Volaris is looking to drive material change in businesses by building AI-powered systems that deliver measurable improvements in revenue, margin, and customer experience. The company aims to reshape how knowledge work gets done by building production systems that have a direct business impact.
Requirements
- 2–5 years of professional experience shipping production systems (Python, TypeScript, Java, .NET, or similar)
- Strong experience working with APIs, data pipelines, and distributed systems
- AI systems expertise: Experience with LLMs, function calling, embeddings/vector DBs, RAG, or agent orchestration
- Full-stack mindset: Willingness to work across frontend, backend, and infrastructure with AI assistance
- Experience with cloud platforms (AWS, GCP, Azure)
- Prior work in AI, analytics, or enterprise SaaS deployments
- Experience with eval frameworks, observability tools, and production AI systems
Responsibilities
- Build and deploy AI-powered solutions that solve materially hard problems (re-platforming, process automation, innovative features)
- Architect AI agents: Tool-using, retrieval-augmented systems with structured outputs and auditable actions
- Build production systems: APIs, data pipelines, frontends; implement CI/CD, logging, and monitoring
- Integrate deeply: Connect with CRMs, ERPs, legacy systems via APIs, webhooks, or custom integrations
- Debug and optimize complex systems across cloud and on-prem infrastructures
- Run evaluations: Track quality, performance, latency, and cost of AI systems
- Provide ongoing support, roadmaps, and feature development for production systems
Other
- Embed on-site with business units to deeply understand workflows and pain points
- Own delivery from prototype through production deployment and user adoption
- Deliver measurable business outcomes: revenue growth, margin improvement, or customer experience gains
- Customer fluency: Ability to conduct discovery, scope work, and communicate clearly with business stakeholders
- High ownership and bias to action — you ship and iterate quickly
