Senior AI Engineer

We're Altura, an ambitious SaaS startup, and we just raised our Series A!

At Altura, we're making it easier for organisations to win complex deals (tenders and RfPs). With our AI-powered platform, we simplify bid management by turning it into a smooth, strategic process. We connect workflows, automate tasks, and make knowledge accessible, so teams can work more efficiently and effectively.

But we're not stopping there.

We're building the first AI-powered Agentic Virtual Bid management Assistant, designed to automate the entire bid lifecycle. With fresh funding, big ambitions, and a fast-growing team, we're just getting started.

If you value innovation, enjoy working collaboratively, and want to make a real impact, we'd love to have you on board.

Let's work together!

TL;

DR

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 growing AI product team that delivers agentic experiences to our customers. You'll collaborate with other AI engineers with unrestricted access to tools that make your work better (Claude Code, Cursor, Copilot, etc.) and will have an active influence in end-to-end feature delivery. Together with other AI engineers, you'll drive the technical direction for high-impact AI initiatives end-to-end (both as product and foundational AI platform capabilities): from discovery and prototyping to production rollout and continuous improvement.

You'll ship AI that is reliable, scalable, and cost-effective.
OLIVIA'S VERSION

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:

• From discovery and greenfield prototyping

• To model evaluation and multi-model strategy

• 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.

You'll ship AI that is:

• Reliable in production

• Scalable across customers

• Measurable in impact

• Cost-aware by design

And you'll help define what "great AI engineering" looks like inside a Series A company operating at the leading edge.

AI: Python

Frontend: Vue.js and Next.js

Backend: C# - ASP.NET

Infrastructure: Azure, Git Hub, Linear

• Design and Deliver an agentic layer and a rich context graph that delivers automation of work with deep integration in our customers knowledge repositories.

• Drive architecture & delivery of production LLM/GenAI systems (context engineering, agentic workflows, model evaluations, multi-model strategies).

• Define and implement evaluation
  : offline + online metrics, gold sets, regression tests, human review loops, and A/B experiments.

• Operationalize LLMOps
  : deployment patterns, observability, monitoring, incident response, and performance/cost optimization (latency, throughput, token spend).

• Build guardrails & security
  : prompt-injection defenses, data-exfiltration prevention, permissions for tools/actions, and safe handling of sensitive data.

• Establish engineering standards
  : reference implementations, reusable libraries, review practices, and documentation that accelerates teams.

• Mentor and influence
  : coach engineers, raise the bar on system design and code quality, and align multiple teams on outcomes and timelines.

• Extensive experience in AI/ML software engineering (or equivalent), with multiple production AI/ML launches
  .

• Strong software engineering fundamentals (system design, testing, reliability, code review, APIs).

• Proven experience with LLM application patterns (e.g.,
  context engineering
  , output quality, embeddings/vector search, prompt design, structured outputs).

• Hands-on experience building evaluation + monitoring for model/system quality in production.

• Comfort operating in cloud environments (Azure), containers, CI/CD, and modern observability.

• Excellent cross-functional communication: you can translate ambiguity into plans, tradeoffs, and shipped outcomes.

• Experience optimizing inference (caching, batching, routing, quantization) or serving open-source models.

• Experience building internal AI platforms (evaluation harnesses, prompt/version…