Role overview
We are hiring an elite cohort of highly hands-on AI Engineers to embed directly within Valsoft's Edelweiss Software Group portfolio of vertical market B2B SaaS companies.
We are looking for builders — engineers who operate as system orchestrators rather than traditional syntax typists. You will design, implement, and deploy secure, enterprise-grade AI systems that automate workflows, eliminate manual processes, rapidly modernize massive legacy codebases, and create measurable business impact.
You will work directly with operators, product teams, and leadership to turn inefficiencies into intelligent systems. Operating with a distinct startup mindset within a large-scale corporate portfolio, your primary focus is driving rapid product innovation, executing AI-driven legacy modernization via agentic swarm coding, and maximizing ROI through autonomous multi-agent workflows.
If you enjoy owning problems end-to-end, possess a relentless bias toward action, and thrive on shipping real systems into production at an unprecedented velocity, this role is for you.
Your mission: act as an organizational force multiplier to increase efficiency, reduce CAC payback periods, increase Net Revenue Retention (NRR), and unlock massive scalability.
Interview process
- Zero-touch CI/CD pipelines and advanced Git workflows (including Git worktree isolation for autonomous sub-agents).
- Unit test and benchmark automation frameworks fully integrated with AI-driven testing.
- Adversarial LLM testing and automated synthetic red-teaming integration.
- Monitoring dynamic access limits and real-time atomic token/credit consumption tracking.
- Strict hallucination mitigation, enterprise guardrails, and deterministic policy-as-code execution.
- Highly hands-on — you ship, not just design. You operate at an unprecedented velocity by orchestrating advanced autonomous tools.
- Entrepreneurial startup mindset — you see legacy inefficiencies and act with a relentless bias toward rapid action.
- Comfortable with ambiguity and translating complex business needs into precise technical execution.
- Business-oriented — you care deeply about ROI, operational leverage, and driving specific financial metrics (CAC, NRR).
- Fast learner — keeps up with real-time shifts in AI ecosystems, hardware architectures (e.g., Cerebras chips), and vital API migrations.
- Pragmatic — uses the right secure enterprise tool for the specific bottleneck, eschewing the fanciest public tool if it compromises stability or compliance.