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

Vos tâches

• 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

Ce que vous apportez

• 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

Conditions

• Taux d'activité: 80–100 %
• Modèle de travail: Hybride
• Début: 01.11.2026
• Durée de la mission: 12 mois
• Option d'engagement fixe après la mission, si les deux parties le souhaitent

Comment postuler

Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.