Overview
In this role, you design and ship AI-enabled systems that operate within complex, enterprise-scale environments. You’ll own meaningful architectural decisions and contribute across the full product lifecycle, from understanding real customer problems to delivering deployable solutions. You’ll tackle hard technical challenges like data integration, automation, and AI-driven workflows, helping prevent stagnation caused by legacy systems. This is a high-impact, early-stage opportunity to shape a product that already has customers and real-world use.
Responsibilities
- Design and implement AI-driven systems across large, legacy-rich environments
- Build scalable architectures and data workflows
- Collaborate with customers to understand problems and deliver usable solutions
- Influence technical decisions and product direction
- Ship end-to-end solutions that are deployed and used in real-world enterprise contexts
Key requirements
- Adaptable and curious engineer with a track record of delivering across complex systems
- Strong problem-solving and quality-focused mindset
- Comfort working in ambiguous environments and across different languages/frameworks
- Customer-facing collaboration and ability to translate needs into technical solutions
- adaptability
- curiosity
- quality consciousness
- AI systems design and deployment
- scalable system architectures
- data orchestration and automation
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