We’re a high-performing, innovative Engineering team. Our goal is to build a world class culture and are well under way. We apply the latest AI technologies and tools for software development, like spec-driven development (using Speckit), but avoid falling into the trap of vibe coding. We hold ourselves to the highest standards of software engineering and everyone is expected to understand the code written by the AI tools we drive. We foster a culture of experimentation, and open communication.
What sets us apart: engineers own their projects end-to-end: frontend, backend, infrastructure and monitoring. You make the architectural decisions, write the specs, ship the work and monitor performance and usage. When you need help, you rely on your peers for collaboration, solution brainstorming, and expertise whenever you need it
If you love building software in the agentic way, working on high-performing teams, and having a significant impact on the business, you’ll feel right at home at Altura.
Altura is building the first agentic AI Virtual Bid Manager—a system that automates the entire bid lifecycle—and creating the Knowledge Center that turns bid data into actionable insights for organisations to make smarter, data-driven decisions.
As a Senior AI Engineer, you’ll join a high-caliber team building the agentic layer that powers Altura’s next evolution. This is not a “plug prompts into an API” role. You’ll design and ship real agentic workflows: context-aware, production-grade systems that sit on top of our proprietary data graph and become a core technical moat.
You’ll work in a small, fast-moving team with full freedom to experiment: Claude Code, Cursor, Copilot, and new models the day they drop. If something advances the state of the art, we’re using it.
You’ll drive high-impact AI initiatives end-to-end:
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From discovery and greenfield prototyping
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To model evaluation and multi-model strategy
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To production rollout, observability, and continuous improvement
Beyond product capabilities, you’ll help shape foundational AI platform components: context engineering, agent orchestration, evaluation frameworks, tone monitoring, and online observability.
No corporate red tape. No endless committees. Just ownership, speed, and real technical influence.
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Scalable across customers
And you’ll help define what “great AI engineering” looks like inside a Series A company operating at the leading edge.
Frontend: Vue.js and Next.js
Infrastructure: Azure, GitHub, Linear