Build AI that actually works in the real world.
As an AI Engineer at Fluxion, you’ll own how AI is designed, built, and shipped across the product — from agentic workflows to enterprise-grade reliability. This is not a “chatbot” role; it’s about helping models reason over graphs, grids, and real business constraints.
We’re not building one-off prompts or demo agents. You’ll design and implement a managed LLM platform: versioned prompts, multi-model routing, evaluation and rollout pipelines, and enterprise-grade controls for safety, cost, and reliability. Think of it as infrastructure for AI behavior, not just features.
You’ll balance research-level curiosity with strong product and engineering instincts.
What you’ll do
- Design and implement AI/LLM-powered workflows for modelling and scenario analysis
- Build reliable, auditable LLM pipelines with evaluation and observability
- Integrate AI deeply with Fluxion’s graph-based modelling engine
- Establish best practices for safety, reliability, and cost-aware AI systems
- Ship product features in tight loops with founders and design partners
About you
- Experience shipping LLM-powered features in production
- Strong software engineering fundamentals and product mindset
- Comfortable building agents, tools, and non-trivial AI systems
- Pragmatic about trade-offs — reliability beats hype
Tags & focus areas
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