Xenit AB

AI Engineer

• We are looking for an AI Developer who wants to build production-grade AI applications that solve real business problems, and help customers understand how AI can create sustainable value .
• In this role, you will design, build, and evolve AI-driven applications and agents, while contributing to architectural decisions and guiding solution direction.
• You will work closely with business stakeholders and translate needs into scalable, secure and maintainable AI solutions.
• Design and build production-grade AI applications and agents using Python and modern orchestration frameworks such as LangChain , Microsoft 365 Agents SDK , or similar tooling.
• Implement retrieval-augmented generation (RAG) pipelines , embedding workflows, vector search integrations, and structured context management for enterprise use cases.
• Develop full-stack components (APIs, services, UI layers) that operationalize AI capabilities and integrate them into real business workflows.
• Design scalable AI architectures on Azure , leveraging Azure AI Foundry for model hosting, evaluation flows, experimentation, monitoring, and lifecycle management.
• Implement observability, evaluation, and guardrail mechanisms for LLM-driven systems - ensuring reliability, traceability, and responsible AI usage in production environments.
• Engage with stakeholders to define use cases, assess feasibility, and translate business challenges into technical architectures.
• Evaluate solution approaches from both a technical and business perspective, ensuring AI is used where it creates real impact and not where simpler architectures are preferable.

AI Developer

Manager

• Take on technical and operational responsibility for the Collaboration Team.
• Split of management vs. technical delivery is 50/50%.
• Manage your team while expected to work as a technical consultant.
• 1 to 1s with your team members.
• Salary reviews/negotiations each year.
• Recruitment: Deciding on needs, working closely with our Head of Talent in the recruitment process, interviewing candidates, job offering.
• Pre-sale Engineering: Providing technical guidance to both business managers and sales teams in customer discussions.
• Responsibility for Service Delivery: Ensure optimal use of the team's competence into assignments and managed service delivery.
• Working closely with Business Manager on strategy, and how best to implement for operational success.
• Solution Architecture and/or technical implementation within the collaboration sphere.

AI Developer

Team Manager – Collaboration