Our client is a fast-growing software technology firm in the transportation sector, looking for a Senior Applied AI Engineer to join its AI Platform Engineering Team.
As a founding team member, you will build the AI runtime, retrieval, guardrails, and evaluation that make the platform's AI features work in production.
What you will be doing:
- Build and optimise production AI agents, including orchestration, tool calling, model selection and RAG.
- Develop evaluation frameworks, safety guardrails and automated QA to ensure reliable, high-quality AI systems.
- Own production performance, balancing latency, cost, reliability and measurable business impact.
- Work closely with product teams and customers to validate outcomes, prove value and scale successful solutions.
- Shape engineering best practices, mentor others and help build a culture of technical excellence and pragmatic delivery.
What you will bring:
- Proven experience shipping LLM or ML-backed software into production, including agentic and RAG systems.
- Strong Python or C#/.NET skills, with a solid understanding of agent orchestration and production failure modes.
- Experience building evaluation frameworks and quality controls to measure model and agent performance.
- A cost- and latency-conscious mindset, balancing technical quality with reliability and business value.
- Join a fast-growing Software Technology Company.
- Clear opportunities to grow, take ownership, and progress within the company.
#J-18808-Ljbffr
Applied AI Engineer employer: Lumora Solutions
As an Artificial Intelligence Consultant at our company, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of AI technology. We offer a hybrid work environment that promotes flexibility and work-life balance, alongside competitive salaries and opportunities for professional growth in a rapidly evolving field. Join us to collaborate with top-tier clients on impactful projects while utilising cutting-edge technologies in a supportive and forward-thinking culture.
