Principal Software Engineer — AI-Augmented Development

Core Development (60%)

• Design and ship scalable features from concept to production
• Use Claude, Copilot, and coding agents to prototype and iterate 10x faster
• Write production-quality code (not just AI-generated drafts—you validate, refactor, optimize)
• Own full-stack ownership: APIs, databases, services, integrations
• Review code for correctness, performance, and maintainability

Architecture & Technical Strategy (25%)

• Make architectural decisions based on speed, cost, and reliability tradeoffs
• Define API design, database schemas, integration patterns
• Know when to use: PostgreSQL vs

Ihre Aufgaben

• Codes 50-70% of your time using AI-assisted development
• Makes architectural decisions through code, not PowerPoint
• Understands business metrics and translates them into technical priorities
• Owns end-to-end features: database → backend → frontend → analytics
• Uses AI agents to prototype, test, optimize, and refactor rapidly

Was Sie mitbringen

• Development
• 5+ years professional software engineering
• Strong fundamentals in Python, TypeScript, or similar
• Comfortable full-stack: backend systems, databases, frontend
• Experience shipping production features under deadline pressure
• AI-Augmented Workflow
• Proficient with Claude, GitHub Copilot, or similar AI coding tools
• Can use agents to generate, test, and optimize code at scale
• Know how to validate AI-generated code (not copy-pasting blindly)
• Experience with prompt engineering for code generation
• Architecture
• Understand distributed systems, APIs, databases, cloud platforms (AWS/GCP/Azure)
• Can design systems that scale without overthinking microservices
• Know the tradeoffs: speed of development vs. technical debt
• Practical knowledge of Docker, CI/CD, observability
• Business Understanding
• Can sit with product/CEO and understand: CAC, retention, unit economics, KPIs
• Know how to turn "we need to reduce churn" into technical architecture
• Care about what gets shipped, not just how it's built
• Experience working in early-stage startups (speed > perfection)
• Data & AI (Your advantage)
• Comfortable with analytics and experimentation
• Understand LLMs, embeddings, RAG, basic agent design
• Can integrate AI APIs (OpenAI, Claude, custom models) without overthinking
• Experience with vector databases, analytics stacks a plus

Rahmenbedingungen

• Pensum: 80–100 %
• Arbeitsmodell: Hybrid
• Start: 01.11.2026
• Einsatzdauer: 12 Monate
• Option auf Festanstellung nach dem Einsatz, wenn beide Seiten wollen

So bewerben Sie sich

Sie bewerben sich mit Ihrem try&hire-Profil: Lebenslauf hochladen, Angaben prüfen, Eckdaten und Verfügbarkeit eintragen. Ein kurzes Vorstellungsvideo ist freiwillig, hilft aber. Unser Team meldet sich, wenn Ihr Profil zum Einsatz passt.