about 2 hours ago
Berlin, GermanySenior
Responsibilities
- Partner with business and technical teams to understand workflows, constraints, risks, failure modes, and desired outcomes.
- Own the technical direction, implementation, reliability, maintenance, and evolution of AI-enabled employee services.
- Design and build production-ready AI applications using retrieval, structured outputs, tool use, document processing, and multi-step workflows.
- Define human-review and escalation points for sensitive, uncertain, exceptional, or policy-dependent decisions.
- Integrate AI workflows with enterprise systems, APIs, data sources, and operational processes through reliable interfaces and secure data flows.
- Establish representative test cases, quality criteria, risk scenarios, release thresholds, and regression checks.
- Build and operate production software including data models, background processing, automated testing, delivery pipelines, observability, and incident response.
- Monitor quality, safety, latency, cost, adoption, and business outcomes and use production evidence to improve systems and engineering patterns.
Requirements
- Senior-level software engineering experience with strong system-design skills and experience delivering reliable, scalable production applications.
- Hands-on experience taking at least one AI-enabled application from prototype to production, including implementation, evaluation, deployment, and operation.
- Strong backend or full-stack fundamentals covering APIs, data modeling, asynchronous processing, automated testing, debugging, delivery pipelines, observability, and maintainable code.
- Practical experience with production LLM applications, prompt and context engineering, structured outputs, retrieval-augmented generation, and evaluation approaches.
- Ability to determine when AI, deterministic software, or human decision-making is the most appropriate solution.
- Working knowledge of privacy, security, access control, hallucination risk, latency, reliability, model selection, cost, tool-calling, and multi-step or agentic workflows.
- Fluent English and strong ownership, structured problem-solving, collaboration, and ability to translate ambiguous needs into pragmatic technical solutions.
- Experience using AI tools to improve problem-solving and productivity while maintaining human oversight and judgment.
- Preferred experience with multimodal AI, document-based workflows, orchestration frameworks, AI assistants, workflow agents, enterprise approval and exception processes, auditability, human oversight, and interoperability standards.
Benefits
- Hybrid work model with three days per week on-site in the Berlin office and remaining days flexible.
- 30 days of vacation per year.
- Ability to work from abroad for up to 10 days per year, subject to business and team requirements.
- Visa support and relocation package through a relocation agency.
- Employee ImmoScout24 plus membership for tenants.
- Dedicated monthly learning time, ScoutAcademy courses, book challenges, structured feedback, Lunch & Learn events, and individual career paths.
- Professional family service, including childcare assistance and emergency childcare.
- Dog-friendly office subject to approval and the company dog policy.
- Public transport or Job Bike subsidy.
- Company pension scheme with an attractive subsidy for employee contributions.
- Barrier-free Berlin office near the central station with gym, courses, napping room, rooftop terrace, organic coffee, cafeteria, green electricity, and weekly massage therapist.
- Life Situation Coaching and regular health checkups.
- Competitive salary package and bonus are offered, but no base-pay figure is stated.