight latency constraints
• Improve system reliability, observability, and fallback mechanisms
• Collaborate closely with ML, backend, and product teams to ship features end-to-end
• Continuously iterate based on real usage and failure modes

Full Stack Engineer, AI Systems

• Build and operate backend systems that serve AI-powered features in production.
• Design inference pipelines, orchestration layers, and service boundaries around models.
• Own production concerns: monitoring, logging, alerting, and incident response.
• Optimize latency and throughput across inference, caching, batching, and streaming.

Backend Engineer, AI – Agent Systems

• Analyze, define, and manage system and subsystem requirements across complex development projects within the defence and security sector
• Establish and maintain requirements traceability to assure alignment between requirements, design, implementation and test
• Define verification strategies: Determine where and when sub-systems should be tested to ensure a functioning final delivery
• Develop test specifications for various sub-systems ahead of test events
• Act as an experienced contributor within interdisciplinary project teams and support the successful delivery of complex development projects across all phases
• Bring in your expertise to improve methods, structures, and ways of working within systems engineering and adjacent disciplines

Systems Engineering Consultant

• Vidta åtgärder vid Cyberattacker
• Lösa viktiga problem där teknologisk utveckling spelar en avgörande roll.
• Tillhandahålla den bästa ingenjörsexpertisen till våra kunder så att de kan uppnå sina mål.

Embedded Engineer

• Define and drive how Reader BU platforms are aligned with and integrate into internal systems and adjacent ecosystems.
• Develop business cases for new platform or integration investments.
• Influence future platform definitions by ensuring integration, interoperability, reuse, and ecosystem requirements are built in from the outset.
• Align product managers, platform architects, and engineering teams around common integration principles, standards, and priorities.
• Work closely with Global Engineering leadership to align on architectural decisions, integration frameworks, and platform priorities.
• Define cross-platform requirements early to prevent fragmentation and ensure consistency across product lines.
• Define and drive shared cross-platform roadmap priorities to ensure reuse, consistency, and convergence across Reader BU platforms.
• Drive reuse of common components, services, and integration frameworks across platforms, reducing duplication and accelerating time to market.
• Work with close colleagues to establish a coherent model for how devices, firmware, SDKs, APIs, and cloud services interact across platforms.
• Ensure a consistent and scalable developer and integration experience across all reader platforms.
• Define how Reader BU platforms integrate with external ecosystems, partners, and enterprise architectures.
• Act as the central point of coordination for cross-product and cross-BU integration topics and dependencies.
• Define monetization strategies for integration capabilities, including APIs, services, and ecosystem participation.
• Contribute to relevant industry standards bodies and alliances to ensure alignment and interoperability of Reader BU platforms.
• Maintain a strong understanding of technology trends, competitive ecosystems, and evolving integration models.
• Gather customer, partner, and field feedback to identify integration gaps and prioritize improvements.
• Manage integration capabilities across their full lifecycle, from concept through delivery and continuous improvement.
• Support go-to-market activities with clear positioning, messaging, and enablement around integration capabilities.

Product Manager, Ecosystem Integration

• Translate rider and operator needs into platform‑level design decisions, ensuring our vehicles are intuitive to use, reliable over years in the field and straightforward for local teams to operate and maintain.
• Architect and evolve a large‑scale distributed embedded platform spanning vehicle control systems, battery‑powered IoT devices and multi‑MCU/MPU platforms (including Zephyr / Linux‑capable systems).
• Develop and scale platforms capable of hosting multiple ML models on‑edge based on computer vision and other sensors.
• Drive the evolution of fleet‑wide OTA infrastructure, remote diagnostics and observability for hundreds of thousands of devices across 100+ cities in Europe.
• Lead technical discussions and design reviews with internal teams and external hardware suppliers and manufacturing partners.
• Improve resilience and recovery mechanisms for remotely deployed systems, including safe rollback strategies and recovery of bricked devices.
• Drive improvements in CAN‑based vehicle communication, power systems, GNSS and geofencing in dense urban environments, and sensor reliability, including Bluetooth and NFC user interactions.
• Raise the bar for engineering excellence across embedded and firmware engineering, mentoring others, refining CI/CD, testing and release processes, and introducing best‑in‑class development practices.
• Champion the strategic and pragmatic adoption of Generative AI tools to increase engineering effectiveness while protecting code quality and minimising technical debt.

Staff Embedded Engineer

• Utveckling och implementation av inbyggda systemlösningar
• Programmering i C++, Java och andra relevanta språk
• Felsökning och hantering av hårdvarurelaterade utmaningar
• Optimering av prestanda, robusthet och säkerhet i inbyggda system
• Integration av mjukvara och hårdvara i samarbete med andra ingenjörer
• Testning och verifiering för att säkerställa hög kvalitet

Embedded System Engineer

• As an AI First System Engineer at Cambio, you’ll design and build the intelligent systems powering the future of healthcare.
• This is not about adding AI on top — it’s about rethinking how systems are built from the ground up in an AI-first world.
• You’ll work at the intersection of architecture, AI, and product, shaping scalable and resilient solutions that enable new ways for millions of people to connect with healthcare.
• From defining system design and data flows to integrating AI capabilities into real-world applications, you’ll have a direct impact on how Cambio's HealthCare product evolves.
• You’ll operate in an autonomous and highly collaborative environment alongside Product teams and external stakeholders — while also helping set the standard for how Cambio builds modern, AI-native systems.

AI First System Engineer

• You will work in the team responsible for the core synchronization functionality in Zyntai.
• The team develops the algorithms and software used to process measurement data, estimate system behavior and control the oscillator in each TimeNode.
• You will work with methods such as Kalman filtering, Model Predictive Control, PI/PID controllers, state estimation, signal processing and mathematical optimization.
• Most implementation is done in modern C++ in the TimeNodes.
• Python is used for modelling, analysis, tooling, testing and development in Zyntai.

Systems Engineer jobs in Sweden

See all jobs on JobTailor