Engineering Lead (AI Enablement)

Raisin; Berlin; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Visa & Relocation

Training budget

Hardware freedom

German classes

Food & Drinks

Flexible hours

28 vacation days

Pension scheme

Team events

Urban Sports Club subsidy

Job summary

Raisin is seeking an Engineering Lead to steer the engineers building Raisin's internal AI platform. You will own end-to-end delivery, from planning and estimation to implementation and release, balancing new capabilities with reliability and ongoing maintenance.

You will hire, onboard, and develop engineers, fostering autonomy across platform engineering, infrastructure, and AI, while protecting users’ trust and ensuring production systems’ reliability.

Qualifications

• 7+ years in software engineering.
• 3+ years leading engineers as a manager.
• Fluency in English.
• Experience delivering production systems used by other teams.

Responsibilities

• Lead the engineers who build Raisin's internal AI platform and drive AI-assisted engineering practices.
• Own end-to-end delivery from planning to release, balancing new capabilities with reliability.
• Hire, onboard, and develop engineers, building an autonomous cross-functional team.
• Set expectations through regular 1:1s and development plans, and provide timely feedback.

Skills

Software engineering

Engineering leadership

AI platform

Job description

• As Engineering Lead, you lead the engineers who build Raisin's internal AI platform and drive the company's AI-assisted engineering practices
• You are accountable for the team's delivery, growth, and maintaining the AI platform users' trust
• You stay close to the technology, because in a field that changes this quickly, good leadership decisions depend on understanding the technical details
• Hire, onboard, and develop engineers, and build a team that works autonomously across platform engineering, infrastructure, and AI
• Hold regular 1:1s, set clear expectations, and agree individual development plans with each engineer
• Give timely feedback, recognise strong performance, and address low performance early
• Create an environment of trust, open communication, and continuous learning, so the team keeps up with a fast-moving field without burning out
• Own end-to-end delivery, from planning and estimation through implementation and release, balancing new capabilities with reliability and maintenance
• Make sure the platform runs well in production: on-call, incident handling, and service levels for the systems other teams rely on
• Spot risks and blockers early and resolve them, or escape in time with a clear proposal
• Turn the AI strategy into quarterly goals and a roadmap the team commits to, together with your manager and stakeholders
• Work with engineering, product, and business stakeholders to understand their needs and decide what the platform should offer next
• Measure adoption, reliability, cost, and impact, and use that data in planning and when reporting to leadership
• Manage the cost of AI usage and tooling, including budgets, licences, vendor relationships, and build-versus-buy decisions
• Work with the team's tech leads on architecture and key technical decisions, and stay hands-on in design discussions, reviews, and selected implementation work
• Work with security, legal, and compliance colleagues to keep the platform and the company's use of AI secure and compliant
• Help engineering teams across Raisin adopt AI in their work through documentation, workshops, and direct support

Benefits

• Visa & Relocation Support
• 1,700 EUR Training Budget
• Free Choice of Hardware
• Beginner German Classes
• Food & Drinks
• Flexible working hours, home office and 28 vacation days
• Company Pension Scheme
• Team Events
• Subsidised Urban Sports Club Membership

Qualifications

A practical understanding of modern AI integration, such as LLM APIs, AI coding assistants, and agentic workflows, deep enough to evaluate technical decisions and challenge the team. You use AI tools in your own work7+ years in software engineering overall, with a background in backend, platform, infrastructure, or developer tooling3+ years leading engineers as an Engineering Manager, Engineering Lead, or Team Lead, including hiring and performance managementExperience leading a team that builds for internal customers, such as a platform, developer tooling, or shared services used by other engineersClear communication with engineers, product, and business stakeholders, and fluency in EnglishA track record of delivering production systems that other teams depend on, including ownership of their reliabilityYou don't need to tick every box. If you have led a platform or developer-tooling team and you are excited about what AI changes for engineering, we would like to hear from youExperience leading distributed or hybrid teamsYou have driven adoption of new tools or practices across an engineering organisationExperience with AI platform topics such as model access, governance, observability, rate limiting, or cost managementExperience in a regulated industry such as banking or fintech